Masataka Nakamura

6.1k citations
95 papers · 4.8k indexed · 1 hit paper · h-index 37
Topics
T-cell and Retrovirus Studies (13 papers)Asthma and respiratory diseases (13 papers)Immune Response and Inflammation (11 papers)

In The Last Decade

Masataka Nakamura

93 papers receiving 4.6k citations

Hit Papers

Prostaglandin D2 Selectively Induces Chemotaxis in T Help...20012026200920172001250500750

Peers

Masataka Nakamura
Comparison fields: 5 of 137
  • Immunology 2.1k
  • Molecular Biology 1.4k
  • Physiology 1.2k
  • Pharmacology 801
  • Oncology 563
Replace Kinya Nagata with:
Kinya Nagata Japan
Isao Kitajima Japan
Takeshi Tokuhisa Japan
Masahiko Hatano Japan
Ji Ming Wang United States
Wen‐Chen Yeh Canada
Philip E. Auron United States
S B Mizel United States
Shizuo Akira Japan
Mark Boothby United States
Masataka Nakamura relative to Kinya Nagata Japan Kinya Nagata's profile →
Citations per field
00.5×1.5×
Kinya Nagata · 1×
Citations per year

Countries citing papers authored by Masataka Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Masataka Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masataka Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Masataka Nakamura. A scholar is included among the top collaborators of Masataka 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 Masataka Nakamura. Masataka Nakamura 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
#WorkIndexed citations
1 16
2 21
3 15
4 19
5 0
6 1
7 1
8 48
9 47
10 1
11 50
12 60
13 45
14 27
15 124
16 37
17 20
18 39
19 179
20 2

About Masataka Nakamura

Masataka Nakamura is a scholar working on Immunology, Agronomy and Crop Science and Immunology and Allergy, having authored 95 papers that have together received 4.8k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (13 papers), Asthma and respiratory diseases (13 papers) and Immune Response and Inflammation (11 papers). The work is most often cited by research in Immunology (2.1k citations), Immunology and Allergy (448 citations) and Pharmacology (801 citations). Masataka Nakamura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kinya Nagata, Kazuo Sugamura, Shoichi Takano, Kazuya Tanaka, Hiroyuki Hirai, Kazuyuki Ogawa, Kiyoshi Ohtani, Osamu Yoshie, Michiko Ichimasa and Yasushi Takamori. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

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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