Koichi Matsuda

37.9k citations
251 papers · 11.6k indexed · 5 hit papers · h-index 56
Topics
Genetic Associations and Epidemiology (29 papers)Epigenetics and DNA Methylation (19 papers)Cancer-related Molecular Pathways (18 papers)

In The Last Decade

Koichi Matsuda

235 papers receiving 11.4k citations

Hit Papers

p53AIP1, a Potential Mediator of p53-Dependent Apoptosis,...200020262008201720002004200420132018250500750

Peers

Koichi Matsuda
Comparison fields: 5 of 173
  • Molecular Biology 5.7k
  • Oncology 2.4k
  • Genetics 2.1k
  • Epidemiology 1.7k
  • Cancer Research 1.7k
Replace Christoph Röcken with:
Christoph Röcken Germany
Joel S. Greenberger United States
Susumu Itoh Japan
Hisao Ito Japan
Kurt Werner Schmid Germany
Thomas Krausz United States
Toshihiro Nukiwa Japan
Hiroshi Tanaka Japan
Maria Tsokos United States
Giuseppe Leone Italy
Koichi Matsuda relative to Christoph Röcken Germany Christoph Röcken's profile →
Citations per field
00.5×1.5×1.8×
Christoph Röcken · 1×
Citations per year

Countries citing papers authored by Koichi Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Matsuda

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Matsuda. A scholar is included among the top collaborators of Koichi Matsuda 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 Koichi Matsuda. Koichi Matsuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
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5 1
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10 18
11 25
12 84
13 4
14 8
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18 107
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Abstract 1282: Interleukin-11 Prevents Cardiac Remodeling after Myocardial Infarction with Neovascularization in Murine Model.
0
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[Identification of the epidural space using a drip infusion set].
3

About Koichi Matsuda

Koichi Matsuda is a scholar working on Cancer Research, Genetics and Oncology, having authored 251 papers that have together received 11.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (29 papers), Epigenetics and DNA Methylation (19 papers) and Cancer-related Molecular Pathways (18 papers). The work is most often cited by research in Cancer Research (1.7k citations), Oncology (2.4k citations) and Molecular Biology (5.7k citations). Koichi Matsuda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Chizu Tanikawa, Michiaki Kubo, Yoichiro Kamatani, Yusuke Nakamura, Atsushi Takahashi, Naoyuki Kamatani, Yukinori Okada, Hirofumi Arakawa, Yusuke Nakamura and Naoya Hosono. Their work appears in journals such as Nature, Cell and Journal of Biological Chemistry.

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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