Koichi Matsuda

37.9k total citations · 5 hit papers
251 papers, 11.6k citations indexed

About

Koichi Matsuda is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Koichi Matsuda has authored 251 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Molecular Biology, 50 papers in Genetics and 43 papers in Oncology. Recurrent topics in Koichi Matsuda's work include Genetic Associations and Epidemiology (29 papers), Epigenetics and DNA Methylation (19 papers) and Cancer-related Molecular Pathways (18 papers). Koichi Matsuda is often cited by papers focused on Genetic Associations and Epidemiology (29 papers), Epigenetics and DNA Methylation (19 papers) and Cancer-related Molecular Pathways (18 papers). Koichi Matsuda collaborates with scholars based in Japan, United States and United Kingdom. Koichi Matsuda's co-authors include Chizu Tanikawa, Michiaki Kubo, Yoichiro Kamatani, Yusuke Nakamura, Atsushi Takahashi, Naoyuki Kamatani, Yukinori Okada, Hirofumi Arakawa, Yusuke Nakamura and Naoya Hosono and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Koichi Matsuda

235 papers receiving 11.4k citations

Hit Papers

p53AIP1, a Potential Mediator of p53-Dependent Apoptosis,... 2000 2026 2008 2017 2000 2004 2004 2013 2018 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Koichi Matsuda Japan 56 5.7k 2.4k 2.1k 1.7k 1.7k 251 11.6k
Ross S. Berkowitz United States 66 4.6k 0.8× 2.7k 1.1× 1.5k 0.7× 1.0k 0.6× 2.2k 1.3× 445 18.7k
Ann L. Oberg United States 62 4.4k 0.8× 2.8k 1.2× 1.2k 0.6× 1.4k 0.8× 1.7k 1.0× 197 11.7k
Fredrik Pontén Sweden 60 8.3k 1.5× 3.7k 1.5× 1.1k 0.5× 1.1k 0.7× 2.8k 1.7× 272 14.2k
Kurt Werner Schmid Germany 62 5.3k 0.9× 3.1k 1.3× 1.4k 0.7× 1.6k 0.9× 1.9k 1.1× 461 14.4k
David L. Huso United States 64 7.9k 1.4× 2.8k 1.2× 4.0k 1.9× 917 0.5× 2.2k 1.3× 155 15.3k
Dennis E. Hallahan United States 66 6.5k 1.2× 3.2k 1.3× 1.0k 0.5× 668 0.4× 1.9k 1.1× 267 13.3k
Jin Chen China 63 8.1k 1.4× 2.6k 1.1× 1.0k 0.5× 728 0.4× 1.8k 1.1× 354 14.2k
Toshiaki Watanabe Japan 48 6.0k 1.1× 1.5k 0.6× 1.4k 0.6× 788 0.5× 2.0k 1.2× 262 10.7k
Susumu Itoh Japan 50 7.9k 1.4× 2.4k 1.0× 945 0.4× 662 0.4× 1.1k 0.7× 341 13.6k
Adriana Heguy United States 60 6.9k 1.2× 3.2k 1.3× 1.1k 0.5× 802 0.5× 2.9k 1.7× 178 14.0k

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
2.
Baba, Shiro, Koichi Matsuda, Takeshi Yoshida, et al.. (2025). Atrioventricular Block in a Pompe Disease Patient Receiving Enzyme Replacement Therapy. JACC Case Reports. 30(22). 104569–104569.
3.
Usui, Yoshiaki, Mikiko Endo, Yusuke Iwasaki, et al.. (2025). Clinical Significance of TP53 -Mutant Clonal Hematopoiesis Across Diseases. Blood Cancer Discovery. 6(4). 298–306.
4.
Fukuhara, Shinichiro, T. Imanaka, Koichi Okada, et al.. (2024). KEAP1NRF2 system regulates age‐related spermatogenesis dysfunction. Reproductive Medicine and Biology. 23(1). e12595–e12595. 4 indexed citations
5.
Motoi, Toru, Makoto Hirata, Yoji Kukita, et al.. (2023). KDM2B-Rearranged Soft Tissue Sarcomas Expand the Concept of BCOR-Associated Sarcoma. Modern Pathology. 36(11). 100317–100317. 1 indexed citations
6.
Akiyama, Masato, Saori Sakaue, Atsushi Takahashi, et al.. (2023). Genome-wide association study reveals BET1L associated with survival time in the 137,693 Japanese individuals. Communications Biology. 6(1). 143–143. 2 indexed citations
7.
Li, Yu, Xue Zhong, Kanix Wang, et al.. (2023). The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci. Nature Computational Science. 3(5). 403–417. 4 indexed citations
8.
Zang, Liqing, Keiichi Hiramoto, Yasuhito Shimada, et al.. (2023). Oral Administration of Rhamnan Sulfate from Monostroma nitidum Suppresses Atherosclerosis in ApoE-Deficient Mice Fed a High-Fat Diet. Cells. 12(22). 2666–2666. 5 indexed citations
9.
Usui, Yoshiaki, Yusuke Iwasaki, Keitaro Matsuo, et al.. (2022). Association between germline pathogenic variants in cancer‐predisposing genes and lymphoma risk. Cancer Science. 113(11). 3972–3979. 8 indexed citations
10.
Iwasaki, Yusuke, Todd A. Johnson, Chihiro Inai, et al.. (2022). Hereditary cancer variants and homologous recombination deficiency in biliary tract cancer. Journal of Hepatology. 78(2). 333–342. 18 indexed citations
11.
Rojsitthisak, Pornchai, et al.. (2021). Collagen XVII inhibits breast cancer cell proliferation and growth through deactivation of the AKT/mTOR signaling pathway. PLoS ONE. 16(7). e0255179–e0255179. 25 indexed citations
12.
Okada, Yukinori, Yukihide Momozawa, Saori Sakaue, et al.. (2018). Deep whole-genome sequencing reveals recent selection signatures linked to evolution and disease risk of Japanese. Nature Communications. 9(1). 1631–1631. 84 indexed citations
13.
Tsuda, Yusuke, Chizu Tanikawa, Takafumi Miyamoto, et al.. (2017). Identification of a p53 target, CD137L, that mediates growth suppression and immune response of osteosarcoma cells. Scientific Reports. 7(1). 10739–10739. 4 indexed citations
14.
Yamamoto, Yuki, Mamiko Miyamoto, Michiaki Kubo, et al.. (2014). A Rare Polymorphic Variant of NBS1 Reduces DNA Repair Activity and Elevates Chromosomal Instability. Cancer Research. 74(14). 3707–3715. 8 indexed citations
15.
Wang, Jiping, Luis G. Carvajal‐Carmona, J Chu, et al.. (2013). Germline Variants and Advanced Colorectal Adenomas: Adenoma Prevention with Celecoxib Trial Genome-wide Association Study. Clinical Cancer Research. 19(23). 6430–6437. 8 indexed citations
16.
Tanikawa, Chizu, Yukinori Okada, Atsushi Takahashi, et al.. (2013). Correction: Genome Wide Association Study of Age at Menarche in the Japanese Population. PLoS ONE. 8(10). 12 indexed citations
17.
Daigo, Yataro, et al.. (2012). Critical Function for Nuclear Envelope Protein TMEM209 in Human Pulmonary Carcinogenesis. Cancer Research. 72(16). 4110–4118. 30 indexed citations
18.
Tanikawa, Chizu, Koji Ueda, Hidewaki Nakagawa, et al.. (2009). Regulation of Protein Citrullination through p53/PADI4 Network in DNA Damage Response. Cancer Research. 69(22). 8761–8769. 107 indexed citations
19.
Obana, Masanori, Makiko Maeda, Yasuhiro Yamamoto, et al.. (2007). Abstract 1282: Interleukin-11 Prevents Cardiac Remodeling after Myocardial Infarction with Neovascularization in Murine Model.. Circulation. 116.
20.
Matsuda, Koichi. (1977). [Identification of the epidural space using a drip infusion set].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 26(8). 956–7. 3 indexed citations

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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