T. Wenger

43 papers receiving 882 citations

Peers

T. Wenger
Comparison fields: 5 of 101
  • Pharmacology 355
  • Endocrine and Autonomic Systems 116
  • Emergency Medicine 112
  • Cellular and Molecular Neuroscience 179
  • Cardiology and Cardiovascular Medicine 181
Replace Werner Flacke with:
Werner Flacke United States
Michael J. Hosko United States
Elemér K. Zsigmond United States
R Virtanen Finland
Eitan Friedman United States
Osamu Kitamura Japan
M.E. Goldberg United States
Khalid Benamar United States
A. Donald Finck United States
Gordon McMurray United Kingdom
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Citations per field
00.5×3.7×
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Citations per year

Countries citing papers authored by T. Wenger

Since Specialization
Citations

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

Fields of papers citing papers by T. Wenger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990255
2 2000166
3 200248
4 200537
5 200831
6 199828
7 196627
8
The cardiovascular profile of bupropion.
198327
9 198224
10 196922
11 197321
12 199720
13 201118
14
Ependymal neurosecretion. II. Gomori-positive secretion in the paraventricular organ and the ventricula ependyma of different vertebrates.
196218
15
Use of bupropion in patients who exhibit orthostatic hypotension on tricyclic antidepressants.
198317
16 198414
17 199714
18 198014
19 197811
20 197611

About T. Wenger

T. Wenger is a scholar working on Pharmacology, Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Cognitive Neuroscience, having authored 45 papers that have together received 932 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (9 papers), Neuroscience of respiration and sleep (6 papers), Sleep and Wakefulness Research (5 papers), Hypothalamic control of reproductive hormones (5 papers), Diet, Metabolism, and Disease (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Augmented Reality Applications (4 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Pharmacology (355 citations), Endocrine and Autonomic Systems (116 citations), Emergency Medicine (112 citations), Cellular and Molecular Neuroscience (179 citations) and Cardiology and Cardiovascular Medicine (181 citations). T. Wenger has collaborated with scholars based in Hungary, United States and Germany. Frequent co-authors include E Haber, Thomas W. Smith, Elliott M. Antman, V P Butler, Javier Fernández‐Ruíz, J.A. Ramos, Vincenzo Di Marzo, Mauro Maccarrone, Jorge Manzanares and Fernando Berrendero. Their work appears in journals such as Neuroendocrinology, Brain Research, Pharmacology Biochemistry and Behavior, Circulation and Circulation Research.

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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