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

Scott Kivitz

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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 4 papers. Top paper: “A machine learning model for ranking candidate HLA class I neoantigens based on known neoepitopes from multiple human tumor types”.

A machine learning model for ranking candidate HLA class I neoantigens based on known neoepitopes from multiple human tumor types

Nature Cancer(2021)10.1038/s43018-021-00197-6

N/A

2.7DataRank · unranked

86 citations

Maria R. Parkhurst, Alena Gros, Eric Tran, Mohammad Jafferji, Amy R. Copeland +13 more

Antigen Experienced T Cells from Peripheral Blood Recognize p53 Neoantigens

Clinical Cancer Research(2020)10.1158/1078-0432.ccr-19-1874

N/A

0DataRank · unranked

124 citations

Rami Yossef, Gal Cafri, Biman C. Paria, Frank J. Lowery, Mohammad Jafferji +16 more

Molecular signatures of antitumor neoantigen-reactive T cells from metastatic human cancers

Science(2022)10.1126/science.abl5447

N/A

0DataRank · unranked

458 citations

Sri Krishna, Rami Yossef, Neilesh B. Parikh, Praveen D. Chatani, Nikolaos Zacharakis +37 more

A phenotypic signature that identifies neoantigen-reactive T cells in fresh human lung cancers

Cancer Cell(2022)10.1016/j.ccell.2022.03.012

N/A

0DataRank · unranked

196 citations

Chihao Zhao, Raúl Gil-Hoyos, Jared J. Gartner, Christopher A. Chow, Frank J. Lowery +12 more