Scott M. Gordon

123 total papers · 2.1k total citations
51 papers, 1.4k citations indexed

About

Scott M. Gordon is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Scott M. Gordon has authored 51 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Surgery, 21 papers in Endocrinology, Diabetes and Metabolism and 15 papers in Molecular Biology. Recurrent topics in Scott M. Gordon's work include Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers), Lipoproteins and Cardiovascular Health (14 papers) and Cholesterol and Lipid Metabolism (12 papers). Scott M. Gordon is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers), Lipoproteins and Cardiovascular Health (14 papers) and Cholesterol and Lipid Metabolism (12 papers). Scott M. Gordon collaborates with scholars based in United States, China and Australia. Scott M. Gordon's co-authors include W. Sean Davidson, Long Lu, Alan T. Remaley, Amy S. Shah, Jingyuan Deng, Susanna M. Hofmann, David S. Askew, Lita A. Freeman, Sotirios K. Karathanasis and Hailong Li and has published in prestigious journals such as Gastroenterology, Diabetes and Scientific Reports.

In The Last Decade

Scott M. Gordon

48 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Scott M. Gordon 629 558 422 266 262 51 1.4k
Natalie Fournier 568 0.9× 863 1.5× 423 1.0× 241 0.9× 176 0.7× 53 1.5k
Ladislav Dory 443 0.7× 555 1.0× 551 1.3× 282 1.1× 157 0.6× 42 1.4k
Anouar Hafiane 504 0.8× 815 1.5× 476 1.1× 345 1.3× 343 1.3× 52 1.6k
P M Laplaud 536 0.9× 649 1.2× 464 1.1× 423 1.6× 232 0.9× 40 1.7k
G.L. Mills 565 0.9× 538 1.0× 420 1.0× 308 1.2× 198 0.8× 69 1.7k
Richard L. Dunbar 584 0.9× 660 1.2× 307 0.7× 253 1.0× 510 1.9× 52 1.4k
Dominique Lagrange 467 0.7× 542 1.0× 420 1.0× 223 0.8× 215 0.8× 35 1.6k
Danielle Duffy 456 0.7× 579 1.0× 325 0.8× 249 0.9× 212 0.8× 42 1.1k
Remco Franssen 584 0.9× 518 0.9× 330 0.8× 206 0.8× 492 1.9× 26 1.5k
Sivaram Pillarisetti 393 0.6× 336 0.6× 578 1.4× 287 1.1× 345 1.3× 47 1.8k

Countries citing papers authored by Scott M. Gordon

Since Specialization
Citations

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

Fields of papers citing papers by Scott M. Gordon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott M. Gordon. 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 Scott M. Gordon. The network helps show where Scott M. Gordon may publish in the future.

Co-authorship network of co-authors of Scott M. Gordon

This figure shows the co-authorship network connecting the top 25 collaborators of Scott M. Gordon. A scholar is included among the top collaborators of Scott M. Gordon 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 Scott M. Gordon. Scott M. Gordon 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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