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

Debanjan Haldar

Thomas Jefferson University Hospital

ORCID: 0000-0002-5061-0953

Also affiliated with Neurological Surgery

MedicineNeuroscience

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 5%percentile
0.413Author DataRank

Indexed papers

2in 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 2 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 multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network

PubMed(2023)10.48550/arxiv.2310.01413
Top 45%
0.413DataRank
Top 45%6 citations

Anahita Fathi Kazerooni, Hannah Anderson, Aliaksandr Lubneuski, Karthik Viswanathan, Rocky Breslow +35 more

Papers

Driven by 9 papers — median percentile 55. Top paper: “Automated tumor segmentation and brain tissue extraction from multiparametric MRI of pediatric brain tumors: A multi-institutional study”.

Automated tumor segmentation and brain tissue extraction from multiparametric MRI of pediatric brain tumors: A multi-institutional study

Neuro-Oncology Advances(2023)10.1093/noajnl/vdad027
N/A
1.6DataRank · unranked
50 citations

Sherjeel Arif, Rachel Madhogarhia, Nastaran Khalili, Debanjan Haldar, Sina Bagheri +18 more

Radiomics for characterization of the glioma immune microenvironment

npj Precision Oncology(2023)10.1038/s41698-023-00413-9
N/A
0.578DataRank · unranked
46 citations

Anahita Fathi Kazerooni, Ariana Familiar, Debanjan Haldar, Adam A. Kraya, Jessica Foster +5 more

Multiparametric MRI along with machine learning predicts prognosis and treatment response in pediatric low-grade glioma

Nature Communications(2025)10.1038/s41467-024-55659-z
N/A
0.434DataRank · unranked
17 citations

Adam A. Kraya, Komal S. Rathi, Meen Chul Kim, Arastoo Vossough, Nastaran Khalili +27 more

A multi-institutional pediatric dataset of clinical radiology MRIs by the Children's Brain Tumor Network

PubMed(2023)10.48550/arxiv.2310.01413
Top 45%
0.413DataRank
Top 45%6 citations

Anahita Fathi Kazerooni, Hannah Anderson, Aliaksandr Lubneuski, Karthik Viswanathan, Rocky Breslow +35 more

Statistical plots in oncologic imaging, a primer for neuroradiologists

The Neuroradiology Journal(2024)10.1177/19714009231193158
N/A
0.165DataRank · unranked
2 citations

Mohammad Taghvaei, Ariana Familiar, Debanjan Haldar, Alireza Zandifar, Nastaran Khalili +3 more

Automated Tumor Segmentation and Brain Tissue Extraction from Multiparametric MRI of Pediatric Brain Tumors: A Multi-Institutional Study

medRxiv(2023)10.1101/2023.01.02.22284037
N/A
0DataRank · unranked
16 citations

Sherjeel Arif, Rachel Madhogarhia, Nastaran Khalili, Debanjan Haldar, Sina Bagheri +18 more

Unsupervised machine learning using K-means identifies radiomic subgroups of pediatric low-grade gliomas that correlate with key molecular markers

Neoplasia(2022)10.1016/j.neo.2022.100869
N/A
0DataRank · unranked
37 citations

Anahita Fathi Kazerooni, Sherjeel Arif, Ariana Familiar, Rachel Madhogarhia, Nastaran Khalili +13 more

Radiomics and radiogenomics in pediatric neuro-oncology: A review

Neuro-Oncology Advances(2022)10.1093/noajnl/vdac083
N/A
0DataRank · unranked
45 citations

Debanjan Haldar, Sina Bagheri, Ariana Familiar, Hannah Anderson, Sherjeel Arif +7 more

Towards consistency in pediatric brain tumor measurements: Challenges, solutions, and the role of artificial intelligence-based segmentation

Neuro-Oncology(2024)10.1093/neuonc/noae093
N/A
0DataRank · unranked
25 citations

Anahita Fathi Kazerooni, Arastoo Vossough, Jeffrey B. Ware, Sina Bagheri, Nastaran Khalili +16 more