Kotaro Koyama

909 citations
30 papers · 761 indexed · h-index 15

Kotaro Koyama

30 papers receiving 685 citations

Peers

Kotaro Koyama
Comparison fields: 5 of 76
  • Molecular Medicine 93
  • Physiology 82
  • Microbiology 108
  • Immunology 288
  • Endocrinology 57
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Li Wan China
Abbas Maqbool United Kingdom
Ian J. Evans United Kingdom
Philippe Bouige France
W. R. Romig United States
Mirjam Klepsch Sweden
Narumon Phaonakrop Thailand
Gary Wilcox United States
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Evelyne Richet France
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Citations per year

Countries citing papers authored by Kotaro Koyama

Since Specialization
Citations

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

Fields of papers citing papers by Kotaro Koyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200415
2 200419
3 200340
4 200219
5 200139
6 20015
7 200032
8 20001
9 199938
10 199834
11 199710
12 199637
13
Inhibition of lymphatic metastasis in a syngeneic rat fibrosarcoma model by an angiogenesis inhibitor, AGM-1470.
19965
14 199513
15 199010
16
Differences of host immune response and of sensitivity to chemotherapeutic agents between two clones of rat fibrosarcoma with different metastatic potential.
19863
17
Glycosphingolipids in clonal variants of rat fibrosarcoma cells with different transplantability.
19836
18
Correlation of glycosylation in a membrane protein with a molecular weight of 150,000 with tumorigenic property of rat fibrosarcoma variants.
197913
19 19729
20
[TUMOR TOXOHORMONE UNRELATED TO BACTERIAL CONTAMINATION].
19644

About Kotaro Koyama

Kotaro Koyama is a scholar working on Microbiology, Insect Science and Immunology, having authored 30 papers that have together received 761 indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (8 papers), Antimicrobial Peptides and Activities (7 papers), Glycosylation and Glycoproteins Research (5 papers), Insect Resistance and Genetics (5 papers), Insect and Pesticide Research (3 papers), Insect Pest Control Strategies (3 papers), Insect Utilization and Effects (3 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Molecular Medicine (93 citations), Physiology (82 citations) and Microbiology (108 citations). Kotaro Koyama has collaborated with scholars based in Japan, United Kingdom and Germany. Frequent co-authors include Takashi Sügimura, Keiji Wakabayashi, Tomoichiro Akiba, Takashi Kanazawa, Yuko Matsushima‐Hibiya, Takuo Kono, Toshio Fukushima, Sadao Kimura, Masahiko Watanabe and Masahiko Watanabe. Their work appears in journals such as Proceedings of the Japan Academy Series B, Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications, JNCI Journal of the National Cancer Institute and European Journal of Biochemistry.

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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