Automated Author Profile

Wang, Shaokui

South China Agricultural University

Current S-Index

8.2

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.7

Average Dataset Index per dataset

Total Datasets

12

Total datasets for this author

Average FAIR Score

67.3%

Average FAIR Score per dataset

Total Citations

10

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Additional file 2 of Pyramiding of Low Chalkiness QTLs Is an Effective Way to Reduce Rice Chalkiness

Supplementary Material 2: Table S1 QTLs for PGC and their position in the substitution segments in SSSLs. Table S2 Substitution segments carrying QTLs for PGC in pyramiding lines. Table S3 The phenotypes of rice chalkiness in 1QLs to 4QLs. Table S4 Additive effects of QTL combinations on PGC in 1QLs to 4QLs. Table S5 Epistatic effects of QTL combinations on PGC in pyramiding lines. Table S6 Average temperatures of 30 days after rice flowering in different cropping seasons

Authors

  • Yang, Weifeng ;
  • Chen, Songliang ;
  • Hao, Qingwen ;
  • Zhu, Haitao ;
  • Tan, Quanya ;
  • Lin, Shaojun ;
  • Chen, Guodong ;
  • Li, Zhan ;
  • Bu, Suhong ;
  • Liu, Zupei ;
  • Liu, Guifu ;
  • Wang, Shaokui ;
  • Zhang, Guiquan
0 Citations0 Mentions85% FAIR0.1 Dataset Index
10.6084/m9.figshare.249559852024

Additional file 2 of Pyramiding of Low Chalkiness QTLs Is an Effective Way to Reduce Rice Chalkiness

Supplementary Material 2: Table S1 QTLs for PGC and their position in the substitution segments in SSSLs. Table S2 Substitution segments carrying QTLs for PGC in pyramiding lines. Table S3 The phenotypes of rice chalkiness in 1QLs to 4QLs. Table S4 Additive effects of QTL combinations on PGC in 1QLs to 4QLs. Table S5 Epistatic effects of QTL combinations on PGC in pyramiding lines. Table S6 Average temperatures of 30 days after rice flowering in different cropping seasons

Authors

  • Yang, Weifeng ;
  • Chen, Songliang ;
  • Hao, Qingwen ;
  • Zhu, Haitao ;
  • Tan, Quanya ;
  • Lin, Shaojun ;
  • Chen, Guodong ;
  • Li, Zhan ;
  • Bu, Suhong ;
  • Liu, Zupei ;
  • Liu, Guifu ;
  • Wang, Shaokui ;
  • Zhang, Guiquan
0 Citations0 Mentions15% FAIR0.2 Dataset Index
10.6084/m9.figshare.24955985.v12024

Additional file 12 of Weighted gene coexpression network analysis-based identification of key modules and hub genes associated with drought sensitivity in rice

Additional file 12: Table S2–1. The differentially expressed genes (DEGs) identified in the comparison of PR403_CK22vsPR403_CK40 (log2FC ≥ 1 and padj ≤ 0.05). Table S2–2. The differentially expressed genes (DEGs) identified in the comparison of PR403_CK20vsPR403_CK40 (log2FC ≥ 1 and padj ≤ 0.05). Table S2–3. The differentially expressed genes (DEGs) identified in the comparison of PY6_CK22vsPY6_CK40 (log2FC ≥ 1 and padj ≤ 0.05). Table S2–4. The differentially expressed genes (DEGs) identified in the comparison of PY6_CK20vsPY6_CK40 (log2FC ≥ 1 and padj ≤ 0.05). Table S2–5. The development dependent DEGs identified in the comparison of PR403_CK22vsPR403_CK40 (log2FC ≥ 1 and padj ≤ 0.05). Table S2–6 The development dependent DEGs identified in the comparison of PR403_CK20vsPR403_CK40 (log2FC ≥ 1 and padj ≤ 0.05). Table S2–7. The development dependent DEGs identified in the comparison of PY6_CK22vsPY6_CK40 (log2FC ≥ 1 and padj ≤ 0.05). Table S2–8. The development dependent DEGs identified in the comparison of PY6_CK20vsPY6_CK40 (log2FC ≥ 1 and padj ≤ 0.05). Table S2–9. The differentially expressed genes (DEGs) identified in the comparison of PR403_22vsPR403_CK40 (log2FC ≥ 1 and padj ≤ 0.05). Table S2–10. The differentially expressed genes (DEGs) identified in the comparison of PR403_20vsPR403_CK40 (log2FC ≥ 1 and padj ≤ 0.05). Table S2–11. The differentially expressed genes (DEGs) identified in the comparison of PY6_22vsPY6_CK40 (log2FC ≥ 1 and padj ≤ 0.05). Table S2–12. The differentially expressed genes (DEGs) identified in the comparison of PY6_20vsPY6_CK40 (log2FC ≥ 1 and padj ≤ 0.05).

Authors

  • Yu, Baiyang ;
  • Liu, Jianbin ;
  • Wu, Di ;
  • Liu, Ying ;
  • Cen, Weijian ;
  • Wang, Shaokui ;
  • Li, Rongbai ;
  • Luo, Jijing
1 Citation0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.13120734.v12020

Additional file 12 of Weighted gene coexpression network analysis-based identification of key modules and hub genes associated with drought sensitivity in rice

Additional file 12: Table S2–1. The differentially expressed genes (DEGs) identified in the comparison of PR403_CK22vsPR403_CK40 (log2FC ≥ 1 and padj ≤ 0.05). Table S2–2. The differentially expressed genes (DEGs) identified in the comparison of PR403_CK20vsPR403_CK40 (log2FC ≥ 1 and padj ≤ 0.05). Table S2–3. The differentially expressed genes (DEGs) identified in the comparison of PY6_CK22vsPY6_CK40 (log2FC ≥ 1 and padj ≤ 0.05). Table S2–4. The differentially expressed genes (DEGs) identified in the comparison of PY6_CK20vsPY6_CK40 (log2FC ≥ 1 and padj ≤ 0.05). Table S2–5. The development dependent DEGs identified in the comparison of PR403_CK22vsPR403_CK40 (log2FC ≥ 1 and padj ≤ 0.05). Table S2–6 The development dependent DEGs identified in the comparison of PR403_CK20vsPR403_CK40 (log2FC ≥ 1 and padj ≤ 0.05). Table S2–7. The development dependent DEGs identified in the comparison of PY6_CK22vsPY6_CK40 (log2FC ≥ 1 and padj ≤ 0.05). Table S2–8. The development dependent DEGs identified in the comparison of PY6_CK20vsPY6_CK40 (log2FC ≥ 1 and padj ≤ 0.05). Table S2–9. The differentially expressed genes (DEGs) identified in the comparison of PR403_22vsPR403_CK40 (log2FC ≥ 1 and padj ≤ 0.05). Table S2–10. The differentially expressed genes (DEGs) identified in the comparison of PR403_20vsPR403_CK40 (log2FC ≥ 1 and padj ≤ 0.05). Table S2–11. The differentially expressed genes (DEGs) identified in the comparison of PY6_22vsPY6_CK40 (log2FC ≥ 1 and padj ≤ 0.05). Table S2–12. The differentially expressed genes (DEGs) identified in the comparison of PY6_20vsPY6_CK40 (log2FC ≥ 1 and padj ≤ 0.05).

Authors

  • Yu, Baiyang ;
  • Liu, Jianbin ;
  • Wu, Di ;
  • Liu, Ying ;
  • Cen, Weijian ;
  • Wang, Shaokui ;
  • Li, Rongbai ;
  • Luo, Jijing
1 Citation0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.131207342020

Additional file 13 of Weighted gene coexpression network analysis-based identification of key modules and hub genes associated with drought sensitivity in rice

Additional file 13: Table S3–1. Hub genes list of module black. Table S3–2. Hub genes list of module blue. Table S3–3. Hub genes list of module grey60. Table S3–4. Hub genes list of module green. Table S3–5. Hub genes list of module red. Table S3–6. Hub genes list of module brown. Table S3–7. Hub genes list of module royalblue.

Authors

  • Yu, Baiyang ;
  • Liu, Jianbin ;
  • Wu, Di ;
  • Liu, Ying ;
  • Cen, Weijian ;
  • Wang, Shaokui ;
  • Li, Rongbai ;
  • Luo, Jijing
1 Citation0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.13120737.v12020

Additional file 14 of Weighted gene coexpression network analysis-based identification of key modules and hub genes associated with drought sensitivity in rice

Additional file 14: Table S4. Differentially expressed hub genes identified in module brown.

Authors

  • Yu, Baiyang ;
  • Liu, Jianbin ;
  • Wu, Di ;
  • Liu, Ying ;
  • Cen, Weijian ;
  • Wang, Shaokui ;
  • Li, Rongbai ;
  • Luo, Jijing
1 Citation0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.131207402020

Additional file 1 of Substitution Mapping of the Major Quantitative Trait Loci Controlling Stigma Exsertion Rate from Oryza glumaepatula

Additional file 1: Table S1. Stigma exsertion rate of the 9 SSSLs in 5 cropping seasons. Table S2. Analysis of variance based on a fixed-effect model of the 9 SSSLs in 5 cropping seasons. Table S3. Developed markers used to detect the substituted segments of the SSSLs. Table S4. Substituted segments detected by markers in the SSSLs. Table S5. Phenotypes of agronomic traits in the SSSLs.

Authors

  • Tan, Quanya ;
  • Zou, Tuo ;
  • Zheng, Mingmin ;
  • Ni, Yuerong ;
  • Luan, Xin ;
  • Li, Xiaohui ;
  • Yang, Weifeng ;
  • Yang, Zifeng ;
  • Zhu, Haitao ;
  • Zeng, Ruizhen ;
  • Liu, Guifu ;
  • Wang, Shaokui ;
  • Fu, Xuelin ;
  • Zhang, Guiquan
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.6084/m9.figshare.124570132020

Additional file 15 of Weighted gene coexpression network analysis-based identification of key modules and hub genes associated with drought sensitivity in rice

Additional file 15: Table S5–1. GO enrichment result of module black. Table S5–2. GO enrichment result of module blue. Table S5–3. GO enrichment result of module grey60. Table S5–4. GO enrichment result of module green. Table S5–5. GO enrichment result of module red. Table S5–6. GO enrichment result of module brown. Table S5–7. GO enrichment result of module royalblue. Table S5–8 GO enrichment result of PR403 22 vs PR403 CK40. Table S5–9. GO enrichment result of PR403 20 vs PR403 CK40. Table S5–10. GO enrichment result of PY6 22 vs PY6 CK40. Table S5–11. GO enrichment result of PY6 20 vs PY6 CK40.

Authors

  • Yu, Baiyang ;
  • Liu, Jianbin ;
  • Wu, Di ;
  • Liu, Ying ;
  • Cen, Weijian ;
  • Wang, Shaokui ;
  • Li, Rongbai ;
  • Luo, Jijing
1 Citation0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.131207432020

Additional file 15 of Weighted gene coexpression network analysis-based identification of key modules and hub genes associated with drought sensitivity in rice

Additional file 15: Table S5–1. GO enrichment result of module black. Table S5–2. GO enrichment result of module blue. Table S5–3. GO enrichment result of module grey60. Table S5–4. GO enrichment result of module green. Table S5–5. GO enrichment result of module red. Table S5–6. GO enrichment result of module brown. Table S5–7. GO enrichment result of module royalblue. Table S5–8 GO enrichment result of PR403 22 vs PR403 CK40. Table S5–9. GO enrichment result of PR403 20 vs PR403 CK40. Table S5–10. GO enrichment result of PY6 22 vs PY6 CK40. Table S5–11. GO enrichment result of PY6 20 vs PY6 CK40.

Authors

  • Yu, Baiyang ;
  • Liu, Jianbin ;
  • Wu, Di ;
  • Liu, Ying ;
  • Cen, Weijian ;
  • Wang, Shaokui ;
  • Li, Rongbai ;
  • Luo, Jijing
1 Citation0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.13120743.v12020

Additional file 13 of Weighted gene coexpression network analysis-based identification of key modules and hub genes associated with drought sensitivity in rice

Additional file 13: Table S3–1. Hub genes list of module black. Table S3–2. Hub genes list of module blue. Table S3–3. Hub genes list of module grey60. Table S3–4. Hub genes list of module green. Table S3–5. Hub genes list of module red. Table S3–6. Hub genes list of module brown. Table S3–7. Hub genes list of module royalblue.

Authors

  • Yu, Baiyang ;
  • Liu, Jianbin ;
  • Wu, Di ;
  • Liu, Ying ;
  • Cen, Weijian ;
  • Wang, Shaokui ;
  • Li, Rongbai ;
  • Luo, Jijing
1 Citation0 Mentions85% FAIR2.4 Dataset Index
10.6084/m9.figshare.131207372020