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

Peter Gibbs

Memorial Sloan Kettering Cancer Center

ORCID: 0000-0002-5754-7352

Also affiliated with The University of Melbourne, Walter and Eliza Hall Institute of Medical Research, Western Health

MedicineBiochemistry, 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 3%percentile
1.6Author 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.

Multiparametric 18F-FDG PET/MRI-Based Radiomics for Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer

Cancers(2022)10.3390/cancers14071727
Top 13%
1.6DataRank
Top 13%47 citations

Julian Kirchner, Nils Martin Bruckmann, Janna Morawitz, Gerald Antoch, Saskia Ting +14 more

Papers

Driven by 16 papers — median percentile 87. Top paper: “Multiparametric 18F-FDG PET/MRI-Based Radiomics for Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer”.

Multiparametric 18F-FDG PET/MRI-Based Radiomics for Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer

Cancers(2022)10.3390/cancers14071727
Top 13%
1.6DataRank
Top 13%47 citations

Julian Kirchner, Nils Martin Bruckmann, Janna Morawitz, Gerald Antoch, Saskia Ting +14 more

Ultrafast dynamic contrast-enhanced breast MRI may generate prognostic imaging markers of breast cancer

Breast Cancer Research(2020)10.1186/s13058-020-01292-9
N/A
0DataRank · unranked
75 citations

Meredith Sadinski, Mary Hughes, Eun Sook Ko, Peter Gibbs, Katherine Gallagher +7 more

[18F]FDG-PET/CT Radiomics for Prediction of Bone Marrow Involvement in Mantle Cell Lymphoma: A Retrospective Study in 97 Patients

Cancers(2020)10.3390/cancers12051138
N/A
0DataRank · unranked
38 citations

Christopher C. Riedl, Anita Kumar, Ahmet Doǧan, Peter Gibbs, Michael Weber +4 more

Improved characterization of sub-centimeter enhancing breast masses on MRI with radiomics and machine learning in BRCA mutation carriers

European Radiology(2020)10.1007/s00330-020-06991-7
N/A
0DataRank · unranked
40 citations

Isaac Daimiel Naranjo, Carolina Rossi Saccarelli, Almir Galvão Vieira Bitencourt, Peter Gibbs, Michael J. Fox +6 more

Radiomics and Machine Learning with Multiparametric Breast MRI for Improved Diagnostic Accuracy in Breast Cancer Diagnosis

Diagnostics(2021)10.3390/diagnostics11060919
N/A
0DataRank · unranked
74 citations

Peter Gibbs, Jeffrey S. Reiner, Roberto Lo Gullo, Caleb Sooknanan, Sunitha B. Thakur +7 more

AI-enhanced simultaneous multiparametric 18F-FDG PET/MRI for accurate breast cancer diagnosis

European Journal of Nuclear Medicine and Molecular Imaging(2021)10.1007/s00259-021-05492-z
N/A
0DataRank · unranked
61 citations

Paola Clauser, Sazan Rasul, Panagiotis Kapetas, Peter Gibbs, Pascal Baltzer +5 more

Assessing PD-L1 Expression Status Using Radiomic Features from Contrast-Enhanced Breast MRI in Breast Cancer Patients: Initial Results

Cancers(2021)10.3390/cancers13246273
N/A
0DataRank · unranked
31 citations

Hannah Y. Wen, Jeffrey S. Reiner, Raza S. Hoda, Varadan Sevilimedu, Danny F. Martinez +5 more

Background Parenchymal Enhancement on Breast MRI as a Prognostic Surrogate: Correlation With Breast Cancer Oncotype Dx Score

Frontiers in Oncology(2021)10.3389/fonc.2020.595820
N/A
0DataRank · unranked
22 citations

Meredith Sadinski, Dana Haddad, Min Sun Bae, Danny F. Martinez, Elizabeth A. Morris +3 more

CT Radiomic Features for Predicting Resectability and TNM Staging in Thymic Epithelial Tumors

The Annals of Thoracic Surgery(2021)10.1016/j.athoracsur.2021.03.084
N/A
0DataRank · unranked
22 citations

María Mayoral, Junting Zheng, Kay See Tan, Peter Gibbs, Annemarie F. Shepherd +6 more

Impact of ComBat Harmonization on PET Radiomics-Based Tissue Classification: A Dual-Center PET/MRI and PET/CT Study

Journal of Nuclear Medicine(2022)10.2967/jnumed.121.263102
N/A
0DataRank · unranked
46 citations

Heiko Schöder, Alexander Haug, Hebert Alberto Vargas, Peter Gibbs, Ida Häggström +6 more

Breast Lesion Classification with Multiparametric Breast MRI Using Radiomics and Machine Learning: A Comparison with Radiologists’ Performance

Cancers(2022)10.3390/cancers14071743
N/A
0DataRank · unranked
38 citations

Peter Gibbs, Jeffrey S. Reiner, Roberto Lo Gullo, Sunitha B. Thakur, Maxine S. Jochelson +5 more

Can 18F-FDG PET/CT Radiomics Features Predict Clinical Outcomes in Patients with Locally Advanced Esophageal Squamous Cell Carcinoma?

Cancers(2022)10.3390/cancers14123035
N/A
0DataRank · unranked
13 citations

Peter Gibbs, Natalie Gangai, Raazi Bajwa, Ramon E. Sosa, Randy Yeh +5 more

Effect of Aspirin on Melanoma Incidence in Older Persons: Extended Follow-up of a Large Randomized Double-blind Placebo-controlled Trial

Cancer Prevention Research(2022)10.1158/1940-6207.capr-21-0244
N/A
0DataRank · unranked
11 citations

Suzanne G. Orchard, Nikki R. Adler, Rory Wolfe, Catriona McLean, Luz M. Rodriguez +6 more

Conventional and radiomic features to predict pathology in the preoperative assessment of anterior mediastinal masses

Lung Cancer(2023)10.1016/j.lungcan.2023.02.014
N/A
0DataRank · unranked
18 citations

Andrew Pagano, José de Arimateia Batista Araújo-Filho, Junting Zheng, Rocío Pérez-Johnston, Kay See Tan +8 more

MRI-based machine learning radiomics can predict HER2 expression level and pathologic response after neoadjuvant therapy in HER2 overexpressing breast cancer

EBioMedicine(2020)10.1016/j.ebiom.2020.103042
N/A
0DataRank · unranked
167 citations

Peter Gibbs, Carolina Rossi Saccarelli, Isaac Daimiel Naranjo, Roberto Lo Gullo, Michael J. Fox +6 more

Can MRI radiomics distinguish residual adenocarcinoma from acellular mucin in treated rectal cancer?

European Journal of Radiology(2025)10.1016/j.ejrad.2025.111986
N/A
0DataRank · unranked
6 citations

Abdalla Ibrahim, Akshay Baheti, Peter Gibbs, Shannon P. Sheedy, Sonia Lee +16 more