JM Egan

1.5k citations
15 papers · 1.1k · h-index 11

Impact in

Papers in

JM Egan

13 papers receiving 1.1k citations

Peers

JM Egan
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 706
  • Surgery 794
  • Genetics 237
  • Endocrine and Autonomic Systems 44
  • Molecular Biology 355
Replace Maria Gerasimova with:
Maria Gerasimova United States
Ivan Tkáč Slovakia
Martin Javorský Slovakia
Irfan Vardarli Germany
Thekkepat C. Sandeep United Kingdom
R Takeda Japan
Y. Miyazaki United States
Luminita H. Pojoga United States
Leona Plum‐Mörschel Germany
J A Scarlett United States
JM Egan relative to Maria Gerasimova United States Maria Gerasimova's profile →
Citations per field
00.5×5.6×
Maria Gerasimova · 1×
Citations per year

Countries citing papers authored by JM Egan

Since Specialization
Citations

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

Fields of papers citing papers by JM Egan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by JM Egan. 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 JM Egan. The network helps show where JM Egan may publish in the future.

Co-authors

The 25 scholars most cited alongside JM Egan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with JM Egan Line = papers co-authored together JM Egan links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2000486
2 1999266
3 198782
4 199569
5 198641
6 199741
7 199437
8 198730
9 199619
10 198818
11 198611
12 19884
13 19872
14
Actinomyces pyogenes mastitis with particular emphasis on summer mastitis
19941
15 20240

About JM Egan

JM Egan is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Pharmacology and Pediatrics, Perinatology and Child Health, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Diabetes Treatment and Management (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Neonatal Health and Biochemistry (3 papers), Receptor Mechanisms and Signaling (2 papers), Diabetes and associated disorders (2 papers) and Thyroid Disorders and Treatments (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (706 citations), Surgery (794 citations), Genetics (237 citations), Endocrine and Autonomic Systems (44 citations) and Molecular Biology (355 citations). JM Egan has collaborated with scholars based in United States and Canada. Frequent co-authors include Daniel J. Drucker, Doris A. Stoffers, Timothy J. Kieffer, Susan Bonner‐Weir, Mehboob A. Hussain, Joel F. Habener, Marco A. Piñeyro, Jie Zhou, Xiaolin Wang and Chahrzad Montrose‐Rafizadeh. Their work appears in journals such as Endocrinology, Diabetes, Clinical Pharmacology & Therapeutics, The Journals of Gerontology Series A and Journal of Pharmacology and Experimental Therapeutics.

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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