Eric S. Kilpatrick

6.4k citations
109 papers · 4.6k · h-index 37

Impact in

Papers in

Eric S. Kilpatrick

109 papers receiving 4.4k citations

Peers

Eric S. Kilpatrick
Comparison fields: 5 of 127
  • Endocrinology, Diabetes and Metabolism 2.8k
  • Reproductive Medicine 726
  • Nephrology 218
  • Genetics 848
  • Cardiology and Cardiovascular Medicine 652
Replace Maryam Tohidi with:
Maryam Tohidi Iran
Stavroula Α. Paschou Greece
David Crook United Kingdom
Andreas Festa United States
Kaspar Berneis Switzerland
John R. Crouse United States
Manouchehr Nakhjavani Iran
M. Loredana Marcovecchio Italy
Dilys J. Freeman United Kingdom
Francesco Corrado Italy
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Citations per field
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Citations per year

Countries citing papers authored by Eric S. Kilpatrick

Since Specialization
Citations

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

Fields of papers citing papers by Eric S. Kilpatrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric S. Kilpatrick. 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 Eric S. Kilpatrick. The network helps show where Eric S. Kilpatrick may publish in the future.

Co-authors

The 25 scholars most cited alongside Eric S. Kilpatrick, 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 Eric S. Kilpatrick Line = papers co-authored together Eric S. Kilpatrick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007342
2 2008341
3 2006295
4 2002272
5 2007169
6 2015157
7 2015153
8 2010121
9 2009118
10 2008107
11 2003100
12 200591
13 200990
14 201985
15 201084
16 200775
17 201174
18 200373
19 200867
20 200764

About Eric S. Kilpatrick

Eric S. Kilpatrick is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Cardiology and Cardiovascular Medicine, Genetics and Public Health, Environmental and Occupational Health, having authored 109 papers that have together received 4.6k indexed citations. Recurring topics across this work include Ovarian function and disorders (34 papers), Diabetes Management and Research (28 papers), Diabetes Treatment and Management (19 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers), Diabetes and associated disorders (11 papers), Hormonal and reproductive studies (11 papers), Reproductive Biology and Fertility (10 papers) and Gestational Diabetes Research and Management (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.8k citations), Reproductive Medicine (726 citations), Nephrology (218 citations), Genetics (848 citations) and Cardiology and Cardiovascular Medicine (652 citations). Eric S. Kilpatrick has collaborated with scholars based in United Kingdom, Qatar and United States. Frequent co-authors include Stephen L. Atkin, Alan S. Rigby, Alan S. Rigby, Thozhukat Sathyapalan, Vijay Jayagopal, Paul Jennings, David Hepburn, Anne‐Marie Coady, Kevin Goode and Elaine Howarth. Their work appears in journals such as Diabetic Medicine, Diabetes Care, Clinical Endocrinology, The Journal of Clinical Endocrinology & Metabolism and Annals of Clinical Biochemistry International Journal of Laboratory Medicine.

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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