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

Niha Beig

ORCID: 0000-0002-1150-5886
Medicine

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
1.6Author DataRank

Indexed papers

1in 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 1 indexed paper 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.

Reproducibility analysis of multi‐institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset

Medical Physics(2020)10.1002/mp.14556
Top 13%
1.6DataRank
Top 13%43 citations

Ruchika Verma, Hamed Akbari, Michel Bilello, Virginia Hill, Chiharu Sako +11 more

Papers

Driven by 7 papers — median percentile 87. Top paper: “Reproducibility analysis of multi‐institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset”.

Reproducibility analysis of multi‐institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset

Medical Physics(2020)10.1002/mp.14556
Top 13%
1.6DataRank
Top 13%43 citations

Ruchika Verma, Hamed Akbari, Michel Bilello, Virginia Hill, Chiharu Sako +11 more

A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study

The Lancet Digital Health(2020)10.1016/s2589-7500(20)30225-9
N/A
0DataRank · unranked
81 citations

Kaustav Bera, Xiangxue Wang, Prateek Prasanna, Jun Xu, Andrew Janowczyk +12 more

Sexually dimorphic radiogenomic models identify distinct imaging and biological pathways that are prognostic of overall survival in glioblastoma

Neuro-Oncology(2020)10.1093/neuonc/noaa231
N/A
0DataRank · unranked
41 citations

Salendra Singh, Kaustav Bera, Prateek Prasanna, Gagandeep Singh, Jonathan Chen +10 more

CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction

The Lancet Digital Health(2020)10.1016/s2589-7500(20)30002-9
N/A
0DataRank · unranked
133 citations

Kaustav Bera, Amit Gupta, Xiangxue Wang, Germán Corredor, Pingfu Fu +11 more

Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome

npj Precision Oncology(2022)10.1038/s41698-022-00277-5
N/A
0DataRank · unranked
49 citations

Prateek Prasanna, Germán Corredor, Cristian Barrera, Philipp Zens, Cheng Lu +14 more

Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma

IEEE Transactions on Medical Imaging(2022)10.1109/tmi.2022.3148780
N/A
0DataRank · unranked
24 citations

Prateek Prasanna, Kaustav Bera, Volodymyr Statsevych, Virginia Hill, Gagandeep Singh +8 more

Histopathology based AI model predicts anti-angiogenic therapy response in renal cancer clinical trial

Nature Communications(2025)10.1038/s41467-025-57717-6
N/A
0DataRank · unranked
31 citations

Hua Zhong, Vandana Panwar, Vipul Jarmale, Jeffrey Miyata, Deyssy Carrillo +10 more