Gabriel J. Starrett

155 total papers · 4.2k total citations
40 papers, 2.5k citations indexed

About

Gabriel J. Starrett is a scholar working on Oncology, Epidemiology and Molecular Biology. According to data from OpenAlex, Gabriel J. Starrett has authored 40 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 11 papers in Epidemiology and 10 papers in Molecular Biology. Recurrent topics in Gabriel J. Starrett's work include Polyomavirus and related diseases (13 papers), Cancer Genomics and Diagnostics (9 papers) and Plant Virus Research Studies (7 papers). Gabriel J. Starrett is often cited by papers focused on Polyomavirus and related diseases (13 papers), Cancer Genomics and Diagnostics (9 papers) and Plant Virus Research Studies (7 papers). Gabriel J. Starrett collaborates with scholars based in United States, United Kingdom and Netherlands. Gabriel J. Starrett's co-authors include Reuben S. Harris, Charles Swanton, Nicholas McGranahan, Stephen C. Jameson, Kristin A. Hogquist, You Jeong Lee, Nuri A. Temiz, Christopher B. Buck, Haiguang Wang and Brandon Leonard and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Gabriel J. Starrett

35 papers receiving 2.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gabriel J. Starrett 1.1k 739 660 420 419 40 2.5k
Elizabeth White 963 0.9× 635 0.9× 429 0.7× 416 1.0× 1.1k 2.5× 61 2.4k
Giuseppe Barbanti‐Brodano 1.1k 1.0× 1.4k 1.9× 281 0.4× 231 0.6× 366 0.9× 81 2.9k
Angus C. Wilson 1.3k 1.2× 686 0.9× 698 1.1× 299 0.7× 1.5k 3.7× 67 3.0k
Jörg Schneider 1.4k 1.2× 806 1.1× 1.6k 2.5× 115 0.3× 394 0.9× 34 3.0k
Ann Roman 1.0k 0.9× 776 1.1× 524 0.8× 294 0.7× 1.5k 3.5× 61 2.7k
Xianzheng Zhou 1.5k 1.3× 941 1.3× 1.4k 2.1× 421 1.0× 277 0.7× 48 3.0k
Jianxin You 2.3k 2.1× 1.6k 2.1× 1.2k 1.8× 811 1.9× 823 2.0× 55 4.3k
Daniel P. Depledge 1.1k 1.0× 285 0.4× 250 0.4× 327 0.8× 1.5k 3.5× 70 2.7k
Stacy M. Horner 2.7k 2.5× 336 0.5× 1.2k 1.8× 826 2.0× 867 2.1× 61 4.3k
Rosita Accardi 726 0.7× 800 1.1× 627 0.9× 444 1.1× 1.3k 3.0× 63 2.4k

Countries citing papers authored by Gabriel J. Starrett

Since Specialization
Citations

This map shows the geographic impact of Gabriel J. Starrett's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gabriel J. Starrett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel J. Starrett more than expected).

Fields of papers citing papers by Gabriel J. Starrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriel J. Starrett. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gabriel J. Starrett. The network helps show where Gabriel J. Starrett may publish in the future.

Co-authorship network of co-authors of Gabriel J. Starrett

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel J. Starrett. A scholar is included among the top collaborators of Gabriel J. Starrett based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabriel J. Starrett. Gabriel J. Starrett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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