Eric M. Cottington

784 citations
21 papers · 668 · h-index 14

Impact in

Papers in

    • Organ Transplantation Techniques and Outcomes 4
    • Pancreatitis Pathology and Treatment 2
    • Renal Transplantation Outcomes and Treatments 5

Eric M. Cottington

21 papers receiving 631 citations

Peers

Eric M. Cottington
Comparison fields: 5 of 88
  • Transplantation 49
  • Behavioral Neuroscience 42
  • Emergency Medicine 97
  • Cardiology and Cardiovascular Medicine 137
  • Applied Psychology 24
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Tekeda Ferguson United States
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I. Miedema Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Eric M. Cottington

Since Specialization
Citations

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

Fields of papers citing papers by Eric M. Cottington

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198698
2 198689
3 198881
4 198065
5 198561
6 199141
7 199340
8 199337
9 199229
10 200225
11 199218
12 199217
13
Flow cytometric S fraction as a predictor of clinical outcome in cystosarcoma phyllodes.
199016
14 198916
15
Function of simultaneous kidney and pancreas transplants from pediatric donors.
198912
16
Transplantation of the extreme age donor kidneys.
19938
17 19904
18 19923
19 19943
20 19903

About Eric M. Cottington

Eric M. Cottington is a scholar working on Surgery, Transplantation, General Health Professions, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 21 papers that have together received 668 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (5 papers), Organ Transplantation Techniques and Outcomes (4 papers), Optimism, Hope, and Well-being (2 papers), Emergency and Acute Care Studies (2 papers), Liver Disease and Transplantation (2 papers), Pancreatitis Pathology and Treatment (2 papers), Employment and Welfare Studies (2 papers) and Health disparities and outcomes (2 papers). The work is most often cited by research in Transplantation (49 citations), Behavioral Neuroscience (42 citations), Emergency Medicine (97 citations), Cardiology and Cardiovascular Medicine (137 citations) and Applied Psychology (24 citations). Eric M. Cottington has collaborated with scholars based in United States, Netherlands and Czechia. Frequent co-authors include Evelyn O. Talbott, Karen A. Matthews, Lewis H. Kuller, Dai D. Nghiem, Mara Julius, Ernest H. Johnson, Bruce M. Brock, James S. House, Daniel L. Diamond and J. Costello. Their work appears in journals such as Psychosomatic Medicine, American Journal of Epidemiology, Transplant International, The American Journal of Cardiology and Journal of ExtraCorporeal Technology.

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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