Thomas E. Tenner

1.1k citations
53 papers · 978 indexed · h-index 20

Impact in

Papers in

Thomas E. Tenner

52 papers receiving 929 citations

Peers

Thomas E. Tenner
Comparison fields: 5 of 107
  • Physiology 287
  • Cardiology and Cardiovascular Medicine 242
  • Nephrology 75
  • Cellular and Molecular Neuroscience 164
  • Molecular Biology 468
Replace M A Devynck with:
M A Devynck France
Yoshiaki Masuyama Japan
L C Garg United States
Hamao Ijichi Japan
Russell Bialecki United States
E J Stack United States
Amanda W. Wyatt Germany
David Clough United States
Grazia Tripodi Italy
Mariagnes Verosky United States
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Citations per field
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Citations per year

Countries citing papers authored by Thomas E. Tenner

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. Tenner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980110
2 198464
3 201142
4 201138
5 198537
6 199336
7 200334
8 199934
9 200330
10 198130
11 198729
12 198628
13 200827
14 199926
15 197926
16 198626
17 198224
18 198323
19 200122
20 198321

About Thomas E. Tenner

Thomas E. Tenner is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Cellular and Molecular Neuroscience and Animal Science and Zoology, having authored 53 papers that have together received 978 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (17 papers), Cardiac electrophysiology and arrhythmias (14 papers), Ion channel regulation and function (9 papers), Cardiovascular Function and Risk Factors (8 papers), Nitric Oxide and Endothelin Effects (7 papers), Neuropeptides and Animal Physiology (6 papers), Bone health and treatments (5 papers) and Pharmacological Effects and Assays (5 papers). The work is most often cited by research in Physiology (287 citations), Cardiology and Cardiovascular Medicine (242 citations), Nephrology (75 citations), Cellular and Molecular Neuroscience (164 citations) and Molecular Biology (468 citations). Thomas E. Tenner has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Sasanka Ramanadham, P.K.T. Pang, John H. McNeill, Peter K.T. Pang, May C.M. Yang, John B. Lombardini, Miao Yang, H. F. Janssen, John A. Yee and William H. Lyness. Their work appears in journals such as European Journal of Pharmacology, Canadian Journal of Physiology and Pharmacology, Journal of Pharmacology and Experimental Therapeutics, Pharmacology and Life Sciences.

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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