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

Michelle Hershman

RTOG Foundation

ORCID: 0000-0003-1075-1863

Also affiliated with California University of Pennsylvania, Radiology Associates, University of Pennsylvania

MedicineComputer Science

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
6.4Author 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.

The RSNA International COVID-19 Open Radiology Database (RICORD)

Radiology(2021)10.1148/radiol.2021203957
Top 3%
6.4DataRank
Top 3%139 citations

Scott Simpson, Matthew P. Lungren, Michelle Hershman, Leonid Roshkovan, Errol Colak +18 more

Papers

Driven by 6 papers — median percentile 97. Top paper: “The RSNA International COVID-19 Open Radiology Database (RICORD)”.

The RSNA International COVID-19 Open Radiology Database (RICORD)

Radiology(2021)10.1148/radiol.2021203957
Top 3%
6.4DataRank
Top 3%139 citations

Scott Simpson, Matthew P. Lungren, Michelle Hershman, Leonid Roshkovan, Errol Colak +18 more

Impact of Interobserver Variability in Manual Segmentation of Non-Small Cell Lung Cancer (NSCLC) Applying Low-Rank Radiomic Representation on Computed Tomography

Cancers(2021)10.3390/cancers13235985
N/A
0DataRank · unranked
21 citations

Bardia Yousefi, Lacey Serletti, Maya Galperin-Aizenberg, Leonid Roshkovan, José Marcio Luna +6 more

Interactive Machine Learning-Based Multi-Label Segmentation of Solid Tumors and Organs

Applied Sciences(2021)10.3390/app11167488
N/A
0DataRank · unranked
6 citations

Ashish Singh, Spyridon Bakas, Sarthak Pati, Saima Rathore, Hamed Akbari +18 more

Development of a robust radiomic biomarker of progression-free survival in advanced non-small cell lung cancer patients treated with first-line immunotherapy

Scientific Reports(2022)10.1038/s41598-022-14160-7
N/A
0DataRank · unranked
24 citations

Hannah Horng, Leonid Roshkovan, Joanna K. Weeks, Michelle Hershman, Peter B. Noël +11 more

Radiomic Phenotypes for Improving Early Prediction of Survival in Stage III Non-Small Cell Lung Cancer Adenocarcinoma after Chemoradiation

Cancers(2022)10.3390/cancers14030700
N/A
0DataRank · unranked
14 citations

Andrew R. Barsky, Russell T. Shinohara, Leonid Roshkovan, Michelle Hershman, Alexandra Dreyfuss +8 more

Development of a prognostic multiomic biomarker of progression-free survival in advanced non-small cell lung cancer patients treated with first line immunotherapy

Scientific Reports(2025)10.1038/s41598-025-18101-y
N/A
0DataRank · unranked
2 citations

Hannah Horng, Leonid Roshkovan, Michelle Hershman, Eric A. Cohen, Charu Aggarwal +4 more