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Hu, Wenlong

ShenZhen People’s Hospital

Current S-Index

6.6

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.8

Average Dataset Index per dataset

Total Datasets

8

Total datasets for this author

Average FAIR Score

85.6%

Average FAIR Score per dataset

Total Citations

8

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 Molecular architecture of mesoderm cells across early to middle stage of human embryo development at single-cell resolution

Supplementary Material 2

Authors

  • Zhang, Wei ;
  • Yu, Haiyan ;
  • Zhang, Zhibin ;
  • Li, Dandan ;
  • Yang, Yane ;
  • Shi, Wei ;
  • Li, Wenting ;
  • Jiang, Yan ;
  • Hu, Wenlong ;
  • Zeng, Zhipeng ;
  • Liu, Xinqiong ;
  • Zheng, Zhanye ;
  • Ou, Minglin ;
  • Tang, Donge ;
  • Dai, Yong
1 Citation0 Mentions88% FAIR0.9 Dataset Index
10.6084/m9.figshare.311655612026

Additional file 2 of Molecular architecture of mesoderm cells across early to middle stage of human embryo development at single-cell resolution (Version: 1)

Supplementary Material 2

Authors

  • Zhang, Wei ;
  • Yu, Haiyan ;
  • Zhang, Zhibin ;
  • Li, Dandan ;
  • Yang, Yane ;
  • Shi, Wei ;
  • Li, Wenting ;
  • Jiang, Yan ;
  • Hu, Wenlong ;
  • Zeng, Zhipeng ;
  • Liu, Xinqiong ;
  • Zheng, Zhanye ;
  • Ou, Minglin ;
  • Tang, Donge ;
  • Dai, Yong
1 Citation0 Mentions88% FAIR0.9 Dataset Index
10.6084/m9.figshare.31165561.v12026

Additional file 3 of Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney

Additional file 3: Table S2. The proportion of signatures of different scRNA-seq cell types in each ST spot of the 9 and 18 PCW kidney tissues.

Authors

  • Wu, Hongwei ;
  • Liu, Fanna ;
  • Shangguan, Yu ;
  • Yang, Yane ;
  • Shi, Wei ;
  • Hu, Wenlong ;
  • Zeng, Zhipeng ;
  • Hu, Nan ;
  • Zhang, Xinzhou ;
  • Hocher, Berthold ;
  • Tang, Donge ;
  • Yin, Lianghong ;
  • Dai, Yong
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.20000474.v12022

Additional file 3 of Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney

Additional file 3: Table S2. The proportion of signatures of different scRNA-seq cell types in each ST spot of the 9 and 18 PCW kidney tissues.

Authors

  • Wu, Hongwei ;
  • Liu, Fanna ;
  • Shangguan, Yu ;
  • Yang, Yane ;
  • Shi, Wei ;
  • Hu, Wenlong ;
  • Zeng, Zhipeng ;
  • Hu, Nan ;
  • Zhang, Xinzhou ;
  • Hocher, Berthold ;
  • Tang, Donge ;
  • Yin, Lianghong ;
  • Dai, Yong
1 Citation0 Mentions85% FAIR0.8 Dataset Index
10.6084/m9.figshare.200004742022

Additional file 2 of Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney

Additional file 2: Table S1. Quality control of ST-seq date from 9 and 18 PCW kidneys.

Authors

  • Wu, Hongwei ;
  • Liu, Fanna ;
  • Shangguan, Yu ;
  • Yang, Yane ;
  • Shi, Wei ;
  • Hu, Wenlong ;
  • Zeng, Zhipeng ;
  • Hu, Nan ;
  • Zhang, Xinzhou ;
  • Hocher, Berthold ;
  • Tang, Donge ;
  • Yin, Lianghong ;
  • Dai, Yong
1 Citation0 Mentions85% FAIR0.8 Dataset Index
10.6084/m9.figshare.200004712022

Additional file 4 of Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney

Additional file 4: Table S3. The biological process of each ST-seq cluster.

Authors

  • Wu, Hongwei ;
  • Liu, Fanna ;
  • Shangguan, Yu ;
  • Yang, Yane ;
  • Shi, Wei ;
  • Hu, Wenlong ;
  • Zeng, Zhipeng ;
  • Hu, Nan ;
  • Zhang, Xinzhou ;
  • Hocher, Berthold ;
  • Tang, Donge ;
  • Yin, Lianghong ;
  • Dai, Yong
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.20000477.v12022

Additional file 4 of Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney

Additional file 4: Table S3. The biological process of each ST-seq cluster.

Authors

  • Wu, Hongwei ;
  • Liu, Fanna ;
  • Shangguan, Yu ;
  • Yang, Yane ;
  • Shi, Wei ;
  • Hu, Wenlong ;
  • Zeng, Zhipeng ;
  • Hu, Nan ;
  • Zhang, Xinzhou ;
  • Hocher, Berthold ;
  • Tang, Donge ;
  • Yin, Lianghong ;
  • Dai, Yong
1 Citation0 Mentions85% FAIR0.8 Dataset Index
10.6084/m9.figshare.200004772022

Additional file 2 of Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney

Additional file 2: Table S1. Quality control of ST-seq date from 9 and 18 PCW kidneys.

Authors

  • Wu, Hongwei ;
  • Liu, Fanna ;
  • Shangguan, Yu ;
  • Yang, Yane ;
  • Shi, Wei ;
  • Hu, Wenlong ;
  • Zeng, Zhipeng ;
  • Hu, Nan ;
  • Zhang, Xinzhou ;
  • Hocher, Berthold ;
  • Tang, Donge ;
  • Yin, Lianghong ;
  • Dai, Yong
1 Citation0 Mentions85% FAIR0.9 Dataset Index
10.6084/m9.figshare.20000471.v12022