Kosuke Asano

23 papers receiving 395 citations

Peers

Kosuke Asano
Comparison fields: 5 of 74
  • Microbiology 15
  • Small Animals 56
  • Endocrinology 22
  • Aging 7
  • Infectious Diseases 72
Replace Shun-ichi Takewaki with:
Shun-ichi Takewaki Japan
Neelam Gulati India
Coad Thomas Dow United States
C. M. A. Soares Brazil
M. Galluser France
Anita M. Korteland-van Male Netherlands
Muhammad Azam Kakar Pakistan
V Cusumano Italy
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Citations per field
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Citations per year

Countries citing papers authored by Kosuke Asano

Since Specialization
Citations

This map shows the geographic impact of Kosuke Asano'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 Kosuke Asano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kosuke Asano more than expected).

Fields of papers citing papers by Kosuke Asano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kosuke Asano. 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 Kosuke Asano. The network helps show where Kosuke Asano may publish in the future.

Co-authors

The 25 scholars most cited alongside Kosuke Asano, 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 Kosuke Asano Line = papers co-authored together Kosuke Asano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991125
2 200070
3 200345
4 199038
5 200527
6 200017
7 200713
8 20119
9 20128
10
Automated microanalysis of creatinine by coupled enzyme reactions.
19927
11 20147
12 20246
13 20055
14 20125
15 20165
16 20124
17 20154
18 20244
19
[Usefulness of Gen-Probe for identification and classification of Mycobacterium avium complex].
19882
20
Color reduction of molasses-based distillery slop by crude manganese peroxidase from Ganoderma lucidum.
20102

About Kosuke Asano

Kosuke Asano is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 406 indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (3 papers), NF-κB Signaling Pathways (3 papers), Estrogen and related hormone effects (3 papers), Phytochemicals and Antioxidant Activities (3 papers), Microbial Metabolism and Applications (2 papers), Retinoids in leukemia and cellular processes (2 papers), Mycobacterium research and diagnosis (2 papers) and Prostate Cancer Treatment and Research (2 papers). The work is most often cited by research in Microbiology (15 citations), Small Animals (56 citations), Endocrinology (22 citations), Aging (7 citations) and Infectious Diseases (72 citations). Kosuke Asano has collaborated with scholars based in Japan. Frequent co-authors include Eiko Yabuuchi, Yasuhiro Hashimoto, Takayuki Ezaki, S Kusunoki, Makoto Tamesada, Tsuguru Usui, Nariaki Fujimoto, Satoshi Maruyama, Seiji Takayama and Minoru Hara. Their work appears in journals such as The Journal of Biochemistry, Journal of Agricultural and Food Chemistry, Hormone and Metabolic Research, Food Chemistry and Journal of Clinical Microbiology.

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.

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