Automated Author ProfileSun, Lu
Sun, Lu
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: 21.8 (sum of 38 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Sun, Lu ;
- Liu, Qing ;
- Dang, Song ;
- Jia, Jiangtao
The datasets analyzed in the current study, including the output of the molecular network, sample-sample chemical structural and compositional similarity (entire metabolites and seven different biosynthetic pathways), plot-species-community data, and the phylogenetic tree of 206 tree species.The R material contains scripts to replicate the analyses from the manuscript, including calculating the chemical structural and compositional similarity (CSCS) index between samples, assessing the number of unique chemical compounds for each forest plot across three climatic zones, calculating chemical rarefaction and NMDS, quantifying the phylogenetic signal of PSM across species-level phylogeny, calculating the alpha, and beta (observed and null model) diversity at community-level, exploring the elevational pattern of herbivorous pressure.
Authors
- Sun, Lu ;
- Yang, Jie ;
- Swenson, Nathan G. ;
- Cao, Min ;
- Zhou, Xiang ;
- He, Yunyun ;
- Wang, Xuezhao
The datasets analyzed in the current study, including the output of the molecular network, sample-sample chemical structural and compositional similarity (entire metabolites and seven different biosynthetic pathways), plot-species-community data, and the phylogenetic tree of 206 tree species.The R material contains scripts to replicate the analyses from the manuscript, including calculating the chemical structural and compositional similarity (CSCS) index between samples, assessing the number of unique chemical compounds for each forest plot across three climatic zones, calculating chemical rarefaction and NMDS, quantifying the phylogenetic signal of PSM across species-level phylogeny, calculating the alpha, and beta (observed and null model) diversity at community-level, exploring the elevational pattern of herbivorous pressure.
Authors
- Sun, Lu ;
- Yang, Jie ;
- Swenson, Nathan G. ;
- Cao, Min ;
- Zhou, Xiang ;
- He, Yunyun ;
- Wang, Xuezhao
DTI prediction using improved random walk with restart learning network topology
Authors
- Sun, Lu
DTI prediction using improved random walk with restart learning network topology
Authors
- Sun, Lu
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Sun, Lu ;
- Chen, Linlin ;
- Yang, Zihui ;
- Sun, Xuebao ;
- Jin, Daojun ;
- Qiu, Yigui ;
- Gu, Wen
The datasets analyzed in the current study, including the output of the molecular network, sample-sample chemical structural and compositional similarity (entire metabolites and seven different biosynthetic pathways), plot-species-community data, and the phylogenetic tree of 206 tree species.The R material contains scripts to replicate the analyses from the manuscript, including calculating the chemical structural and compositional similarity (CSCS) index between samples, assessing the number of unique chemical compounds for each forest plot across three climatic zones, calculating chemical rarefaction and NMDS, quantifying the phylogenetic signal of PSM across species-level phylogeny, calculating the alpha, and beta (observed and null model) diversity at community-level, exploring the elevational pattern of herbivorous pressure.
Authors
- Sun, Lu ;
- Yang, Jie ;
- Swenson, Nathan G. ;
- Cao, Min ;
- Zhou, Xiang ;
- He, Yunyun ;
- Wang, Xuezhao
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Authors
- Zhao, Xu ;
- Sun, Lu ;
- Zhai, Zhouxiao ;
- Tian, Di ;
- Wang, Ying ;
- Zou, Xiaoqin ;
- Min, Chungang ;
- Zhuang, Changfu
Additional file 6: Table S3. Duplicate type of CNGCs in G. hirsutum and G. barbadense.
Authors
- Lu, Zhengying ;
- Yin, Guo ;
- Chai, Mao ;
- Sun, Lu ;
- Wei, Hengling ;
- Chen, Jie ;
- Yang, Yufeng ;
- Fu, Xiaokang ;
- Li, Shiyun
Additional file 4: Table S1. Numbers of CNGC genes in each group of seven plant species.
Authors
- Lu, Zhengying ;
- Yin, Guo ;
- Chai, Mao ;
- Sun, Lu ;
- Wei, Hengling ;
- Chen, Jie ;
- Yang, Yufeng ;
- Fu, Xiaokang ;
- Li, Shiyun