M. Nakamura

121 total papers · 1.4k total citations
49 papers, 906 citations indexed

About

M. Nakamura is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, M. Nakamura has authored 49 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Immunology and 7 papers in Infectious Diseases. Recurrent topics in M. Nakamura's work include Glycosylation and Glycoproteins Research (10 papers), Carbohydrate Chemistry and Synthesis (6 papers) and Amoebic Infections and Treatments (4 papers). M. Nakamura is often cited by papers focused on Glycosylation and Glycoproteins Research (10 papers), Carbohydrate Chemistry and Synthesis (6 papers) and Amoebic Infections and Treatments (4 papers). M. Nakamura collaborates with scholars based in Japan, United States and Hungary. M. Nakamura's co-authors include Masaki Saito, Hiroyuki Nojiri, Seiichi Kitagawa, Yusuke Furukawa, James A. DeCaprio, Yuzuru Kanakura, Arnold S. Freedman, James D. Griffin, David M. Livingston and T J Ernst and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

M. Nakamura

45 papers receiving 863 citations

Author Peers

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

Author						Papers	Cites
M. Nakamura	448	164	132	97	91	49	906
Takashi Imamura	333 0.7×	82 0.5×	161 1.2×	33 0.3×	38 0.4×	55	864
Lee Shaw	666 1.5×	202 1.2×	48 0.4×	132 1.4×	38 0.4×	27	1.0k
R. R. Annand	327 0.7×	108 0.7×	48 0.4×	52 0.5×	23 0.3×	30	905
Key‐Sun Kim	572 1.3×	289 1.8×	248 1.9×	45 0.5×	13 0.1×	56	1.0k
Shiqing Yan	280 0.6×	84 0.5×	101 0.8×	22 0.2×	21 0.2×	26	804
Petr Jílek	135 0.3×	327 2.0×	196 1.5×	49 0.5×	24 0.3×	40	783
T Shinoda	444 1.0×	173 1.1×	46 0.3×	32 0.3×	45 0.5×	38	725
Steven R. Hull	669 1.5×	300 1.8×	81 0.6×	180 1.9×	21 0.2×	26	1.0k
D Stibenz	412 0.9×	247 1.5×	90 0.7×	31 0.3×	53 0.6×	53	997
Paul A. LeBlanc	371 0.8×	550 3.4×	103 0.8×	37 0.4×	30 0.3×	37	983

Countries citing papers authored by M. Nakamura

Since Specialization

Citations

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

Fields of papers citing papers by M. Nakamura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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