Matthew Cooper

206 papers receiving 4.5k citations

Peers

Matthew Cooper
Comparison fields: 5 of 116
  • Transplantation 1.7k
  • Nephrology 327
  • Public Health, Environmental and Occupational Health 1.0k
  • Surgery 1.4k
  • Health Informatics 36
Replace Carmen Lefaucheur with:
Carmen Lefaucheur France
Kathryn Tinckam Canada
Daniel Serón Spain
Dany Anglicheau France
Eugene J. Schweitzer United States
Barbara Murphy United States
Gavin J. Pettigrew United Kingdom
Fritz Diekmann Spain
Denis Glotz France
David W. Gjertson United States
Matthew Cooper relative to Carmen Lefaucheur France Carmen Lefaucheur's profile →
Citations per field
00.5×1.5×1.8×
Carmen Lefaucheur · 1×
Citations per year

Countries citing papers authored by Matthew Cooper

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 218 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004285
2 2009177
3 2008123
4 2005117
5 1983114
6 2004110
7 2009108
8 1984106
9 200896
10 200691
11 201988
12 201582
13 201277
14
Arteriosclerosis of coronary arteries in sudden, unexpected deaths.
197576
15 201869
16 199859
17 201857
18 200957
19 200752
20 200851

About Matthew Cooper

Matthew Cooper is a scholar working on Transplantation, Public Health, Environmental and Occupational Health, Surgery, Pulmonary and Respiratory Medicine and Nephrology, having authored 218 papers that have together received 4.6k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (96 papers), Organ Donation and Transplantation (74 papers), Organ Transplantation Techniques and Outcomes (48 papers), Renal and Vascular Pathologies (38 papers), Transplantation: Methods and Outcomes (11 papers), Neurological Complications and Syndromes (8 papers), Renal Diseases and Glomerulopathies (7 papers) and Dialysis and Renal Disease Management (6 papers). The work is most often cited by research in Transplantation (1.7k citations), Nephrology (327 citations), Public Health, Environmental and Occupational Health (1.0k citations), Surgery (1.4k citations) and Health Informatics (36 citations). Matthew Cooper has collaborated with scholars based in United States, Canada and Thailand. Frequent co-authors include Abdolreza Haririan, Stephen T. Bartlett, Joseph N. Cunningham, Frank C. Spencer, John C. Laschinger, Dorry L. Segev, Robert A. Montgomery, Joseph M. Nogueira, Daniel Warren and Ira M. Nathan. Their work appears in journals such as Transplantation, American Journal of Transplantation, Clinical Transplantation, American Journal of Kidney Diseases and The Annals of Thoracic Surgery.

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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