Jeffrey J. Goates

9 total papers · 622 total citations
9 papers, 479 citations indexed

About

Jeffrey J. Goates is a scholar working on Surgery, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jeffrey J. Goates has authored 9 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in Pathology and Forensic Medicine and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jeffrey J. Goates's work include Adrenal and Paraganglionic Tumors (2 papers), Breast Cancer Treatment Studies (2 papers) and Breast Lesions and Carcinomas (2 papers). Jeffrey J. Goates is often cited by papers focused on Adrenal and Paraganglionic Tumors (2 papers), Breast Cancer Treatment Studies (2 papers) and Breast Lesions and Carcinomas (2 papers). Jeffrey J. Goates collaborates with scholars based in United States and Canada. Jeffrey J. Goates's co-authors include Richard K. Sibley, Yuan Chang, David R. Vandersteen, Julie Parsonnet, Dikran S. Horoupian, Dennis W. Dickson, Gwen Mazoujian, Lawrence M. Weiss, Randa Alsabeh and L. Jeffrey Medeiros and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, The American Journal of Surgical Pathology and Acta Neuropathologica.

In The Last Decade

Jeffrey J. Goates

9 papers receiving 459 citations

Author Peers

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

Author Last Decade Papers Cites
Jeffrey J. Goates 315 190 88 67 66 9 479
Marie‐Thérèse Chaumette 219 0.7× 201 1.1× 214 2.4× 67 1.0× 20 0.3× 11 476
Tammy Naab 154 0.5× 43 0.2× 120 1.4× 91 1.4× 62 0.9× 11 412
Tai‐Kwong Chan 219 0.7× 54 0.3× 72 0.8× 13 0.2× 44 0.7× 14 467
Ihor Pidhorecky 293 0.9× 317 1.7× 26 0.3× 13 0.2× 17 0.3× 7 501
David A. Biddle 129 0.4× 41 0.2× 83 0.9× 30 0.4× 19 0.3× 13 510
Keith V. Nance 131 0.4× 308 1.6× 32 0.4× 14 0.2× 120 1.8× 13 509
ST Yuen 92 0.3× 179 0.9× 102 1.2× 49 0.7× 51 0.8× 13 523
C. Vaughn Strimlan 116 0.4× 226 1.2× 142 1.6× 48 0.7× 12 0.2× 13 520
Jaime Furman 166 0.5× 188 1.0× 69 0.8× 13 0.2× 21 0.3× 16 432
M Riihelä 322 1.0× 187 1.0× 74 0.8× 57 0.9× 51 0.8× 7 413

Countries citing papers authored by Jeffrey J. Goates

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey J. Goates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey J. Goates. 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 Jeffrey J. Goates. The network helps show where Jeffrey J. Goates may publish in the future.

Co-authorship network of co-authors of Jeffrey J. Goates

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey J. Goates. A scholar is included among the top collaborators of Jeffrey J. Goates 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 Jeffrey J. Goates. Jeffrey J. Goates 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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