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

Allan C. Halpern

Memorial Sloan Kettering Cancer Center

ORCID: 0000-0001-7320-1901
MedicineComputer Science

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 1%percentile
9.4Author DataRank

Indexed papers

4in 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 4 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.

BCN20000: Dermoscopic Lesions in the Wild

Scientific Data(2024)10.1038/s41597-024-03387-w
Top 3%
6.0DataRank
Top 3%179 citations

Marc Combalia, Sebastián Podlipnik, Noel Codella, Veronica Rotemberg, Allan C. Halpern +8 more

Papers

Driven by 28 papers — median percentile 85. Top paper: “BCN20000: Dermoscopic Lesions in the Wild”.

BCN20000: Dermoscopic Lesions in the Wild

Scientific Data(2024)10.1038/s41597-024-03387-w
Top 3%
6.0DataRank
Top 3%179 citations

Marc Combalia, Sebastián Podlipnik, Noel Codella, Veronica Rotemberg, Allan C. Halpern +8 more

A patient-centric dataset of images and metadata for identifying melanomas using clinical context

Scientific Data(2021)10.1038/s41597-021-00815-z
Top 10%
2.1DataRank
Top 10%41 citations

Nicholas R. Kurtansky, Brigid Betz‐Stablein, Liam J Caffery, Emmanouil Chousakos, Noel Codella +20 more

The SLICE-3D dataset: 400,000 skin lesion image crops extracted from 3D TBP for skin cancer detection

Scientific Data(2024)10.1038/s41597-024-03743-w
Top 19%
1.0DataRank
Top 19%42 citations

B D'Alessandro, Maura C. Gillis, Brigid Betz‐Stablein, Sara E. Cerminara, Rafael Pérez García +29 more

Expert Agreement on the Presence and Spatial Localization of Melanocytic Features in Dermoscopy

Journal of Investigative Dermatology(2023)10.1016/j.jid.2023.01.045
N/A
0.345DataRank · unranked
9 citations

Cristián Navarrete‐Dechent, Michael A. Marchetti, Veronica Rotemberg, Zoé Apalla, Giuseppe Argenziano +36 more

International Skin Imaging Collaboration‐Designated Diagnoses (ISIC‐DX): Consensus terminology for lesion diagnostic labeling

Journal of the European Academy of Dermatology and Venereology(2024)10.1111/jdv.20055
Top 55%
0.298DataRank
Top 55%4 citations

Konstantinos Liopyris, Jochen Weber, Raymond L. Barnhill, Ralph P. Braun, Clara Curiel‐Lewandrowski +17 more

Dermatology patient perspectives regarding consent, privacy, security, and identifiability of clinical photography at a tertiary cancer center: A qualitative study

JAAD International(2023)10.1016/j.jdin.2023.05.010
N/A
0.208DataRank · unranked
3 citations

Mary Sun, Lilly Gu, Trina Salvador, Liliane Sar-Graycar, Jennifer L. Hay +5 more

In vivo tumor immune microenvironment phenotypes correlate with inflammation and vasculature to predict immunotherapy response

Nature Communications(2022)10.1038/s41467-022-32738-7
N/A
0DataRank · unranked
58 citations

Kıvanç Köse, Lukas Kraehenbuehl, Candice Byers, Aliya Holland, Teguru Tembo +30 more

The long‐term evolution of melanocytic nevi among high‐risk adults

Journal of the European Academy of Dermatology and Venereology(2022)10.1111/jdv.18470
N/A
0DataRank · unranked
12 citations

Nicholas R. Kurtansky, Shenara Musthaq, Stephen W. Dusza, Allan C. Halpern, Michael A. Marchetti +4 more

A reinforcement learning model for AI-based decision support in skin cancer

Nature Medicine(2023)10.1038/s41591-023-02475-5
N/A
0DataRank · unranked
100 citations

Veronica Rotemberg, Noel Codella, Philipp Tschandl, Claus Rinner, Bengü Nisa Akay +12 more

Prospective validation of dermoscopy-based open-source artificial intelligence for melanoma diagnosis (PROVE-AI study)

npj Digital Medicine(2023)10.1038/s41746-023-00872-1
N/A
0DataRank · unranked
74 citations

Emily A. Cowen, Nicholas R. Kurtansky, Jochen Weber, Megan Dauscher, Jennifer DeFazio +11 more

Improving Artificial Intelligence−Based Diagnosis on Pediatric Skin Lesions

Journal of Investigative Dermatology(2023)10.1016/j.jid.2022.08.058
N/A
0DataRank · unranked
10 citations

Mary Sun, Brigid Betz‐Stablein, Allan C. Halpern, H. Peter Soyer, Jochen Weber +3 more

Continuing Medical Education-accredited reflectance confocal microscopy course in the USA and its impact on learning and clinical integration: report from a single centre

Clinical and Experimental Dermatology(2023)10.1093/ced/llad422
N/A
0DataRank · unranked
6 citations

Milind Rajadhyaksha, Ashfaq A. Marghoob, Kishwer S. Nehal, Allan C. Halpern, Anthony Rossi +2 more

Melanoma screening and public education for minority populations in the United States

Journal of the American Academy of Dermatology(2023)10.1016/j.jaad.2023.08.078
N/A
0DataRank · unranked
3 citations

Stephen W. Dusza, Ashfaq A. Marghoob, Allan C. Halpern, Collin M. Costello

Effect of patient‐contextual skin images in human‐ and artificial intelligence‐based diagnosis of melanoma: Results from the 2020 SIIM‐ISIC melanoma classification challenge

Journal of the European Academy of Dermatology and Venereology(2024)10.1111/jdv.20479
N/A
0DataRank · unranked
7 citations

Clare Primiero, Brigid Betz‐Stablein, Marc Combalia, Pascale Guitera, Allan C. Halpern +10 more

Baseline dermoscopic patterns predict long‐term changes in nevus diameter and in dermoscopic features

Journal of the European Academy of Dermatology and Venereology(2024)10.1111/jdv.20503
N/A
0DataRank · unranked
0 citations

Tomer Mimouni, Alon Scope, Nicholas R. Kurtansky, Larissa M Pastore, Allan C. Halpern +2 more

Evaluating skin tone scales for dermatologic dataset labeling: a prospective-comparative study

npj Digital Medicine(2025)10.1038/s41746-025-02245-2
N/A
0DataRank · unranked
4 citations

Yingjoy Li, Maura C. Gillis, Nicholas R. Kurtansky, Trina Salvador, Allan C. Halpern +4 more

Improving dataset transparency in dermatologic Artificial Intelligence using a dataset nutrition label

npj Digital Medicine(2025)10.1038/s41746-025-02125-9
N/A
0DataRank · unranked
2 citations

Matthew Taylor, Kasia S. Chmielinski, Allan C. Halpern, Roxana Daneshjou, Jenna Lester +2 more

Automated triage of cancer-suspicious skin lesions with 3D total-body photography

npj Digital Medicine(2025)10.1038/s41746-025-02070-7
N/A
0DataRank · unranked
2 citations

Maura C. Gillis, Noel Codella, B D'Alessandro, Zongyuan Ge, Pascale Guitera +17 more

Noninvasive Diagnosis of Melanoma Using Machine Learning and Reflectance Confocal Microscopy

Journal of Investigative Dermatology(2025)10.1016/j.jid.2025.05.019
N/A
0DataRank · unranked
3 citations

Nicholas R. Kurtansky, Manu Jain, Miguel Córdova, Jochen Weber, Ucalene Harris +6 more

Cutaneous Melanoma Risk Assessment among Individuals with a High-Risk Nevus Phenotype

Journal of Investigative Dermatology(2025)10.1016/j.jid.2025.04.028
N/A
0DataRank · unranked
0 citations

Stephen W. Dusza, Jonathan Kentley, Michael A. Marchetti, Nicholas R. Kurtansky, Shirin Bajaj +5 more

Sex Differences in Nevus Count, Size, and Distribution: Insights From Automated 3D Total Body Surface Imaging

JEADV Clinical Practice(2025)10.1002/jvc2.70141
N/A
0DataRank · unranked
0 citations

Stephen W. Dusza, Jonathan Kentley, Shirin Bajaj, Nicholas R. Kurtansky, Michael A. Marchetti +3 more

Number needed to biopsy ratio and diagnostic accuracy for melanoma detection

Journal of the American Academy of Dermatology(2020)10.1016/j.jaad.2020.04.109
N/A
0DataRank · unranked
21 citations

Ashley Yu, Japbani Nanda, Philipp Tschandl, Harald Kittler, Ashfaq A. Marghoob +3 more

Photographic Quantification of Actinic Keratoses Using Human- and Artificial Intelligence-Based Assessment: A Pilot Study

Journal of Investigative Dermatology(2025)10.1016/j.jid.2025.08.015
N/A
0DataRank · unranked
0 citations

Viviane Liao, Ian Nykaza, Michael Ong, Kıvanç Köse, Nicholas R. Kurtansky +4 more

Deep Learning for Basal Cell Carcinoma Detection for Reflectance Confocal Microscopy

Journal of Investigative Dermatology(2021)10.1016/j.jid.2021.06.015
N/A
0DataRank · unranked
65 citations

Cristián Navarrete‐Dechent, Konstantinos Liopyris, Jilliana Monnier, Saud Aleissa, Brahmteg Minhas +9 more

Combined PARP1-Targeted Nuclear Contrast and Reflectance Contrast Enhance Confocal Microscopic Detection of Basal Cell Carcinoma

Journal of Nuclear Medicine(2021)10.2967/jnumed.121.262600
N/A
0DataRank · unranked
10 citations

José F. Cordero, Xiancheng Wu, Susanne Kossatz, Ucalene Harris, Paula Demetrio Desouza Franca +21 more

Patterns of the use of reflectance confocal microscopy at a tertiary referral dermatology clinic

Journal of the American Academy of Dermatology(2021)10.1016/j.jaad.2021.11.054
N/A
0DataRank · unranked
3 citations

Yuna Oh, Miguel Córdova, Chih-Shan Chen, Allan C. Halpern, Ucalene Harris +16 more

Cellular-level phenotyping of tumor-immune microenvironment (TiME) in patients in vivo reveals distinct inflammation and endothelial anergy signatures

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.06.10.447835
N/A
0DataRank · unranked
0 citations

Teguru Tembo, Kıvanç Köse, Anthony Santella, Anabel Alfonso, Madison Li +26 more

Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge

The Lancet Digital Health(2022)10.1016/s2589-7500(22)00021-8
N/A
0DataRank · unranked
121 citations

Noel Codella, Veronica Rotemberg, Cristina Carrera, Stephen W. Dusza, David A. Gutman +13 more