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

Pierre Chambon

University of Liverpool

ORCID: 0000-0001-7394-3729

Also affiliated with Stanford University

ChemistryBiochemistry, Genetics and Molecular BiologyMaterials 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 2%percentile
2.5Author 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.

Automated deidentification of radiology reports combining transformer and “hide in plain sight” rule-based methods

Journal of the American Medical Informatics Association(2022)10.1093/jamia/ocac219
Top 9%
2.5DataRank
Top 9%51 citations

Christopher L. Wu, Jackson Steinkamp, Jason Adleberg, Tessa S. Cook, Curtis P. Langlotz +1 more

Papers

Driven by 5 papers — median percentile 91. Top paper: “Automated deidentification of radiology reports combining transformer and “hide in plain sight” rule-based methods”.

Automated deidentification of radiology reports combining transformer and “hide in plain sight” rule-based methods

Journal of the American Medical Informatics Association(2022)10.1093/jamia/ocac219
Top 9%
2.5DataRank
Top 9%51 citations

Christopher L. Wu, Jackson Steinkamp, Jason Adleberg, Tessa S. Cook, Curtis P. Langlotz +1 more

Improved Fine-Tuning of In-Domain Transformer Model for Inferring COVID-19 Presence in Multi-Institutional Radiology Reports

Journal of Digital Imaging(2022)10.1007/s10278-022-00714-8
N/A
0DataRank · unranked
16 citations

Tessa S. Cook, Curtis P. Langlotz, Pierre Chambon

Linear and branched polymer prodrugs of the water-soluble nucleoside reverse-transcriptase inhibitor emtricitabine as structural materials for long-acting implants

Journal of Materials Chemistry B(2022)10.1039/d2tb00825d
N/A
0DataRank · unranked
8 citations

Faye Y. Hern, Chung Liu, Kartik Temburnikar, Pierre Chambon, Neill J. Liptrott +6 more

Polymer–prodrug conjugates as candidates for degradable, long-acting implants, releasing the water-soluble nucleoside reverse-transcriptase inhibitor emtricitabine

Journal of Materials Chemistry B(2023)10.1039/d3tb02268d
N/A
0DataRank · unranked
1 citations

Faye Y. Hern, A. Shakil, Kartik Temburnikar, Pierre Chambon, Neill J. Liptrott +7 more

A vision–language foundation model for the generation of realistic chest X-ray images

Nature Biomedical Engineering(2024)10.1038/s41551-024-01246-y
N/A
0DataRank · unranked
93 citations

Pierre Chambon, Jean-Benoit Delbrouck, Rogier van der Sluijs, Malgorzata Polacin, Juan Manuel Zambrano Chaves +5 more