Jun Kadoi
Impact in
- Physiology top 5%
- Pain Mechanisms and Treatments
-
- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Nerve injury and regeneration
Papers in
-
- Neuropeptides and Animal Physiology 9
- Neuroscience and Neuropharmacology Research 3
- Axon Guidance and Neuronal Signaling 2
- Physiology 12
- Pain Mechanisms and Treatments 12
- Co-authors
- Mamoru Takeda (15 shared papers)Masanori Nasu (9 shared papers)Shigeji Matsumoto (8 shared papers)Takeshi Tanimoto (5 shared papers)Mizuho Ikeda (8 shared papers)Junichi Kitagawa (4 shared papers)S. Matsumoto (7 shared papers)Masayuki Takahashi (6 shared papers)
In The Last Decade
Jun Kadoi
17 papers receiving 693 citations
Peers
Comparison fields: 5 of 62
- Physiology 519
- Cellular and Molecular Neuroscience 330
- Sensory Systems 60
- Complementary and Manual Therapy 24
- Physiology 35
Countries citing papers authored by Jun Kadoi
This map shows the geographic impact of Jun Kadoi'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 Jun Kadoi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Kadoi more than expected).
Fields of papers citing papers by Jun Kadoi
This network shows the impact of papers produced by Jun Kadoi. 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 Jun Kadoi. The network helps show where Jun Kadoi may publish in the future.
Co-authors
The 20 scholars most cited alongside Jun Kadoi, 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 | 2006 | 193 | |
| 2 | 2006 | 88 | |
| 3 | 2005 | 76 | |
| 4 | 2005 | 73 | |
| 5 | 2006 | 56 | |
| 6 | 2003 | 54 | |
| 7 | 2004 | 42 | |
| 8 | 2007 | 22 | |
| 9 | 2005 | 22 | |
| 10 | 2006 | 19 | |
| 11 | 2005 | 18 | |
| 12 | 1991 | 14 | |
| 13 | 2010 | 9 | |
| 14 | 2006 | 9 | |
| 15 | 2007 | 8 | |
| 16 | 2006 | 1 | |
| 17 | 2003 | 1 |
About Jun Kadoi
Jun Kadoi is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Endocrine and Autonomic Systems and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 705 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (12 papers), Ion channel regulation and function (10 papers), Neuropeptides and Animal Physiology (9 papers), Neuroscience and Neuropharmacology Research (3 papers), Axon Guidance and Neuronal Signaling (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Hypothalamic control of reproductive hormones (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Physiology (519 citations), Cellular and Molecular Neuroscience (330 citations), Sensory Systems (60 citations), Complementary and Manual Therapy (24 citations) and Physiology (35 citations). Jun Kadoi has collaborated with scholars based in Japan, Australia and China. Frequent co-authors include Mamoru Takeda, Masanori Nasu, Shigeji Matsumoto, Takeshi Tanimoto, Mizuho Ikeda, Junichi Kitagawa, S. Matsumoto, Masayuki Takahashi, Tsuyoshi Tanimoto and Shinki Yoshida. Their work appears in journals such as Neuroscience, Pain, Brain Research, Experimental Brain Research and Life Sciences.
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.