M Matsubara

40 total papers · 1.3k total citations
17 papers, 1.0k citations indexed

About

M Matsubara is a scholar working on Molecular Biology, Epidemiology and Endocrine and Autonomic Systems. According to data from OpenAlex, M Matsubara has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Endocrine and Autonomic Systems. Recurrent topics in M Matsubara's work include DNA Repair Mechanisms (7 papers), DNA and Nucleic Acid Chemistry (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). M Matsubara is often cited by papers focused on DNA Repair Mechanisms (7 papers), DNA and Nucleic Acid Chemistry (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). M Matsubara collaborates with scholars based in Japan, United States and South Korea. M Matsubara's co-authors include Shinji Katayose, Shuichiro Maruoka, Hiroshi Ide, Hiroaki Terato, Atsushi Katafuchi, Keisuke Makino, Seung Pil Pack, Toshiaki Nakano, Aya Masaoka and Yoshihiko Ohyama and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Molecular Cell.

In The Last Decade

M Matsubara

16 papers receiving 977 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M Matsubara 475 413 285 226 105 17 1.0k
Winston Chu 471 1.0× 357 0.9× 364 1.3× 89 0.4× 77 0.7× 22 1.1k
Eva Sjölin 388 0.8× 414 1.0× 642 2.3× 94 0.4× 104 1.0× 15 1.1k
Aruna Battu 377 0.8× 535 1.3× 279 1.0× 160 0.7× 69 0.7× 13 1.1k
Margit Klier 386 0.8× 559 1.4× 449 1.6× 173 0.8× 76 0.7× 26 1.2k
Nicole H. Rogers 275 0.6× 314 0.8× 444 1.6× 117 0.5× 59 0.6× 15 1000
Eric Dusserre 373 0.8× 359 0.9× 390 1.4× 108 0.5× 100 1.0× 21 1.1k
Scott D. Covey 344 0.7× 330 0.8× 396 1.4× 401 1.8× 83 0.8× 25 1.2k
Kerstin Wåhlén 229 0.5× 404 1.0× 431 1.5× 108 0.5× 60 0.6× 14 934
Xabier Unamuno 284 0.6× 391 0.9× 397 1.4× 82 0.4× 67 0.6× 20 997
Naoto Kubota 320 0.7× 788 1.9× 530 1.9× 267 1.2× 88 0.8× 14 1.2k

Countries citing papers authored by M Matsubara

Since Specialization
Citations

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

Fields of papers citing papers by M Matsubara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Matsubara

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

All Works

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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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