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

Jiande Wu

Hunan Normal University

ORCID: 0000-0002-9357-2977

Also affiliated with Louisiana State University Health Sciences Center New Orleans, Clemson University

Biochemistry, Genetics and Molecular BiologyMedicineEngineering

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

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “Delineation of the Germline and Somatic Mutation Interaction Landscape in Triple-Negative and Non-Triple-Negative Breast Cancer”.

Delineation of the Germline and Somatic Mutation Interaction Landscape in Triple-Negative and Non-Triple-Negative Breast Cancer

International Journal of Genomics(2020)10.1155/2020/2641370
N/A
0DataRank · unranked
1 citations

Tarun Karthik Kumar Mamidi, Lu Zhang, Chindo Hicks, Jiande Wu

Racial differences in the risk of second primary bladder cancer following radiation therapy among localized prostate cancer patients

Cancer Epidemiology(2021)10.1016/j.canep.2021.101967
N/A
0DataRank · unranked
2 citations

Mei‐Chin Hsieh, Claire Allison, A. Michael Devane, Chindo Hicks, Qingzhao Yu +4 more

A deep learning approach for enhancing pandemic prediction: A retrospective evaluation of transformer neural networks and multi-source data fusion for infectious disease forecasting

Epidemics(2025)10.1016/j.epidem.2025.100865
N/A
0DataRank · unranked
3 citations

Shakhawat Tanim, MinJae Woo, Tanvir Ahammed, Amanda Bleichrodt, Lior Rennert +1 more

Enhancing Pandemic Prediction: A Deep Learning Approach Using Transformer Neural Networks and Multi-Source Data Fusion for Infectious Disease Forecasting

medRxiv(2025)10.1101/2025.06.24.25330211
N/A
0DataRank · unranked
0 citations

Shakhawat Tanim, MinJae Woo, Tanvir Ahammed, Lior Rennert, Jiande Wu