Jun KASHIMURA

21 papers receiving 340 citations

Peers

Jun KASHIMURA
Comparison fields: 5 of 73
  • Nutrition and Dietetics 111
  • Biotechnology 41
  • Endocrinology, Diabetes and Metabolism 74
  • Endocrine and Autonomic Systems 30
  • Physiology 114
Replace Emanuel Fabersani with:
Emanuel Fabersani Argentina
Arianne Schild United States
Christine M. Williams United Kingdom
Marta Santuré Canada
Chihiro Ushiroda Japan
A Strata Italy
JT Snook United States
Bingyin Shi China
Bénédicte Allam‐Ndoul Canada
Ananda T. Dias Brazil
Jun KASHIMURA relative to Emanuel Fabersani Argentina Emanuel Fabersani's profile →
Citations per field
00.5×3.4×
Emanuel Fabersani · 1×
Citations per year

Countries citing papers authored by Jun KASHIMURA

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun KASHIMURA Line = papers co-authored together Jun KASHIMURA links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004127
2 200946
3 200729
4 199628
5 201023
6 200315
7 198913
8 200813
9 199611
10 19909
11 20077
12 20096
13 19896
14 19885
15 19924
16 19904
17 20033
18 19913
19 20072
20 19932

About Jun KASHIMURA

Jun KASHIMURA is a scholar working on Genetics, Rheumatology, Nutrition and Dietetics, Physiology and Molecular Biology, 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 Microbial Metabolism and Applications (2 papers). The work is most often cited by research in Nutrition and Dietetics (111 citations), Biotechnology (41 citations), Endocrinology, Diabetes and Metabolism (74 citations), Endocrine and Autonomic Systems (30 citations) and Physiology (114 citations). Jun KASHIMURA has collaborated with scholars based in Japan, Thailand and Brazil. Frequent co-authors include Yukie Nagai, Yasuaki Saijo, Yuki Kawasaki, Yoshifumi Miyazaki, Reiko Kishi, Yoshinori Itokawa, M. Kimura, Hajime Sasaki, Yoshikazu Nakajima and Takashi Adachi. Their work appears in journals such as Diabetes Obesity and Metabolism, Italian Journal of Animal Science, Biological Trace Element Research, Journal of Agricultural and Food Chemistry 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.

Explore authors with similar magnitude of impact