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

Mahmoud A. Abdalah

Moffitt Cancer Center

ORCID: 0000-0002-0573-4121
MedicinePhysics and AstronomyBiochemistry, Genetics and Molecular Biology

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

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

Radiology(2020)10.1148/radiol.2020191145
N/A
1.2DataRank · unranked
3690 citations

Martin Vallières, Mahmoud A. Abdalah, Hugo J.W.L. Aerts, Vincent Andrearczyk, Aditya Apte +58 more

Presurgical Upgrade Prediction of DCIS to Invasive Ductal Carcinoma Using Time-dependent Deep Learning Models with DCE MRI

Radiology Artificial Intelligence(2024)10.1148/ryai.230348
N/A
0DataRank · unranked
8 citations

Dana Ataya, Mahmoud A. Abdalah, Olya Stringfield, Marilyn M. Bui, Natarajan Raghunand +3 more

Prediction of radiologic outcome-optimized dose plans and post-treatment magnetic resonance images: A proof-of-concept study in breast cancer brain metastases treated with stereotactic radiosurgery

Physics and Imaging in Radiation Oncology(2024)10.1016/j.phro.2024.100602
N/A
0DataRank · unranked
3 citations

Tuğçe Kütük, Mahmoud A. Abdalah, Olya Stringfield, Harshan Ravi, Matthew N. Mills +6 more

Interactions between Ploidy and Resource Availability Shape Clonal Evolution in Glioblastoma

Cancer Research(2025)10.1158/0008-5472.can-24-0401
N/A
0DataRank · unranked
1 citations

Frederika Rentzeperis, Vural Tagal, Jamie K. Teer, Didem Ilter, Richard J. Beck +23 more

Grading of lung adenocarcinomas with simultaneous segmentation by artificial intelligence (GLASS-AI)

npj Precision Oncology(2023)10.1038/s41698-023-00419-3
N/A
0DataRank · unranked
12 citations

Hayley D. Ackerman, Kyubum Lee, Mahmoud A. Abdalah, Andrew John Davis, Nicole Hackel +10 more

Targeting hypoxic habitats with hypoxia pro-drug evofosfamide in preclinical models of sarcoma

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.10.06.326934
N/A
0DataRank · unranked
1 citations

Wei Mu, Su-Ning Huang, Michal R. Tomaszewski, Jan Poleszczuk, Mahmoud A. Abdalah +8 more