T. E. Gayeski

1.9k total citations
35 papers, 1.4k citations indexed

About

T. E. Gayeski is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, T. E. Gayeski has authored 35 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Complementary and alternative medicine, 12 papers in Cardiology and Cardiovascular Medicine and 10 papers in Molecular Biology. Recurrent topics in T. E. Gayeski's work include Cardiovascular and exercise physiology (19 papers), Mitochondrial Function and Pathology (9 papers) and Hemoglobin structure and function (8 papers). T. E. Gayeski is often cited by papers focused on Cardiovascular and exercise physiology (19 papers), Mitochondrial Function and Pathology (9 papers) and Hemoglobin structure and function (8 papers). T. E. Gayeski collaborates with scholars based in United States, Germany and Spain. T. E. Gayeski's co-authors include C. R. Honig, R. J. Connett, George A. Brooks, Carl R. Honig, Patricia A. Clark, A. Clark, William J. Federspiel, William A. Voter, Bruce M. Fenton and J. L. Frierson and has published in prestigious journals such as Journal of Applied Physiology, Medicine & Science in Sports & Exercise and American Journal of Physiology-Heart and Circulatory Physiology.

In The Last Decade

T. E. Gayeski

33 papers receiving 1.4k citations

Peers

T. E. Gayeski
Comparison fields: 5 of 108
  • Complementary and alternative medicine 570
  • Cell Biology 363
  • Cardiology and Cardiovascular Medicine 362
  • Physiology 326
  • Molecular Biology 310
Replace C. R. Honig with:
C. R. Honig United States
Elizabeth A. Noyszewski United States
K. Kendrick United States
Marco E. Cabrera United States
R. S. Richardson United States
Robert W. Wiseman United States
Z. Turek Netherlands
G. W. Mainwood Canada
Richard A. Howlett United States
Youngran Chung United States
C. R. Honig United States View profile →
Citations per field, relative to T. E. Gayeski
T. E. Gayeski · 1×
Citations per year, relative to T. E. Gayeski
T. E. Gayeski · 1×

Countries citing papers authored by T. E. Gayeski

Since Specialization
Citations

This map shows the geographic impact of T. E. Gayeski'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 T. E. Gayeski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. E. Gayeski more than expected).

Fields of papers citing papers by T. E. Gayeski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. E. Gayeski. 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 T. E. Gayeski. The network helps show where T. E. Gayeski may publish in the future.

Co-authorship network of co-authors of T. E. Gayeski

This figure shows the co-authorship network connecting the top 25 collaborators of T. E. Gayeski. A scholar is included among the top collaborators of T. E. Gayeski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T. E. Gayeski. T. E. Gayeski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 26
2 25
3 0
4 1
5 2
6 65
7 19
8 301
9 16
10 14
11 21
12 3
13 1
14 27
15 40
16 77
17 115
18 40
19 132
20 6

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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