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

Kai Zhang

University of Science and Technology of China

ORCID: 0000-0003-3454-7357

Also affiliated with Peking University, Westlake University, University of California San Diego, Peking University People's Hospital, Beijing Children’s Hospital, Zhejiang University

Biochemistry, Genetics and Molecular Biology

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 1%percentile
34.2Author DataRank

Indexed papers

5in 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 5 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.

Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017

The Lancet(2018)10.1016/s0140-6736(18)32203-7
Top 1%
10.7DataRank
Top 1%8706 citations

Degu Abate, Kalkidan Hassen Abate, Solomon M Abay, Cristiana Abbafati, Nooshin Abbasi +1153 more

Papers

Driven by 17 papers — median percentile 97. Top paper: “Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017”.

Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: a systematic analysis for the Global Burden of Disease Study 2017

The Lancet(2018)10.1016/s0140-6736(18)32203-7
Top 1%
10.7DataRank
Top 1%8706 citations

Degu Abate, Kalkidan Hassen Abate, Solomon M Abay, Cristiana Abbafati, Nooshin Abbasi +1153 more

Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

The Lancet(2018)10.1016/s0140-6736(18)32279-7
Top 1%
10.4DataRank
Top 1%14117 citations

Degu Abate, Kalkidan Hassen Abate, Solomon M Abay, Cristiana Abbafati, Nooshin Abbasi +1094 more

Expanded encyclopaedias of DNA elements in the human and mouse genomes

Nature(2020)10.1038/s41586-020-2493-4
Top 3%
6.4DataRank
Top 3%2615 citations

Federico Abascal, Reyes Acosta, Nicholas J. Addleman, Jessika Adrian, Veena Afzal +501 more

A single-cell atlas of chromatin accessibility in the human genome

Cell(2021)10.1016/j.cell.2021.10.024
Top 4%
4.8DataRank
Top 4%533 citations

James D. Hocker, Michael Miller, Xiaomeng Hou, Joshua Chiou, Olivier Poirion +7 more

An atlas of gene regulatory elements in adult mouse cerebrum

Nature(2021)10.1038/s41586-021-03604-1
N/A
4.3DataRank · unranked
209 citations

Sebastian Preissl, Xiaomeng Hou, Ziyang Zhang, Kai Zhang, Yunjiang Qiu +23 more

Single-cell analysis of chromatin accessibility in the adult mouse brain

Nature(2023)10.1038/s41586-023-06824-9
Top 11%
1.9DataRank
Top 11%98 citations

Yang Eric Li, Kangli Wang, Ethan J. Armand, Sainath Mamde, Maria Luisa Amaral +32 more

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

IEEE Transactions on Image Processing(2017)10.1109/tip.2017.2662206
N/A
1.4DataRank · unranked
8663 citations

Wangmeng Zuo, Yunjin Chen, Deyu Meng, Lei Zhang, Kai Zhang

Comprehensive analysis of single cell ATAC-seq data with SnapATAC

Nature Communications(2021)10.1038/s41467-021-21583-9
N/A
0.930DataRank · unranked
491 citations

Sebastian Preissl, Yang Li, Xiaomeng Hou, Jacinta D. Lucero, Xinxin Wang +11 more

Integrated analysis of single-cell chromatin state and transcriptome identified common vulnerability despite glioblastoma heterogeneity

Proceedings of the National Academy of Sciences(2023)10.1073/pnas.2210991120
N/A
0.788DataRank · unranked
28 citations

Anugraha Raman, Sebastian Preissl, Jianfang Ning, Shaoping Wu, Tomoyuki Koga +22 more

A fast, scalable and versatile tool for analysis of single-cell omics data

Nature Methods(2024)10.1038/s41592-023-02139-9
N/A
0.771DataRank · unranked
170 citations

Nathan R. Zemke, Ethan J. Armand, Bing Ren, Kai Zhang

An Atlas of Gene Regulatory Elements in Adult Mouse Cerebrum

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.05.10.087585
N/A
0.505DataRank · unranked
28 citations

Sebastian Preissl, Xiaomeng Hou, Ziyang Zhang, Kai Zhang, Rongxin Fang +16 more

Evaluating methods for the prediction of cell-type-specific enhancers in the mammalian cortex

Cell Genomics(2025)10.1016/j.xgen.2025.100879
N/A
0.425DataRank · unranked
16 citations

Niklas Kempynck, Nathan R. Zemke, Saroja Somasundaram, Seppe De Winter, Marcus Hooper +29 more

Evaluating Methods for the Prediction of Cell Type-Specific Enhancers in the Mammalian Cortex

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.08.21.609075
N/A
0.241DataRank · unranked
4 citations

Niklas Kempynck, Nathan R. Zemke, Saroja Somasundaram, Seppe De Winter, Marcus Hooper +29 more

Interpretable surface-based detection of focal cortical dysplasias: a MELD study

medRxiv(2021)10.1101/2021.12.13.21267721
N/A
0.208DataRank · unranked
3 citations

Mathilde Ripart, Kirstie Whitaker, Antonio Napolitano, Luca De Palma, Alessandro De Benedictis +89 more

Systematic discovery and functional dissection of enhancers needed for cancer cell fitness and proliferation

Cell Reports(2022)10.1016/j.celrep.2022.111630
N/A
0DataRank · unranked
39 citations

Patrick C. Fiaux, Kai Zhang, Bin Li, Naoki Kubo, Shan Jiang +9 more

Cardiac cell type–specific gene regulatory programs and disease risk association

Science Advances(2021)10.1126/sciadv.abf1444
N/A
0DataRank · unranked
146 citations

Olivier Poirion, Fugui Zhu, Justin Buchanan, Kai Zhang, Joshua Chiou +13 more

Sensory Input, Sex, and Function Shape Hypothalamic Cell Type Development

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.01.23.576835
N/A
0DataRank · unranked
10 citations

Brandon L. Logeman, Kai Zhang, Celine Santiago, Noor Sohail, Serhiy Naumenko +5 more