Jun KASHIMURA
Impact in
- Nutrition and Dietetics top 10%
- Food composition and properties
- Microbial Metabolites in Food Biotechnology
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- Enzyme Production and Characterization
Papers in
- Genetics 8
- Digestive system and related health 7
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- Bone and Dental Protein Studies 6
- Co-authors
- Yukie Nagai (5 shared papers)Reiko Kishi (1 shared paper)Yuki Kawasaki (1 shared paper)Yasuaki Saijo (1 shared paper)Yoshifumi Miyazaki (1 shared paper)Yoshinori Itokawa (4 shared papers)M. Kimura (1 shared paper)Hajime Sasaki (2 shared papers)
In The Last Decade
Jun KASHIMURA
21 papers receiving 344 citations
Peers
Comparison fields: 5 of 71
- Nutrition and Dietetics 99
- Biotechnology 41
- Endocrinology, Diabetes and Metabolism 52
- Physiology 77
- Endocrine and Autonomic Systems 19
Countries citing papers authored by Jun KASHIMURA
This map shows the geographic impact of Jun KASHIMURA'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 KASHIMURA with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun KASHIMURA more than expected).
Fields of papers citing papers by Jun KASHIMURA
This network shows the impact of papers produced by Jun KASHIMURA. 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 KASHIMURA. The network helps show where Jun KASHIMURA may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun KASHIMURA, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 127 | |
| 2 | 2009 | 46 | |
| 3 | 2007 | 29 | |
| 4 | 1996 | 28 | |
| 5 | 2010 | 23 | |
| 6 | 2003 | 15 | |
| 7 | 2008 | 13 | |
| 8 | 1989 | 13 | |
| 9 | 1996 | 11 | |
| 10 | 1990 | 9 | |
| 11 | 2007 | 7 | |
| 12 | 1989 | 6 | |
| 13 | 2009 | 6 | |
| 14 | 1988 | 5 | |
| 15 | 1992 | 4 | |
| 16 | 1990 | 4 | |
| 17 | 2003 | 3 | |
| 18 | 1991 | 3 | |
| 19 | 1993 | 2 | |
| 20 | 2007 | 2 |
About Jun KASHIMURA
Jun KASHIMURA is a scholar working on Genetics, Rheumatology, Nutrition and Dietetics, Molecular Biology and Physiology, having authored 21 papers that have together received 358 indexed citations. Recurring topics across this work include Digestive system and related health (7 papers), Bone and Dental Protein Studies (6 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), Animal Nutrition and Physiology (3 papers), Biochemical Analysis and Sensing Techniques (3 papers), Food composition and properties (3 papers), Enzyme Production and Characterization (3 papers) and Meat and Animal Product Quality (2 papers). The work is most often cited by research in Nutrition and Dietetics (99 citations), Biotechnology (41 citations), Endocrinology, Diabetes and Metabolism (52 citations), Physiology (77 citations) and Endocrine and Autonomic Systems (19 citations). Jun KASHIMURA has collaborated with scholars based in Japan, Thailand and Brazil. Frequent co-authors include Yukie Nagai, Reiko Kishi, Yuki Kawasaki, Yasuaki Saijo, Yoshifumi Miyazaki, Yoshinori Itokawa, M. Kimura, Hajime Sasaki, Yoshikazu Nakajima and Yoshimi Benno. Their work appears in journals such as Diabetes Obesity and Metabolism, Journal of Agricultural and Food Chemistry, The Journal of General and Applied Microbiology, Biological Trace Element Research and Clinical and Experimental Pharmacology and 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.