Takeshi Saigusa

426 citations
18 papers · 359 indexed · h-index 12

Takeshi Saigusa

18 papers receiving 358 citations

Peers

Takeshi Saigusa
Comparison fields: 5 of 64
  • Endocrine and Autonomic Systems 93
  • Behavioral Neuroscience 38
  • Cardiology and Cardiovascular Medicine 185
  • Critical Care and Intensive Care Medicine 23
  • Cellular and Molecular Neuroscience 61
Replace Benet J. Pardini with:
Benet J. Pardini United States
K. Iitake Japan
Kyoung S. K. Chang United States
C. C. Barney United States
Hiroshi Hosomi Japan
Valérie Oréa France
Amy K. Roscoe United States
Walter W. Holbein United States
André Henrique Freiria-Oliveira Brazil
Motoko Yanase‐Fujiwara Japan
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Citations per field
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Citations per year

Countries citing papers authored by Takeshi Saigusa

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Saigusa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 202212
2 20151
3 20145
4 20036
5 200224
6 200233
7 19987
8 199727
9 199642
10 199326
11 19926
12 199111
13 199123
14 199149
15 199023
16 198834
17 198817
18 198713

About Takeshi Saigusa

Takeshi Saigusa is a scholar working on Endocrine and Autonomic Systems, Critical Care and Intensive Care Medicine and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 359 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (12 papers), Neuroscience of respiration and sleep (7 papers), Thermal Regulation in Medicine (4 papers), Neuroendocrine regulation and behavior (3 papers), Immune Response and Inflammation (2 papers), Renin-Angiotensin System Studies (2 papers), Thermoregulation and physiological responses (2 papers) and Stress Responses and Cortisol (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (93 citations), Behavioral Neuroscience (38 citations) and Cardiology and Cardiovascular Medicine (185 citations). Takeshi Saigusa has collaborated with scholars based in Japan and Australia. Frequent co-authors include Masami Iriki, Geoffrey A. Head, Jun Arita, Patricia K. Dorward, Kenji Ohashi, Graeme Eisenhofer, Dmitry N. Mayorov, James A. Angus, Helen Cox and Murray Esler. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Autonomic Neuroscience, Frontiers in Psychiatry and Brain 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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