Stephen G. Gaffney

66 total papers · 2.9k total citations
25 papers, 561 citations indexed

About

Stephen G. Gaffney is a scholar working on Cancer Research, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Stephen G. Gaffney has authored 25 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cancer Research, 11 papers in Molecular Biology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Stephen G. Gaffney's work include Cancer Genomics and Diagnostics (10 papers), Epigenetics and DNA Methylation (4 papers) and Genomics and Rare Diseases (3 papers). Stephen G. Gaffney is often cited by papers focused on Cancer Genomics and Diagnostics (10 papers), Epigenetics and DNA Methylation (4 papers) and Genomics and Rare Diseases (3 papers). Stephen G. Gaffney collaborates with scholars based in United States, United Kingdom and Saudi Arabia. Stephen G. Gaffney's co-authors include Jeffrey P. Townsend, Vincent L. Cannataro, Zi-Ming Zhao, David L. Rimm, Bixiao Zhao, Richard P. Lifton, Atila Iamarino, Joseph Schlessinger, Yalai Bai and Barbara Burtness and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Stephen G. Gaffney

23 papers receiving 554 citations

Author Peers

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

Author Last Decade Papers Cites
Stephen G. Gaffney 316 265 147 107 91 25 561
Subramanian Venkatesan 401 1.3× 223 0.8× 170 1.2× 99 0.9× 63 0.7× 21 644
Christopher Alder 295 0.9× 312 1.2× 255 1.7× 59 0.6× 62 0.7× 13 647
Daniel C. Lazar 299 0.9× 202 0.8× 293 2.0× 70 0.7× 32 0.4× 22 631
Shelley Hoover 289 0.9× 121 0.5× 271 1.8× 82 0.8× 33 0.4× 21 648
Yukti Choudhury 411 1.3× 192 0.7× 85 0.6× 98 0.9× 61 0.7× 26 647
Marianna L. Ianzano 217 0.7× 62 0.2× 210 1.4× 107 1.0× 79 0.9× 19 497
Joël Gsponer 211 0.7× 160 0.6× 241 1.6× 138 1.3× 48 0.5× 17 672
Kijong Yi 241 0.8× 143 0.5× 204 1.4× 115 1.1× 52 0.6× 12 572
Nick G. Costouros 332 1.1× 115 0.4× 97 0.7× 92 0.9× 78 0.9× 20 652
G H Heppner 243 0.8× 234 0.9× 257 1.7× 70 0.7× 51 0.6× 17 597

Countries citing papers authored by Stephen G. Gaffney

Since Specialization
Citations

This map shows the geographic impact of Stephen G. Gaffney'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 Stephen G. Gaffney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen G. Gaffney more than expected).

Fields of papers citing papers by Stephen G. Gaffney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen G. Gaffney. 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 Stephen G. Gaffney. The network helps show where Stephen G. Gaffney may publish in the future.

Co-authorship network of co-authors of Stephen G. Gaffney

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen G. Gaffney. A scholar is included among the top collaborators of Stephen G. Gaffney 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 Stephen G. Gaffney. Stephen G. Gaffney 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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