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

Yoganand Balagurunathan

Moffitt Cancer Center

ORCID: 0000-0002-5598-4727
MedicineBiochemistry, Genetics and Molecular BiologyEngineering

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 2%percentile
2.4Author 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.

Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets

Tomography(2020)10.18383/j.tom.2019.00031
Top 9%
2.4DataRank
Top 9%75 citations

Sandy Napel, Arjun Jaggi, Sarah A. Mattonen, Lubomir M. Hadjiiski, Mark Muzi +24 more

Papers

Driven by 7 papers — median percentile 91. Top paper: “Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets”.

Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets

Tomography(2020)10.18383/j.tom.2019.00031
Top 9%
2.4DataRank
Top 9%75 citations

Sandy Napel, Arjun Jaggi, Sarah A. Mattonen, Lubomir M. Hadjiiski, Mark Muzi +24 more

Repeatability of Quantitative Imaging Features in Prostate Magnetic Resonance Imaging

Frontiers in Oncology(2020)10.3389/fonc.2020.00551
N/A
0.406DataRank · unranked
14 citations

Nestor A. Parra, Qi Jin, Kenneth L. Gage, Qian Li, Shuxuan Fan +6 more

Multiphase computed tomography radiomics of pancreatic intraductal papillary mucinous neoplasms to predict malignancy

World Journal of Gastroenterology(2020)10.3748/wjg.v26.i24.3458
N/A
0DataRank · unranked
48 citations

Jung Woo Choi, Melissa McGettigan, Trevor Rose, Abraham Ahmed, Jongphil Kim +8 more

A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets

Nature Machine Intelligence(2020)10.1038/s42256-020-0173-6
N/A
0DataRank · unranked
102 citations

Mu Zhou, Edward Lee, Anne Schicht, Yoganand Balagurunathan, Sandy Napel +6 more

Requirements and reliability of AI in the medical context

Physica Medica(2021)10.1016/j.ejmp.2021.02.024
N/A
0DataRank · unranked
90 citations

Ross Mitchell, Issam El Naqa, Yoganand Balagurunathan

Noise-Based Image Harmonization Significantly Increases Repeatability and Reproducibility of Radiomics Features in PET Images: A Phantom Study

Tomography(2022)10.3390/tomography8020091
N/A
0DataRank · unranked
19 citations

Tina Shek, Brandon Driscoll, Yiwen Xu, Brian Nghiem, Sadek A. Nehmeh +12 more

5hmC-profiles in Puerto Rican Hispanic/Latino men with aggressive prostate cancer

Frontiers in Oncology(2025)10.3389/fonc.2025.1541878
N/A
0DataRank · unranked
1 citations

Mousa Almubarak, Jaime Matta, Carmen Ortíz, Jarline Encarnación-Medina, Gilberto Ruiz-Deyá +10 more