Neil J. Elgee

25 total papers · 561 total citations
17 papers, 344 citations indexed

About

Neil J. Elgee is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Neil J. Elgee has authored 17 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Neil J. Elgee's work include Metabolism, Diabetes, and Cancer (5 papers), Pancreatic function and diabetes (4 papers) and Diabetes and associated disorders (3 papers). Neil J. Elgee is often cited by papers focused on Metabolism, Diabetes, and Cancer (5 papers), Pancreatic function and diabetes (4 papers) and Diabetes and associated disorders (3 papers). Neil J. Elgee collaborates with scholars based in United States. Neil J. Elgee's co-authors include Robert H. Williams, Norman D. Lee, Paul P. VanArsdel and Thomas Wong and has published in prestigious journals such as JAMA, Journal of Clinical Investigation and Annals of Internal Medicine.

In The Last Decade

Neil J. Elgee

16 papers receiving 279 citations

Author Peers

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

Author Last Decade Papers Cites
Neil J. Elgee 95 83 52 42 38 17 344
Rebecca A. Lee 116 1.2× 46 0.6× 56 1.1× 71 1.7× 37 1.0× 21 334
Ivan Ivić 98 1.0× 42 0.5× 15 0.3× 54 1.3× 51 1.3× 31 324
Elliot Dolan‐Evans 83 0.9× 53 0.6× 18 0.3× 9 0.2× 22 0.6× 12 346
Megan McPherson 66 0.7× 25 0.3× 43 0.8× 53 1.3× 20 0.5× 10 295
Hussein Abdullatif 45 0.5× 150 1.8× 21 0.4× 12 0.3× 87 2.3× 29 379
Tracy A. Thomas 75 0.8× 84 1.0× 25 0.5× 14 0.3× 57 1.5× 30 312
Donghui Tang 56 0.6× 53 0.6× 40 0.8× 72 1.7× 20 0.5× 20 402
Rebecca K. Sawyer 74 0.8× 22 0.3× 47 0.9× 35 0.8× 18 0.5× 16 350
Randall Williams 47 0.5× 136 1.6× 84 1.6× 92 2.2× 12 0.3× 13 309
Jennifer B. Robinette 84 0.9× 76 0.9× 13 0.3× 42 1.0× 23 0.6× 11 323

Countries citing papers authored by Neil J. Elgee

Since Specialization
Citations

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

Fields of papers citing papers by Neil J. Elgee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil J. Elgee

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