Mamoru Yanagimachi

605 total citations
12 papers, 499 citations indexed

About

Mamoru Yanagimachi is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Mamoru Yanagimachi has authored 12 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Surgery. Recurrent topics in Mamoru Yanagimachi's work include Computational Drug Discovery Methods (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Plant biochemistry and biosynthesis (3 papers). Mamoru Yanagimachi is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and Plant biochemistry and biosynthesis (3 papers). Mamoru Yanagimachi collaborates with scholars based in Japan and United States. Mamoru Yanagimachi's co-authors include Pavan Kumar, Zoltán Dezső, Judy Oestreicher, Michael Byrne, Crystal MacKenzie, Ken Aoshima, Sergei Agoulnik, Yoshiya Oda, François P. Bernier and Masashi Ito and has published in prestigious journals such as PLoS ONE, Circulation Research and Cancer Research.

In The Last Decade

Mamoru Yanagimachi

12 papers receiving 491 citations

Peers

Mamoru Yanagimachi
Comparison fields: 5 of 74
  • Molecular Biology 307
  • Cancer Research 255
  • Surgery 96
  • Physiology 77
  • Computational Theory and Mathematics 43
Replace Shushan Yan with:
Shushan Yan China
Ho-Jeong Lee South Korea
Dazhi Liu United States
Jun Zheng China
Madankumar Ghatge United States
Yasufumi Sakura Japan
Guowei Shi China
Xue‐Jiao Xie China
Shaobing Cheng China
Shushan Yan China View profile →
Citations per field, relative to Mamoru Yanagimachi
Mamoru Yanagimachi · 1×
Citations per year, relative to Mamoru Yanagimachi
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Countries citing papers authored by Mamoru Yanagimachi

Since Specialization
Citations

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

Fields of papers citing papers by Mamoru Yanagimachi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mamoru Yanagimachi

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 4
2 306
3 1
4 1
5 2
6 2
7 38
8 27
9 53
10 44
11 10
12 11

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