Kei Nagashima
-
- Circadian rhythm and melatonin 28
- Rehabilitation top 1%
- Exercise and Physiological Responses 16
- Physiology top 1%
- Thermoregulation and physiological responses 50
- Adipose Tissue and Metabolism 19
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol 14
- Sensory Systems top 2%
-
- Infrared Thermography in Medicine 27
-
- Climate Change and Health Impacts 12
-
- Heart Rate Variability and Autonomic Control 10
- Co-authors
- Kazuyuki KanosueMutsumi TanakaTamae YodaSadamu NakaiGary W. MackLarry I. CrawshawKen TokizawaYuki Uchida
- Journals
- Journal of Applied Physiology (12 papers)American Journal of Physiology-Regulatory, Integrative and Comparative Physiology (8 papers)Brain Research (6 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Kei Nagashima
103 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 136
- Endocrine and Autonomic Systems 722
- Rehabilitation 378
- Physiology 1.4k
- Behavioral Neuroscience 143
- Sensory Systems 155
Countries citing papers authored by Kei Nagashima
This map shows the geographic impact of Kei Nagashima'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 Kei Nagashima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kei Nagashima more than expected).
Fields of papers citing papers by Kei Nagashima
This network shows the impact of papers produced by Kei Nagashima. 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 Kei Nagashima. The network helps show where Kei Nagashima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kei Nagashima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 7 | |
| 3 | 2018 | 20 | |
| 4 | 2017 | 9 | |
| 5 | 2015 | 9 | |
| 6 | 2015 | 40 | |
| 7 | 2014 | 13 | |
| 8 | 2011 | 10 | |
| 9 | 2011 | 11 | |
| 10 | 2010 | 90 | |
| 11 | 2010 | 18 | |
| 12 | 2008 | 14 | |
| 13 | 2003 | 17 | |
| 14 | 2002 | 63 | |
| 15 | 2002 | 36 | |
| 16 | 2000 | 230 | |
| 17 | 1999 | 26 | |
| 18 | Effect of plasma osmolality on thermoregulatory responses to passive heating in humans | 1996 | 1 |
| 19 | 1989 | 2 | |
| 20 | 1989 | 2 |
About Kei Nagashima
Kei Nagashima is a scholar working on Endocrine and Autonomic Systems, Behavioral Neuroscience and Physiology, having authored 108 papers that have together received 2.5k indexed citations. Recurring topics across this work include Thermoregulation and physiological responses (50 papers), Circadian rhythm and melatonin (28 papers), Infrared Thermography in Medicine (27 papers), Adipose Tissue and Metabolism (19 papers), Exercise and Physiological Responses (16 papers), Stress Responses and Cortisol (14 papers), Climate Change and Health Impacts (12 papers) and Heart Rate Variability and Autonomic Control (10 papers). The work is most often cited by research in Endocrine and Autonomic Systems (722 citations), Rehabilitation (378 citations) and Physiology (1.4k citations). Kei Nagashima has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Kazuyuki Kanosue, Mutsumi Tanaka, Tamae Yoda, Sadamu Nakai, Gary W. Mack, Larry I. Crawshaw, Ken Tokizawa, Yuki Uchida, Masahiro Konishi and Mayumi Nakamura. Their work appears in journals such as Journal of Applied Physiology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Brain Research, Physiology & Behavior and The Journal of 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.