Campbell Kyle

32 papers receiving 521 citations

Peers

Campbell Kyle
Comparison fields: 5 of 70
  • Cardiology and Cardiovascular Medicine 176
  • Endocrinology, Diabetes and Metabolism 81
  • Clinical Biochemistry 33
  • Surgery 126
  • Orthopedics and Sports Medicine 24
Replace Fatih Mehmet Erdur with:
Fatih Mehmet Erdur Türkiye
Roberto Palma dos Reis Portugal
Jae Hyuk Lee South Korea
Makiko Abe Japan
Karin E. Trajcevski Canada
Miyase Bayraktar Türkiye
Nilgün Güvener Demirağ Türkiye
Yiding Yu China
Chang Chu China
Shinobu Matsumoto Japan
Campbell Kyle relative to Fatih Mehmet Erdur Türkiye Fatih Mehmet Erdur's profile →
Citations per field
00.5×5×10×15×
Fatih Mehmet Erdur · 1×
Citations per year

Countries citing papers authored by Campbell Kyle

Since Specialization
Citations

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

Fields of papers citing papers by Campbell Kyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202083
2 200983
3 202056
4 198138
5 201931
6 202021
7 202121
8 202220
9 201820
10 202119
11 202018
12 201717
13 201813
14 198912
15 201710
16 200110
17 20238
18 20167
19 20227
20 20116

About Campbell Kyle

Campbell Kyle is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Clinical Biochemistry, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 33 papers that have together received 546 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (8 papers), Coronary Interventions and Diagnostics (3 papers), Mitochondrial Function and Pathology (3 papers), Metabolism and Genetic Disorders (3 papers), Diet and metabolism studies (3 papers), Lipoproteins and Cardiovascular Health (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (176 citations), Endocrinology, Diabetes and Metabolism (81 citations), Clinical Biochemistry (33 citations), Surgery (126 citations) and Orthopedics and Sports Medicine (24 citations). Campbell Kyle has collaborated with scholars based in New Zealand, Australia and United Kingdom. Frequent co-authors include Leo Lam, William D. Odell, M C Evans, Ian R. Reid, Andrew B. Grey, Patrick A. Gladding, Rexson Datquen Tse, Gregory D. Gamble, Mark J Bolland and Barbara Mason. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Clinical Chemistry, The Journal of Clinical Endocrinology & Metabolism, Journal of Inherited Metabolic Disease 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.

Explore authors with similar magnitude of impact