Automated Author ProfileWei, Fan
Wei, Fan
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 4.1 (sum of 10 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Lonicera microphylla Willd. ex Roem. & Schult. 1819 is a medicinal plant species, especially for treating chronic fever and dysentery. This study aimed to characterize the chloroplast genome of L. microphylla and reconstruct the phylogenetic relationships among Lonicera Linn. 1753. The circular complete chloroplast genome is 154,945 bp in length, with two inverted repeat regions (IRs; 23,841 bp), separated by a small single-copy region (SSC; 18,789 bp) and a large single-copy region (LSC; 88,474 bp). The overall GC content of L. microphylla plastome was 38.36%. The chloroplast genome encoded a total of 131 genes, including 84 protein-coding genes, 39 tRNA genes, and eight rRNA genes. Phylogenetic analysis reveals that L. microphylla was more closely related to Lonicera tangutica Maxim. 1878. Our result can provide reference for the phylogenetic relationship, resource development, and utilization of Lonicera.
Authors
- Wei, Xiaomei ;
- Hu, Ying ;
- Huang, Baoyou ;
- Peng, Yude ;
- Zhu, Yanxia ;
- Wei, Fan
Lonicera microphylla Willd. ex Roem. & Schult. 1819 is a medicinal plant species, especially for treating chronic fever and dysentery. This study aimed to characterize the chloroplast genome of L. microphylla and reconstruct the phylogenetic relationships among Lonicera Linn. 1753. The circular complete chloroplast genome is 154,945 bp in length, with two inverted repeat regions (IRs; 23,841 bp), separated by a small single-copy region (SSC; 18,789 bp) and a large single-copy region (LSC; 88,474 bp). The overall GC content of L. microphylla plastome was 38.36%. The chloroplast genome encoded a total of 131 genes, including 84 protein-coding genes, 39 tRNA genes, and eight rRNA genes. Phylogenetic analysis reveals that L. microphylla was more closely related to Lonicera tangutica Maxim. 1878. Our result can provide reference for the phylogenetic relationship, resource development, and utilization of Lonicera.
Authors
- Wei, Xiaomei ;
- Hu, Ying ;
- Huang, Baoyou ;
- Peng, Yude ;
- Zhu, Yanxia ;
- Wei, Fan
Additional file1: Table S1. Data information of A.tsaoko transcriptome. Table S2. The differentially expressed genes shared in three comparison. Table S3. The differentially expressed genes involved in signal transduction pathways. Table S4. The detailed information of DEPs. Table S5. Gene ontology term assignments for the DEPs. Table S6. The detailed information of proteins correlated with transcripts. Table S7. qRT-PCR analysis of 50 DEGs. Table S8. qRT-PCR primers for candidate genes.
Authors
- Pan, Chunliu ;
- Yao, Lixiang ;
- Yu, Liying ;
- Qiao, Zhu ;
- Tang, Meiqiong ;
- Wei, Fan ;
- Huang, Xueyan ;
- Zhou, Yunyi
Additional file1: Table S1. Data information of A.tsaoko transcriptome. Table S2. The differentially expressed genes shared in three comparison. Table S3. The differentially expressed genes involved in signal transduction pathways. Table S4. The detailed information of DEPs. Table S5. Gene ontology term assignments for the DEPs. Table S6. The detailed information of proteins correlated with transcripts. Table S7. qRT-PCR analysis of 50 DEGs. Table S8. qRT-PCR primers for candidate genes.
Authors
- Pan, Chunliu ;
- Yao, Lixiang ;
- Yu, Liying ;
- Qiao, Zhu ;
- Tang, Meiqiong ;
- Wei, Fan ;
- Huang, Xueyan ;
- Zhou, Yunyi
Additional file 6: Table S3. Known and novel miRNAs identified in the study.
Authors
- Liang, Ying ;
- Wei, Kunhua ;
- Wei, Fan ;
- Qin, Shuangshuang ;
- Deng, Chuanhua ;
- Lin, Yang ;
- Li, Mingjie ;
- Gu, Li ;
- Wei, Guili ;
- Miao, Jianhua ;
- Zhang, Zhongyi
Additional file 4: Table S1. Primers used for qRT-PCR.
Authors
- Liang, Ying ;
- Wei, Kunhua ;
- Wei, Fan ;
- Qin, Shuangshuang ;
- Deng, Chuanhua ;
- Lin, Yang ;
- Li, Mingjie ;
- Gu, Li ;
- Wei, Guili ;
- Miao, Jianhua ;
- Zhang, Zhongyi
Additional file 6: Table S3. Known and novel miRNAs identified in the study.
Authors
- Liang, Ying ;
- Wei, Kunhua ;
- Wei, Fan ;
- Qin, Shuangshuang ;
- Deng, Chuanhua ;
- Lin, Yang ;
- Li, Mingjie ;
- Gu, Li ;
- Wei, Guili ;
- Miao, Jianhua ;
- Zhang, Zhongyi
Additional file 4: Table S1. Primers used for qRT-PCR.
Authors
- Liang, Ying ;
- Wei, Kunhua ;
- Wei, Fan ;
- Qin, Shuangshuang ;
- Deng, Chuanhua ;
- Lin, Yang ;
- Li, Mingjie ;
- Gu, Li ;
- Wei, Guili ;
- Miao, Jianhua ;
- Zhang, Zhongyi
Additional file 5: Table S2. Differentially regulated genes in CK vs. MDT and CK vs. SDT.
Authors
- Liang, Ying ;
- Wei, Kunhua ;
- Wei, Fan ;
- Qin, Shuangshuang ;
- Deng, Chuanhua ;
- Lin, Yang ;
- Li, Mingjie ;
- Gu, Li ;
- Wei, Guili ;
- Miao, Jianhua ;
- Zhang, Zhongyi
Additional file 5: Table S2. Differentially regulated genes in CK vs. MDT and CK vs. SDT.
Authors
- Liang, Ying ;
- Wei, Kunhua ;
- Wei, Fan ;
- Qin, Shuangshuang ;
- Deng, Chuanhua ;
- Lin, Yang ;
- Li, Mingjie ;
- Gu, Li ;
- Wei, Guili ;
- Miao, Jianhua ;
- Zhang, Zhongyi