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

Akash Shah

Memorial Sloan Kettering Cancer Center

ORCID: 0000-0001-9211-8628

Also affiliated with National Medical Research Center of Dentistry and Maxillofacial Surgery

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 6%percentile
0.208Author 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.

Impact of artificial intelligence-based and traditional image preprocessing and resampling on MRI-based radiomics for classification of papillary thyroid carcinoma

BJR|Artificial Intelligence(2025)10.1093/bjrai/ubaf006
Top 65%
0.208DataRank
Top 65%3 citations

Ramesh Paudyal, Akash Shah, Nora Katabi, Vaios Hatzoglou, Binsheng Zhao +7 more

Papers

Driven by 10 papers — median percentile 35. Top paper: “Impact of artificial intelligence-based and traditional image preprocessing and resampling on MRI-based radiomics for classification of papillary thyroid carcinoma”.

Impact of artificial intelligence-based and traditional image preprocessing and resampling on MRI-based radiomics for classification of papillary thyroid carcinoma

BJR|Artificial Intelligence(2025)10.1093/bjrai/ubaf006
Top 65%
0.208DataRank
Top 65%3 citations

Ramesh Paudyal, Akash Shah, Nora Katabi, Vaios Hatzoglou, Binsheng Zhao +7 more

Correction of Gradient Nonlinearity Bias in Apparent Diffusion Coefficient Measurement for Head and Neck Cancers Using Single- and Multi-Shot Echo Planar Diffusion Imaging

Cancers(2025)10.3390/cancers17111796
N/A
0.104DataRank · unranked
1 citations

Alfonso Lema-Dopico, Akash Shah, Vaios Hatzoglou, Muhammad Awais, Eric Aliotta +7 more

Qualitative and Quantitative Performance of Magnetic Resonance Image Compilation (MAGiC) Method: An Exploratory Analysis for Head and Neck Imaging

Cancers(2022)10.3390/cancers14153624
N/A
0DataRank · unranked
23 citations

Ramesh Paudyal, Akash Shah, Maggie Fung, Suchandrima Banerjee, Abhay Dave +4 more

Quantitative Relaxometry Metrics for Brain Metastases Compared to Normal Tissues: A Pilot MR Fingerprinting Study

Cancers(2022)10.3390/cancers14225606
N/A
0DataRank · unranked
11 citations

Akash Shah, Ramesh Paudyal, Maggie Fung, Suchandrima Banerjee, Abhay Dave +3 more

Quantitative Synthetic Magnetic Resonance Imaging for Brain Metastases: A Feasibility Study

Cancers(2022)10.3390/cancers14112651
N/A
0DataRank · unranked
15 citations

Akash Shah, Ramesh Paudyal, Maggie Fung, Suchandrima Banerjee, Abhay Dave +3 more

Computational Modeling of Interstitial Fluid Pressure and Velocity in Non-small Cell Lung Cancer Brain Metastases Treated With Stereotactic Radiosurgery

Frontiers in Neurology(2020)10.3389/fneur.2020.00402
N/A
0DataRank · unranked
19 citations

Eve LoCastro, Ramesh Paudyal, Jung Hun Oh, Neil K. Taunk, Akash Shah +7 more

Fast, light, and scalable: harnessing data-mined line annotations for automated tumor segmentation on brain MRI

European Radiology(2023)10.1007/s00330-023-09583-3
N/A
0DataRank · unranked
2 citations

Vivek Yadav, Krishna Nand Keshava Murthy, Pierre Elnajjar, Hao-Hsin Shih, Prashanth Kumar Panyam +39 more

Evolutionary Strategies Enable Systematic and Reliable Uncertainty Quantification: A Proof-of-Concept Pilot Study on Resting-State Functional MRI Language Lateralization

Journal of Imaging Informatics in Medicine(2024)10.1007/s10278-024-01188-6
N/A
0DataRank · unranked
1 citations

Katharine A. Dishner, Mehrnaz Jenabi, Luca Pasquini, Kyung K. Peck, Atin Saha +9 more

Artificial Intelligence in CT and MR Imaging for Oncological Applications

Cancers(2023)10.3390/cancers15092573
N/A
0DataRank · unranked
103 citations

Akash Shah, Oğuz Akın, Richard Kinh Gian, Amaresha Shridhar Konar, Vaios Hatzoglou +8 more

Primary tumor volume as a predictor of distant metastases and survival in patients with sinonasal mucosal melanoma

Head & Neck(2020)10.1002/hed.26380
N/A
0DataRank · unranked
13 citations

Shivangi Lohia, Christopher A. Barker, Jennifer R. Cracchiolo, Ian Ganly, Snehal G. Patel +7 more