M Koyama

444 total citations
16 papers, 321 citations indexed

About

M Koyama is a scholar working on Molecular Biology, Infectious Diseases and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, M Koyama has authored 16 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in M Koyama's work include Computational Drug Discovery Methods (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Bacterial Genetics and Biotechnology (2 papers). M Koyama is often cited by papers focused on Computational Drug Discovery Methods (2 papers), Pharmacogenetics and Drug Metabolism (2 papers) and Bacterial Genetics and Biotechnology (2 papers). M Koyama collaborates with scholars based in Japan, United States and United Kingdom. M Koyama's co-authors include Ryuichiro Ishitani, Osamu Nureki, Hideaki Kato, Yuji Sugita, Nicolae Solcan, Tomoya Tsukazaki, Hideki Kandori, Motoyuki Hattori, Simon Newstead and Masayo Iwaki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

M Koyama

15 papers receiving 316 citations

Peers

M Koyama
Comparison fields: 5 of 78
  • Molecular Biology 165
  • Oncology 82
  • Genetics 46
  • Cellular and Molecular Neuroscience 36
  • Biochemistry 33
Replace Xiaobing Xia with:
Xiaobing Xia United Kingdom
Cristina Sensi Italy
Madeleine J. Headlam Australia
Cheom‐Gil Cheong United States
Giuseppe Punzi Italy
Ned M. Mozier United States
Fiona Whelan United Kingdom
Midori Ishikawa Japan
Chad E. Schroeder United States
Daniel A.P. Gutmann United Kingdom
Xiaobing Xia United Kingdom View profile →
Citations per field, relative to M Koyama
M Koyama · 1×
Citations per year, relative to M Koyama
M Koyama · 1×

Countries citing papers authored by M Koyama

Since Specialization
Citations

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

Fields of papers citing papers by M Koyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Koyama

This figure shows the co-authorship network connecting the top 25 collaborators of M Koyama. A scholar is included among the top collaborators of M Koyama based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M Koyama. M Koyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 13
2 31
3 150
4 15
5 17
6 4
7 1
8 1
9
Hepatocellular carcinoma in primary biliary cirrhosis: a case report and review of the Japanese literature.
5
10 4
11
HUMAN DECIDUAL CELL BIOSYNTHESIS OF LIF. REGULATION BY DECIDUAL CYTOKINES AND STEROID HORMONES
1
12 20
13
Inhibition of multidrug resistance by a new staurosporine derivative, NA-382, in vitro and in vivo.
30
14 1
15 24
16 4

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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2026