Kiyoshi Kimura

2.8k citations
147 papers · 2.2k · h-index 25

Impact in

Papers in

Kiyoshi Kimura

142 papers receiving 2.2k citations

Peers

Kiyoshi Kimura
Comparison fields: 5 of 136
  • Insect Science 652
  • Ecology, Evolution, Behavior and Systematics 464
  • Cellular and Molecular Neuroscience 391
  • Urology 110
  • Genetics 458
Replace So Young Lee with:
So Young Lee South Korea
Makoto Takano Japan
Renhua Li United States
Ian R. Brown Canada
G. M. H. Waites United Kingdom
Dong Wook Shin South Korea
Kweon Yu South Korea
Yan Hong China
Fang Xie United States
Kiyoshi Kimura relative to So Young Lee South Korea So Young Lee's profile →
Citations per field
00.5×5.7×
So Young Lee · 1×
Citations per year

Countries citing papers authored by Kiyoshi Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Kiyoshi Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 147 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000242
2 2000121
3 2009110
4 201183
5 201279
6 201250
7 201147
8 201046
9
Inhibition of cancer cell growth by polyinosinic-polycytidylic acid/cationic liposome complex: a new biological activity.
199945
10 201441
11 199140
12 201240
13 199039
14 199739
15 199736
16 199434
17 199433
18 199333
19 199131
20 199730

About Kiyoshi Kimura

Kiyoshi Kimura is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Insect Science, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 147 papers that have together received 2.2k indexed citations. Recurring topics across this work include Insect and Pesticide Research (34 papers), Insect and Arachnid Ecology and Behavior (27 papers), Plant and animal studies (26 papers), Neuroscience and Neuropharmacology Research (24 papers), Receptor Mechanisms and Signaling (13 papers), Neuropeptides and Animal Physiology (13 papers), Ion channel regulation and function (9 papers) and Urinary Bladder and Prostate Research (8 papers). The work is most often cited by research in Insect Science (652 citations), Ecology, Evolution, Behavior and Systematics (464 citations), Cellular and Molecular Neuroscience (391 citations), Urology (110 citations) and Genetics (458 citations). Kiyoshi Kimura has collaborated with scholars based in Japan, Thailand and China. Frequent co-authors include Mikio Yoshiyama, Yojiro Ukai, Hideo Tai, Yoshinori Itoh, Fusao Ueda, Tatsuhiko Kadowaki, Yoshiaki Yoshikuni, Tomomi Morimoto, Chanpen Chanchao and Yoshinori Ukai. Their work appears in journals such as Naunyn-Schmiedeberg s Archives of Pharmacology, Chemical and Pharmaceutical Bulletin, Antimicrobial Agents and Chemotherapy, Pharmacology Biochemistry and Behavior and Journal of Apicultural Research.

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