Tom Behrendt

20 papers receiving 182 citations

Peers

Tom Behrendt
Comparison fields: 5 of 47
  • Complementary and alternative medicine 51
  • Endocrine and Autonomic Systems 15
  • Orthopedics and Sports Medicine 18
  • Cardiology and Cardiovascular Medicine 44
  • Genetics 55
Replace Mladen Gasparini with:
Mladen Gasparini Slovenia
Toshiharu Natsume Japan
Michael Philadelphy Austria
Pamela Mettler United States
Raphael Martins de Abreu Brazil
Nicolas Coulmy France
M. Pastó Spain
Leonardo Henrique Dalcheco Messias Brazil
Diego Chaverri Spain
Mark E. Guilliams United States
Tom Behrendt relative to Mladen Gasparini Slovenia Mladen Gasparini's profile →
Citations per field
00.5×4.6×
Mladen Gasparini · 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 202215
6 202112
7 201810
8 20218
9 20237
10 20236
11 20226
12 20206
13 20176
14 20244
15 20202
16 20242
17 20221
18 20241
19 20231
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 192 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 (18 citations), Cardiology and Cardiovascular Medicine (44 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, Dennis Hamacher, О. С. Глазачев, Volkmar Leßmann, Tanja Brigadski and Christian Schmidt. Their work appears in journals such as BMC Neuroscience, Sports Medicine - Open, Frontiers in Physiology, Journal of Sports Science and Medicine and International Journal of Environmental Research and Public Health.

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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