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

Fan Zhu

University of Michigan

ORCID: 0009-0007-2339-9084

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 100%percentile
0Author 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 →

Papers

Driven by 5 papers. Top paper: “Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis”.

Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis

Nature Communications(2016)10.1038/ncomms12460
N/A
3.8DataRank · unranked
87 citations

Fan Zhu, Javier García-García, Eli Stahl, Abhishek Pratap, Gaurav Pandey +108 more

Increased Asics Expression via the Camkii-CREB Pathway in a Novel Mouse Model of Trigeminal Pain

Cellular Physiology and Biochemistry(2018)10.1159/000488624
N/A
0.786DataRank · unranked
30 citations

Xiujuan Fu, Lifang Huang, Xi Wang, Zuneng Lu, Fan Zhu +2 more

DeepITQA: Deep Based Image Text Quality Assessment

Lecture Notes in Computer Science(2018)10.1007/978-3-030-04224-0_34
N/A
0.104DataRank · unranked
1 citations

Fan Zhu, Junhua Qiu, Hongyu Li

Erratum: Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis

Nature Communications(2016)10.1038/ncomms13205
N/A
0DataRank · unranked
0 citations

Fan Zhu, Javier García-García, Eli Stahl, Abhishek Pratap, Gaurav Pandey +113 more

A comprehensive in silico and invitro analysis revealed the diagnostic, prognostic and therapeutic potential of GNAI family genes in colon adenocarcinoma (COAD)

Hereditas(2025)10.1186/s41065-025-00523-3
N/A
0DataRank · unranked
0 citations

Fan Zhu, Yingying Chen, Bei Wang