M Banet

26 papers receiving 337 citations

Peers

M Banet
Comparison fields: 5 of 67
  • Behavioral Neuroscience 64
  • Endocrine and Autonomic Systems 102
  • Critical Care and Intensive Care Medicine 67
  • Physiology 133
  • Social Psychology 62
Replace J. J. Klir with:
J. J. Klir United States
Lois M. Harden South Africa
L. A. Toth United States
Rubina Mian United Kingdom
Annemarie König Germany
Grażyna Domańska Germany
Anke Randolf Germany
K. Hansen Germany
L. D. Carlson United States
R.M. Abrams United States
M Banet relative to J. J. Klir United States J. J. Klir's profile →
Citations per field
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J. J. Klir · 1×
Citations per year

Countries citing papers authored by M Banet

Since Specialization
Citations

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

Fields of papers citing papers by M Banet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside M Banet, 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 M Banet Line = papers co-authored together M Banet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197864
2 198535
3 197727
4
Fever in mammals: is it beneficial?
198627
5 198126
6 197223
7 197922
8 198120
9 198618
10 197617
11 197615
12 198413
13 19829
14 19709
15 19788
16 19768
17 19818
18 19887
19 19876
20 19676

About M Banet

M Banet is a scholar working on Physiology, Behavioral Neuroscience, Critical Care and Intensive Care Medicine, Social Psychology and Endocrine and Autonomic Systems, having authored 27 papers that have together received 391 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (13 papers), Stress Responses and Cortisol (9 papers), Thermal Regulation in Medicine (7 papers), Neuroendocrine regulation and behavior (5 papers), Thermoregulation and physiological responses (4 papers), Circadian rhythm and melatonin (4 papers), Immune Response and Inflammation (4 papers) and Exercise and Physiological Responses (3 papers). The work is most often cited by research in Behavioral Neuroscience (64 citations), Endocrine and Autonomic Systems (102 citations), Critical Care and Intensive Care Medicine (67 citations), Physiology (133 citations) and Social Psychology (62 citations). M Banet has collaborated with scholars based in Germany, Slovakia and France. Frequent co-authors include Herbert Hensel, Clark M. Blatteis, J. J. Séguin, Christian Ott, K. Hartmann, Daniel A. Fischer, Guyton Ac and Michel Cabanac. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, The Journal of Physiology, American Journal of Physiology-Legacy Content, Cellular and Molecular Life Sciences and Journal of Applied Physiology.

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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