T E Raya

982 citations
19 papers · 878 · h-index 14

Impact in

Papers in

T E Raya

19 papers receiving 842 citations

Peers

T E Raya
Comparison fields: 5 of 57
  • Cardiology and Cardiovascular Medicine 643
  • Endocrinology, Diabetes and Metabolism 109
  • Pathology and Forensic Medicine 58
  • Clinical Biochemistry 8
  • Physiology 41
Replace Thomas E. Raya with:
Thomas E. Raya United States
Anastassia V. Todor United States
Anna Maria Andreoli United States
Mária Zsófia Koltai Hungary
Michael Stimpel Germany
Ryo Katori Japan
Frank Muders Germany
Suneet Purohit United States
Guenther J. Dietze Germany
Werner Nickl Germany
T E Raya relative to Thomas E. Raya United States Thomas E. Raya's profile →
Citations per field
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Thomas E. Raya · 1×
Citations per year

Countries citing papers authored by T E Raya

Since Specialization
Citations

This map shows the geographic impact of T E Raya'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 Raya 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 Raya more than expected).

Fields of papers citing papers by T E Raya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside T E Raya, 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 T E Raya Line = papers co-authored together T E Raya links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1989131
2 1991117
3 1990116
4 1988107
5 199267
6 199156
7 199352
8 198840
9 199239
10 199526
11 198925
12 199020
13 199217
14 199016
15 199114
16 199212
17 198710
18 19927
19 19946

About T E Raya

T E Raya is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 878 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (7 papers), Cardiac Fibrosis and Remodeling (6 papers), Thyroid Disorders and Treatments (4 papers), Heart Failure Treatment and Management (4 papers), Renin-Angiotensin System Studies (3 papers), Cardiovascular Health and Disease Prevention (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (643 citations), Endocrinology, Diabetes and Metabolism (109 citations), Pathology and Forensic Medicine (58 citations), Clinical Biochemistry (8 citations) and Physiology (41 citations). T E Raya has collaborated with scholars based in United States. Frequent co-authors include Steven Goldman, Richard G. Gay, S E Litwin, Christine M. Litwin, Peter G. Anderson, Eugene Morkin, Alberta L. Warner, S Goldman, Sheldon E. Litwin and Joseph J. Bahl. Their work appears in journals such as Circulation, Journal of Pharmacology and Experimental Therapeutics, American Journal of Physiology-Heart and Circulatory Physiology, Circulation Research and Journal of Clinical Investigation.

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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