Mitsuo Maruyama

5.4k total citations · 2 hit papers
61 papers, 4.7k citations indexed

About

Mitsuo Maruyama is a scholar working on Molecular Biology, Immunology and Physiology. According to data from OpenAlex, Mitsuo Maruyama has authored 61 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 21 papers in Immunology and 15 papers in Physiology. Recurrent topics in Mitsuo Maruyama's work include Immune Cell Function and Interaction (8 papers), Telomeres, Telomerase, and Senescence (7 papers) and T-cell and B-cell Immunology (7 papers). Mitsuo Maruyama is often cited by papers focused on Immune Cell Function and Interaction (8 papers), Telomeres, Telomerase, and Senescence (7 papers) and T-cell and B-cell Immunology (7 papers). Mitsuo Maruyama collaborates with scholars based in Japan, United States and France. Mitsuo Maruyama's co-authors include Tadatsugu Taniguchi, Takashi Fujita, Yoko Kimura, Hisashi Harada, Takashi Miyata, Masaaki Miyamoto, Masanobu Satake, Katsuya Shigesada, E. Ogawa and Yoshiaki Ito and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Mitsuo Maruyama

61 papers receiving 4.6k citations

Hit Papers

Regulated expression of a gene encoding a nuclear factor,... 1988 2026 2000 2013 1988 1989 250 500 750

Peers

Mitsuo Maruyama
Comparison fields: 5 of 108
  • Immunology 2.4k
  • Molecular Biology 2.1k
  • Oncology 1.3k
  • Cancer Research 614
  • Hematology 611
Replace Shoichiro Miyatake with:
Shoichiro Miyatake Japan
Kazuhiro Morishita Japan
Jian‐Xin Lin United States
David C. Scherer United States
Susanne Berchtold Germany
Della Friend United States
Bruce Mosley United States
Andrew C. Webb United States
Hisayuki Nomiyama Japan
Michiyuki Maeda Japan
Shoichiro Miyatake Japan View profile →
Citations per field, relative to Mitsuo Maruyama
Mitsuo Maruyama · 1×
Citations per year, relative to Mitsuo Maruyama
Mitsuo Maruyama · 1×

Countries citing papers authored by Mitsuo Maruyama

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuo Maruyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuo Maruyama

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuo Maruyama. A scholar is included among the top collaborators of Mitsuo Maruyama 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 Mitsuo Maruyama. Mitsuo Maruyama 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
# Work Indexed citations
1 4
2 7
3 9
4 29
5 4
6 67
7 16
8 5
9 9
10 32
11 1
12 24
13 4
14 16
15 15
16 61
17 25
18 244
19 17
20
Regulated expression of a gene encoding a nuclear factor, IRF-1, that specifically binds to IFN-β gene regulatory elements breakdown →
891

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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