🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Sijian Wang

Rutgers, The State University of New Jersey

ORCID: 0000-0002-7094-2816

Also affiliated with Beijing Tongren Hospital, Capital Medical University

MathematicsBiochemistry, Genetics and Molecular BiologyComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 3%percentile
1.4Author DataRank

Indexed papers

2in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 2 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Assessing PDB macromolecular crystal structure confidence at the individual amino acid residue level

Structure(2022)10.1016/j.str.2022.08.004
Top 14%
1.4DataRank
Top 14%46 citations

Sebastian Bittrich, Sijian Wang, S.K. Burley, Chenghua Shao

Papers

Driven by 9 papers — median percentile 43. Top paper: “Assessing PDB macromolecular crystal structure confidence at the individual amino acid residue level”.

Assessing PDB macromolecular crystal structure confidence at the individual amino acid residue level

Structure(2022)10.1016/j.str.2022.08.004
Top 14%
1.4DataRank
Top 14%46 citations

Sebastian Bittrich, Sijian Wang, S.K. Burley, Chenghua Shao

Simplified quality assessment for small-molecule ligands in the Protein Data Bank

Structure(2022)10.1016/j.str.2021.10.003
N/A
0DataRank · unranked
24 citations

John Westbrook, Changpeng Lu, Charmi Bhikadiya, Ezra Peisach, Jasmine Y. Young +7 more

Effective prediction of short hydrogen bonds in proteins via machine learning method

Scientific Reports(2022)10.1038/s41598-021-04306-4
N/A
0DataRank · unranked
17 citations

Yuanhao Liu, Sijian Wang, Lu Wang, Shengmin Zhou

Assessing macromolecular crystal structures for agreement with experimental data at the individual amino acid residue level

Acta Crystallographica Section A Foundations and Advances(2022)10.1107/s205327332209979x
Top 100%
0DataRank
Top 100%0 citations

Chenghua Shao, Sijian Wang, S.K. Burley

Prediction and design of protease enzyme specificity using a structure-aware graph convolutional network

Proceedings of the National Academy of Sciences(2023)10.1073/pnas.2303590120
N/A
0DataRank · unranked
28 citations

Joseph H. Lubin, Vidur Sarma, Samuel Z. Stentz, Guanyang Wang, Sijian Wang +2 more

Chemical features and machine learning assisted predictions of protein-ligand short hydrogen bonds

Scientific Reports(2023)10.1038/s41598-023-40614-7
N/A
0DataRank · unranked
1 citations

Yuanhao Liu, Sijian Wang, Lu Wang, Shengmin Zhou

Prediction and Design of Protease Enzyme Specificity Using a Structure-Aware Graph Convolutional Network

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.02.16.528728
N/A
0DataRank · unranked
3 citations

Joseph H. Lubin, Vidur Sarma, Samuel Z. Stentz, Guanyang Wang, Sijian Wang +2 more

Chemical Features and Machine Learning Assisted Predictions of Protein-Ligand Short Hydrogen Bonds

Research Square(2023)10.21203/rs.3.rs-2895170/v1
N/A
0DataRank · unranked
0 citations

Yuanhao Liu, Sijian Wang, Lu Wang, Shengmin Zhou

Modeling Infrared Spectroscopy of Nucleic Acids: Integrating Vibrational Non-Condon Effects with Machine Learning Schemes

Journal of Chemical Theory and Computation(2024)10.1021/acs.jctc.4c01130
N/A
0DataRank · unranked
6 citations

Yuanhao Liu, Wenting Meng, Yaoyukun Jiang, Sijian Wang, Lu Wang +1 more