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

Lisha Zhu

North Sichuan Medical University

ORCID: 0000-0002-3573-5512

Also affiliated with Tongji University, Yangtze University, Peking University, Hainan University, University of Chicago, Stomatology Hospital, Nanchong Central Hospital, First People's Hospital of Jingzhou, Hunan Agricultural University

Agricultural and Biological SciencesBiochemistry, Genetics and Molecular BiologyMedicine

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 2%percentile
2.3Author DataRank

Indexed papers

3in 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 3 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.

A molecular atlas of the human postmenopausal fallopian tube and ovary from single-cell RNA and ATAC sequencing

Cell Reports(2022)10.1016/j.celrep.2022.111838
Top 14%
1.4DataRank
Top 14%73 citations

Yan Li, Melanie Weigert, Lisha Zhu, Heather Eckart, Melissa Javellana +11 more

Papers

Driven by 13 papers — median percentile 66. Top paper: “A molecular atlas of the human postmenopausal fallopian tube and ovary from single-cell RNA and ATAC sequencing”.

A molecular atlas of the human postmenopausal fallopian tube and ovary from single-cell RNA and ATAC sequencing

Cell Reports(2022)10.1016/j.celrep.2022.111838
Top 14%
1.4DataRank
Top 14%73 citations

Yan Li, Melanie Weigert, Lisha Zhu, Heather Eckart, Melissa Javellana +11 more

A cell atlas of the human fallopian tube throughout the menstrual cycle and menopause

Nature Communications(2025)10.1038/s41467-024-55440-2
Top 34%
0.580DataRank
Top 34%22 citations

Yan Li, Lisha Zhu, Heather Eckart, Preety Bajwa, Rahul Krishnan +7 more

A molecular atlas of the human postmenopausal fallopian tube and ovary from single-cell RNA and ATAC sequencing

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.08.04.502826
Top 53%
0.318DataRank
Top 53%6 citations

Yan Li, Melanie Weigert, Lisha Zhu, Heather Eckart, Melissa Javellana +10 more

Subgingival Microbiome and Specialized Pro-Resolving Lipid Mediator Pathway Profiles Are Correlated in Periodontal Inflammation

Frontiers in Immunology(2021)10.3389/fimmu.2021.691216
N/A
0DataRank · unranked
40 citations

Ruoxing Li, Lisha Zhu, Gena D. Tribble, Wenjin Zheng, Brittney Ferguson +4 more

Reshaping the tumor microenvironment with oncolytic viruses, positive regulation of the immune synapse, and blockade of the immunosuppressive oncometabolic circuitry

Journal for ImmunoTherapy of Cancer(2022)10.1136/jitc-2022-004935
N/A
0DataRank · unranked
56 citations

Dong Ho Shin, Sagar Sohoni, Sanjay K. Singh, Yisel Rivera-Molina, Hong Jiang +15 more

Sequence-to-expression approach to identify etiological non-coding DNA variations in P53 and cMYC-driven diseases

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.12.05.519089
N/A
0DataRank · unranked
0 citations

Shounak Bhogale, Lisha Zhu, Derrick Thomas, Jéssica Wildgrube Bertól, W. Jim Zheng +3 more

Sequence-to-expression approach to identify etiological non-coding DNA variations in P53 and cMYC-driven diseases

Research Square(2023)10.21203/rs.3.rs-3037310/v1
N/A
0DataRank · unranked
0 citations

Shounak Bhogale, Lisha Zhu, Derrick Thomas, Jéssica Wildgrube Bertól, W. Jim Zheng +3 more

Sequence-to-expression approach to identify etiological non-coding DNA variations in P53 and cMYC-driven diseases

Human Molecular Genetics(2024)10.1093/hmg/ddae109
N/A
0DataRank · unranked
1 citations

Shounak Bhogale, Lisha Zhu, Derrick Thomas, Jéssica Wildgrube Bertól, W. Jim Zheng +3 more

scPrediXcan integrates advances in deep learning and single-cell data into a powerful cell-type–specific transcriptome-wide association study framework

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.11.11.623049
N/A
0DataRank · unranked
1 citations

Temidayo Adeluwa, Lisha Zhu, Sofia Salazar, Sarah Sumner, Hyunki Kim +9 more

Virome assembly and annotation in brain tissue based on next‐generation sequencing

Cancer Medicine(2020)10.1002/cam4.3325
N/A
0DataRank · unranked
8 citations

Xiaohua Ye, Lisha Zhu, Ningyan Zhang, Zhiqiang An, W. Jim Zheng +1 more

scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study framework

Cell Genomics(2025)10.1016/j.xgen.2025.100875
N/A
0DataRank · unranked
6 citations

Temidayo Adeluwa, Lisha Zhu, Sofia Salazar-Magaña, Sarah Sumner, Hyunki Kim +9 more

Distinct Profiles of Specialized Pro-resolving Lipid Mediators and Corresponding Receptor Gene Expression in Periodontal Inflammation

Frontiers in Immunology(2020)10.3389/fimmu.2020.01307
N/A
0DataRank · unranked
42 citations

Nishantha R. Bokka, Krishna Rao Maddipati, Srinivas Ayilavarapu, Robin Weltman, Lisha Zhu +6 more

Transcriptomic and Epigenetic Profiling of Fibroblasts in Idiopathic Pulmonary Fibrosis

American Journal of Respiratory Cell and Molecular Biology(2021)10.1165/rcmb.2020-0437oc
N/A
0DataRank · unranked
35 citations

Lisha Zhu, Tinne C. J. Mertens, Scott Collum, Weizhen Bi, Feng Xiong +9 more