Thomas E. Tenner

1.1k total citations
53 papers, 978 citations indexed

About

Thomas E. Tenner is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Thomas E. Tenner has authored 53 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 16 papers in Cardiology and Cardiovascular Medicine and 11 papers in Physiology. Recurrent topics in Thomas E. Tenner's work include Receptor Mechanisms and Signaling (17 papers), Cardiac electrophysiology and arrhythmias (14 papers) and Ion channel regulation and function (9 papers). Thomas E. Tenner is often cited by papers focused on Receptor Mechanisms and Signaling (17 papers), Cardiac electrophysiology and arrhythmias (14 papers) and Ion channel regulation and function (9 papers). Thomas E. Tenner collaborates with scholars based in United States, Canada and Switzerland. Thomas E. Tenner's co-authors include Sasanka Ramanadham, P.K.T. Pang, John H. McNeill, Peter K.T. Pang, May C.M. Yang, John B. Lombardini, H. F. Janssen, John A. Yee, Miao Yang and William H. Lyness and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical Journal and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Thomas E. Tenner

52 papers receiving 929 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas E. Tenner United States 20 468 287 242 164 109 53 978
L C Garg United States 16 587 1.3× 221 0.8× 114 0.5× 80 0.5× 117 1.1× 40 927
Emel Songu‐Mize United States 17 514 1.1× 208 0.7× 186 0.8× 129 0.8× 213 2.0× 40 1.0k
Hamao Ijichi Japan 17 329 0.7× 188 0.7× 348 1.4× 129 0.8× 219 2.0× 115 1.1k
Corinne Nazaret France 15 487 1.0× 237 0.8× 51 0.2× 127 0.8× 97 0.9× 39 867
James S. Polakowski United States 17 405 0.9× 134 0.5× 172 0.7× 147 0.9× 80 0.7× 39 900
E J Stack United States 14 278 0.6× 188 0.7× 129 0.5× 88 0.5× 111 1.0× 18 589
Lawrence W. Byers United States 13 306 0.7× 225 0.8× 152 0.6× 56 0.3× 147 1.3× 28 919
Russell Bialecki United States 19 391 0.8× 235 0.8× 208 0.9× 173 1.1× 49 0.4× 38 884
Yoshiaki Masuyama Japan 18 345 0.7× 244 0.9× 229 0.9× 246 1.5× 163 1.5× 117 981
Amanda W. Wyatt Germany 16 466 1.0× 209 0.7× 142 0.6× 93 0.6× 186 1.7× 16 978

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-authorship network of co-authors of Thomas E. Tenner

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas E. Tenner. A scholar is included among the top collaborators of Thomas E. Tenner 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 Thomas E. Tenner. Thomas E. Tenner 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
1.
Peiris, Alan N., et al.. (2016). Your first foray into clinical research. The Southwest Respiratory and Critical Care Chronicles. 4(14).
2.
Shen, Chwan‐Li, Jay Cao, Raul Y. Dagda, et al.. (2011). Supplementation with Green Tea Polyphenols Improves Bone Microstructure and Quality in Aged, Orchidectomized Rats. Calcified Tissue International. 88(6). 455–463. 38 indexed citations
3.
Davis, David A., John E. Prescott, Michael Fordis, et al.. (2011). Rethinking CME: An Imperative for Academic Medicine and Faculty Development. Academic Medicine. 86(4). 468–473. 42 indexed citations
4.
Krim, Selim R., et al.. (2008). Digoxin: Current Use and Approach to Toxicity. The American Journal of the Medical Sciences. 336(5). 423–428. 27 indexed citations
5.
Zhang, Xinjian, et al.. (2004). Altered inotropic reactivity in diabetic rabbit right ventricular myocardium. Canadian Journal of Physiology and Pharmacology. 82(10). 903–910. 3 indexed citations
6.
Tenner, Thomas E., et al.. (2003). The Effect of Taurine Supplementation on Patients with Type 2 Diabetes Mellitus. Advances in experimental medicine and biology. 526. 91–96. 34 indexed citations
7.
Davis, Randall L., et al.. (2002). Differential Indicators of Diabetes‐Induced Oxidative Stress in New Zealand White Rabbits: Role of Dietary Vitamin E Supplementation. Journal of Diabetes Research. 3(3). 185–192. 12 indexed citations
8.
Wilcox, Richard E., Robert S. Pearlman, Richard M. Eglen, et al.. (2001). High-affinity interactions of ligands at recombinant Guinea pig 5HT7 receptors. Journal of Computer-Aided Molecular Design. 15(10). 883–909. 11 indexed citations
9.
Zhang, Xinjian, Thomas E. Tenner, & John B. Lombardini. (1999). Inhibition of rat vascular smooth muscle cell proliferation by taurine and taurine analogues. Biochemical Pharmacology. 57(11). 1331–1339. 26 indexed citations
10.
Ramos, Kenneth S., et al.. (1993). Alterations of rabbit aortic smooth muscle cell proliferation in diabetes mellitus. Cardiovascular Research. 27(7). 1229–1232. 36 indexed citations
11.
Gunasekaran, S, et al.. (1993). Pharmacological Study of Isoproterenol and Diabetic Cardiomyopathies in Rat Right Ventricular Strips. Pharmacology. 46(2). 101–108. 7 indexed citations
12.
Tenner, Thomas E., et al.. (1991). Rabbit aortic smooth muscle cell culture. Journal of Pharmacological Methods. 26(3). 211–222. 13 indexed citations
13.
Tenner, Thomas E., et al.. (1989). Characterization of β-adrenoceptor subtypes in rabbit mononuclear leukocytes. European Journal of Pharmacology. 160(2). 291–293. 1 indexed citations
14.
Tenner, Thomas E., et al.. (1988). Determination of beta adrenoceptor density on rabbit mononuclear leukocytes. Journal of Pharmacological Methods. 19(3). 193–203. 4 indexed citations
15.
Tenner, Thomas E., et al.. (1988). Nonspecific supersensitivity induced by reserpine in guinea pig cardiac ventricle tissue.. Journal of Pharmacology and Experimental Therapeutics. 246(1). 1–6. 14 indexed citations
16.
Kondo, Noriaki, Shoji Shibata, Thomas E. Tenner, & Peter K.T. Pang. (1988). Electromechanical Effects of bPTH-(1-34) on Rabbit Sinus Node Cells and Guinea Pig Papillary Muscles. Journal of Cardiovascular Pharmacology. 11(5). 619–625. 12 indexed citations
17.
Tenner, Thomas E., Amal Mukherjee, & R. Kelly Hester. (1982). Reserpine-induced supersensitivity and the proliferation of cardiac β-adrenoceptors. European Journal of Pharmacology. 77(1). 61–65. 24 indexed citations
18.
Tenner, Thomas E., et al.. (1981). Characterization of H2-receptor mediated relaxation in rabbit aortic strips. European Journal of Pharmacology. 73(4). 293–300. 14 indexed citations
19.
Tenner, Thomas E. & Oliver Carrier. (1978). Reserpine-induced supersensitivity to the chronotropic and inotropic effects of calcium in rabbit atria.. Journal of Pharmacology and Experimental Therapeutics. 205(1). 183–192. 14 indexed citations
20.
Tenner, Thomas E., John H. McNeill, & Oliver Carrier. (1978). The role of calcium in supersensitivity to the inotropic effects of norepinephrine. European Journal of Pharmacology. 50(4). 359–367. 12 indexed citations

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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