Tom Behrendt

416 citations
20 papers · 188 · h-index 8

Impact in

Papers in

Tom Behrendt

20 papers receiving 178 citations

Peers

Tom Behrendt
Comparison fields: 5 of 47
  • Complementary and alternative medicine 51
  • Endocrine and Autonomic Systems 15
  • Orthopedics and Sports Medicine 17
  • Cardiology and Cardiovascular Medicine 42
  • Genetics 55
Replace Irina Zelenkova with:
Irina Zelenkova Spain
Pamela Mettler United States
Michael Philadelphy Austria
Egil I. Johansen Norway
Anne Houssière Belgium
A. G. Hahn Australia
I Clement United Kingdom
M. Pastó Spain
Diego Chaverri Spain
John R.A. Shepherd United States
Tom Behrendt relative to Irina Zelenkova Spain Irina Zelenkova's profile →
Citations per field
00.5×2.6×
Irina Zelenkova · 1×
Citations per year

Countries citing papers authored by Tom Behrendt

Since Specialization
Citations

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

Fields of papers citing papers by Tom Behrendt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202242
2 202123
3 202220
4 202119
5 202214
6 202112
7 201810
8 20218
9 20226
10 20206
11 20176
12 20236
13 20235
14 20244
15 20202
16 20221
17 20241
18 20231
19 20241
20 20241

About Tom Behrendt

Tom Behrendt is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine, Genetics, Physiology and Surgery, having authored 20 papers that have together received 188 indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (11 papers), Heart Rate Variability and Autonomic Control (8 papers), High Altitude and Hypoxia (7 papers), Hemodynamic Monitoring and Therapy (2 papers), Musculoskeletal pain and rehabilitation (2 papers), Cardiovascular Effects of Exercise (1 paper), Optical Imaging and Spectroscopy Techniques (1 paper) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). The work is most often cited by research in Complementary and alternative medicine (51 citations), Endocrine and Autonomic Systems (15 citations), Orthopedics and Sports Medicine (17 citations), Cardiology and Cardiovascular Medicine (42 citations) and Genetics (55 citations). Tom Behrendt has collaborated with scholars based in Germany, Russia and United Kingdom. Frequent co-authors include Lutz Schega, Martin Behrens, Fabian Herold, Notger G. Müller, Alexander Törpel, О. С. Глазачев, Dennis Hamacher, Volkmar Leßmann, Tanja Brigadski and Jörg Franke. Their work appears in journals such as Frontiers in Physiology, Sports Medicine - Open, BMC Neuroscience, The Journal of Strength and Conditioning Research and PeerJ.

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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