Jun Oka
Impact in
- Physiology top 1%
- Adenosine and Purinergic Signaling
- Calcium signaling and nucleotide metabolism
- Diet and metabolism studies
- Nutrition and Dietetics top 5%
Papers in
- Physiology 17
- Adenosine and Purinergic Signaling 9
- Adipose Tissue and Metabolism 5
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- Biochemical and Molecular Research 8
- Co-authors
- Osamu Hayaishi (11 shared papers)Kunihiro Ueda (9 shared papers)Mitsuru Higuchi (18 shared papers)Ryota Itoh (5 shared papers)Akiyo Matsumoto (5 shared papers)Yu Hosokawa (4 shared papers)H Ozasa (2 shared papers)Shigeto Uchiyama (3 shared papers)
In The Last Decade
Jun Oka
72 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 109
- Physiology 265
- Nutrition and Dietetics 256
- Pathology and Forensic Medicine 271
- Physiology 393
- Endocrine and Autonomic Systems 87
Countries citing papers authored by Jun Oka
This map shows the geographic impact of Jun Oka'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 Oka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Oka more than expected).
Fields of papers citing papers by Jun Oka
This network shows the impact of papers produced by Jun Oka. 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 Oka. The network helps show where Jun Oka may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Oka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1972 | 121 | |
| 2 | 2006 | 113 | |
| 3 | 2007 | 113 | |
| 4 | 1984 | 105 | |
| 5 | 2006 | 102 | |
| 6 | 2007 | 95 | |
| 7 | 1986 | 94 | |
| 8 | 2012 | 82 | |
| 9 | 1978 | 78 | |
| 10 | 1994 | 58 | |
| 11 | 2012 | 49 | |
| 12 | 1990 | 45 | |
| 13 | 2002 | 43 | |
| 14 | 2008 | 43 | |
| 15 | 1998 | 41 | |
| 16 | 2007 | 38 | |
| 17 | 2007 | 36 | |
| 18 | 2012 | 35 | |
| 19 | 2002 | 34 | |
| 20 | 1996 | 33 |
About Jun Oka
Jun Oka is a scholar working on Physiology, Molecular Biology, Cell Biology, Oncology and Physiology, having authored 76 papers that have together received 1.8k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (9 papers), Biochemical and Molecular Research (8 papers), PARP inhibition in cancer therapy (8 papers), Muscle metabolism and nutrition (6 papers), Exercise and Physiological Responses (6 papers), Aldose Reductase and Taurine (6 papers), Adipose Tissue and Metabolism (5 papers) and Vitamin C and Antioxidants Research (5 papers). The work is most often cited by research in Physiology (265 citations), Nutrition and Dietetics (256 citations), Pathology and Forensic Medicine (271 citations), Physiology (393 citations) and Endocrine and Autonomic Systems (87 citations). Jun Oka has collaborated with scholars based in Japan, India and Armenia. Frequent co-authors include Osamu Hayaishi, Kunihiro Ueda, Mitsuru Higuchi, Ryota Itoh, Akiyo Matsumoto, Yu Hosokawa, H Ozasa, Shigeto Uchiyama, Toshiya Toda and Yoshiko Ishimi. Their work appears in journals such as Biochemical and Biophysical Research Communications, Advances in experimental medicine and biology, Biochemical Journal, European Journal of Applied Physiology 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.