M. NAKAYAMA

181 total papers · 5.0k total citations
89 papers, 4.2k citations indexed

About

M. NAKAYAMA is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, M. NAKAYAMA has authored 89 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 32 papers in Immunology and 20 papers in Cancer Research. Recurrent topics in M. NAKAYAMA's work include Immune Cell Function and Interaction (16 papers), NF-κB Signaling Pathways (12 papers) and T-cell and B-cell Immunology (10 papers). M. NAKAYAMA is often cited by papers focused on Immune Cell Function and Interaction (16 papers), NF-κB Signaling Pathways (12 papers) and T-cell and B-cell Immunology (10 papers). M. NAKAYAMA collaborates with scholars based in Japan, Canada and United States. M. NAKAYAMA's co-authors include Ko Okumura, Hideo Yagita∥, Noriko Yamaguchi, Nobuhiko Kayagaki, Kazuyoshi Takeda, Yuko Kojima, Hisaya Akiba, Hiroyasu Nakano, Kouetsu Ogasawara and Hiroshi Eto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

M. NAKAYAMA

86 papers receiving 4.1k 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. NAKAYAMA 2.2k 1.8k 1.0k 722 269 89 4.2k
Nataša Obermajer 1.9k 0.9× 1.3k 0.7× 594 0.6× 957 1.3× 212 0.8× 73 4.1k
Seyed‐Alireza Esmaeili 2.3k 1.1× 2.0k 1.1× 584 0.6× 703 1.0× 488 1.8× 97 5.5k
James Varani 1.3k 0.6× 2.5k 1.4× 767 0.8× 859 1.2× 338 1.3× 123 7.1k
Xueqing Zhang 1.1k 0.5× 1.7k 0.9× 835 0.8× 566 0.8× 266 1.0× 66 3.4k
Jarosław Baran 1.2k 0.5× 1.9k 1.0× 925 0.9× 466 0.6× 150 0.6× 109 4.0k
Shaopeng Yuan 1.5k 0.7× 1.8k 1.0× 484 0.5× 689 1.0× 228 0.8× 61 4.7k
Barbara Carnemolla 1.9k 0.9× 3.2k 1.7× 892 0.9× 1.7k 2.3× 210 0.8× 68 7.4k
Mark D. Hulett 2.2k 1.0× 4.8k 2.6× 958 1.0× 529 0.7× 340 1.3× 126 7.5k
Jorge Lloberas 1.8k 0.8× 2.4k 1.3× 366 0.4× 729 1.0× 535 2.0× 77 5.3k
Qingqing Wang 1.9k 0.9× 2.6k 1.4× 1.3k 1.3× 716 1.0× 362 1.3× 126 5.0k

Countries citing papers authored by M. NAKAYAMA

Since Specialization
Citations

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

Fields of papers citing papers by M. NAKAYAMA

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. NAKAYAMA

This figure shows the co-authorship network connecting the top 25 collaborators of M. NAKAYAMA. A scholar is included among the top collaborators of M. NAKAYAMA 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. NAKAYAMA. M. NAKAYAMA 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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