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

Sanjay Aneja

Yale New Haven Hospital

ORCID: 0000-0001-5681-7528

Also affiliated with Yale Cancer Center, Yale University

MedicinePhysics and AstronomyNeuroscience

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
1.5Author DataRank

Indexed papers

3in 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 3 indexed papers 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.

A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging information

Scientific Data(2024)10.1038/s41597-024-03021-9
Top 21%
0.980DataRank
Top 21%25 citations

Leon Jekel, Saahil Chadha, Anastasia Janas, Harrison Moy, Nazanin Maleki +17 more

Papers

Driven by 21 papers — median percentile 51. Top paper: “A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging information”.

A large open access dataset of brain metastasis 3D segmentations on MRI with clinical and imaging information

Scientific Data(2024)10.1038/s41597-024-03021-9
Top 21%
0.980DataRank
Top 21%25 citations

Leon Jekel, Saahil Chadha, Anastasia Janas, Harrison Moy, Nazanin Maleki +17 more

Screening for extranodal extension in HPV-associated oropharyngeal carcinoma: evaluation of a CT-based deep learning algorithm in patient data from a multicentre, randomised de-escalation trial

The Lancet Digital Health(2023)10.1016/s2589-7500(23)00046-8
N/A
0.648DataRank · unranked
74 citations

Jirapat Likitlersuang, Dennis Bontempi, Zezhong Ye, Sanjay Aneja, Richard L. Bakst +16 more

The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI

The Journal of Machine Learning for Biomedical Imaging(2025)10.59275/j.melba.2025-9bd3
Top 49%
0.361DataRank
Top 49%7 citations

Anastasia Janas, Ujjwal Baid, Divya Ramakrishnan, Rachit Saluja, Nader A. Fawzy +95 more

Comparison of Radiomic Feature Aggregation Methods for Patients with Multiple Tumors

The Medicine Forum(2020)10.1101/2020.11.04.20226159
N/A
0.269DataRank · unranked
5 citations

Marina Joel, Hannah Chang, Justin Du, Omaditya Khanna, Antonio Omuro +3 more

3D Capsule Networks for Brain Image Segmentation

medRxiv(2022)10.1101/2022.01.18.22269482
N/A
0.208DataRank · unranked
3 citations

Yongfeng Hui, Mariam Aboian, James S. Duncan, Harlan M. Krumholz, Sanjay Aneja +1 more

A Large Open Access Dataset of Brain Metastasis 3D Segmentations with Clinical and Imaging Feature Information

arXiv (Cornell University)(2023)10.48550/arxiv.2309.05053
Top 65%
0.195DataRank
Top 65%2 citations

Leon Jekel, Saahil Chadha, Anastasia Janas, Harrison Moy, Nazanin Maleki +17 more

Operational Ontology for Oncology (O3): A Professional Society-Based, Multistakeholder, Consensus-Driven Informatics Standard Supporting Clinical and Research Use of Real-World Data From Patients Treated for Cancer

International Journal of Radiation Oncology*Biology*Physics(2023)10.1016/j.ijrobp.2023.05.033
N/A
0DataRank · unranked
36 citations

Mary Feng, Kristy K. Brock, Randi Kudner, Peter Balter, Jeffrey C. Buchsbaum +48 more

Provider Engagement in Radiation Oncology Data Science: Workshop Report

JCO Clinical Cancer Informatics(2020)10.1200/cci.20.00051
N/A
0DataRank · unranked
4 citations

Sanjay Aneja, Clifton D. Fuller, Adam P. Dicker, Caroline Chung, Erika Kim +15 more

3D Capsule Networks for Brain Image Segmentation

American Journal of Neuroradiology(2023)10.3174/ajnr.a7845
N/A
0DataRank · unranked
13 citations

Yongfeng Hui, Mariam Aboian, James S. Duncan, Harlan M. Krumholz, Sanjay Aneja +1 more

Comparison of volumetric and 2D-based response methods in the PNOC-001 pediatric low-grade glioma clinical trial

Neuro-Oncology Advances(2023)10.1093/noajnl/vdad172
N/A
0DataRank · unranked
9 citations

Divya Ramakrishnan, Sarah C. Brüningk, Fatima Memon, Sandra Abi Fadel, Nazanin Maleki +18 more

Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction

American Journal of Neuroradiology(2023)10.3174/ajnr.a8000
N/A
0DataRank · unranked
7 citations

Leon Jekel, Marc von Reppert, Niklas Tillmanns, Sara Merkaj, Gabriel Cassinelli Petersen +19 more

Machine Learning Models for 3-Month Outcome Prediction Using Radiomics of Intracerebral Hemorrhage and Perihematomal Edema from Admission Head Computed Tomography (CT)

Diagnostics(2024)10.3390/diagnostics14242827
N/A
0DataRank · unranked
7 citations

J Sommer, Anh T. Tran, Huang Lin, Stefan P. Haider, Ilko Maier +11 more

A Hybrid Transformer-Convolutional Neural Network for Segmentation of Intracerebral Hemorrhage and Perihematomal Edema on Non-Contrast Head Computed Tomography (CT) with Uncertainty Quantification to Improve Confidence

Bioengineering(2024)10.3390/bioengineering11121274
N/A
0DataRank · unranked
5 citations

Dmitriy Desser, Tal Zeevi, Gaby Abou Karam, Fiona Dierksen, Andrea Dell’Orco +14 more

Comparison of Volumetric and 2D Measurements and Longitudinal Trajectories in the Response Assessment ofBRAFV600E-Mutant Pediatric Gliomas in the Pacific Pediatric Neuro-Oncology Consortium Clinical Trial

American Journal of Neuroradiology(2024)10.3174/ajnr.a8189
N/A
0DataRank · unranked
5 citations

Sarah C. Brüningk, Marc von Reppert, Fatima Memon, Nazanin Maleki, Sanjay Aneja +10 more

Enhancing clinical decision-making: An externally validated machine learning model for predicting isocitrate dehydrogenase mutation in gliomas using radiomics from presurgical magnetic resonance imaging

Neuro-Oncology Advances(2024)10.1093/noajnl/vdae157
N/A
0DataRank · unranked
5 citations

Nader A. Fawzy, Leon Jekel, Marc von Reppert, Niklas Tillmanns, Klara Willms +13 more

Developing Validated Tools to Identify Pulmonary Embolism in Electronic Databases: Rationale and Design of the PE-EHR+ Study

Thrombosis and Haemostasis(2023)10.1055/a-2039-3222
N/A
0DataRank · unranked
24 citations

Ying-Chih Lo, Candrika D. Khairani, Antoine Bejjani, David Jiménez, Frederikus A. Klok +19 more

Randomized phase II study of rituximab, methotrexate (MTX), procarbazine, vincristine, and cytarabine (R-MPV-A) with and without low-dose whole-brain radiotherapy (LD-WBRT) for newly diagnosed primary CNS lymphoma (PCNSL).

Journal of Clinical Oncology(2020)10.1200/jco.2020.38.15_suppl.2501
N/A
0DataRank · unranked
59 citations

Lisa M. DeAngelis, Theodore Karrison, Joe A Bovi, Marc K. Rosenblum, Benjamin W. Corn +16 more

Comparison of radiomic feature aggregation methods for patients with multiple tumors

Scientific Reports(2021)10.1038/s41598-021-89114-6
N/A
0DataRank · unranked
47 citations

Marina Z. Joel, Hannah Chang, Justin Du, Omaditya Khanna, Antonio Omuro +3 more

Artificial Intelligence in Breast Cancer Screening

JAMA Internal Medicine(2022)10.1001/jamainternmed.2022.4969
N/A
0DataRank · unranked
72 citations

Joseph S. Ross, Sanjay Aneja, Cary P. Gross, Ilana B. Richman, Kunal C. Potnis

Comparing 3D, 2.5D, and 2D Approaches to Brain Image Segmentation

medRxiv(2022)10.1101/2022.11.03.22281923
N/A
0DataRank · unranked
9 citations

Sajid Hossain, MingDe Lin, Mariam Aboian, Harlan M. Krumholz, Sanjay Aneja +1 more

Deep learning algorithm to predict pathologic complete response to neoadjuvant chemotherapy for breast cancer prior to treatment.

Journal of Clinical Oncology(2022)10.1200/jco.2022.40.16_suppl.600
N/A
0DataRank · unranked
0 citations

Marina Joel, Miles Hui, Sanjay Aneja, Rachel Choi