Kinya Nagata

6.6k total citations · 2 hit papers
66 papers, 5.5k citations indexed

About

Kinya Nagata is a scholar working on Immunology, Physiology and Molecular Biology. According to data from OpenAlex, Kinya Nagata has authored 66 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Immunology, 15 papers in Physiology and 10 papers in Molecular Biology. Recurrent topics in Kinya Nagata's work include Asthma and respiratory diseases (14 papers), T-cell and B-cell Immunology (14 papers) and Immune Cell Function and Interaction (12 papers). Kinya Nagata is often cited by papers focused on Asthma and respiratory diseases (14 papers), T-cell and B-cell Immunology (14 papers) and Immune Cell Function and Interaction (12 papers). Kinya Nagata collaborates with scholars based in Japan, United States and Italy. Kinya Nagata's co-authors include Hiroyuki Hirai, Masataka Nakamura, Shoichi Takano, Kazuya Tanaka, Kazuo Sugamura, Kazuyuki Ogawa, Tadaatsu Akagi, Ichiro Kubonishi, S Yoshimoto and Yorio Hinuma and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and Journal of Neuroscience.

In The Last Decade

Kinya Nagata

66 papers receiving 5.2k citations

Hit Papers

Type C virus particles in a cord T-cell line derived by c... 1981 2026 1996 2011 1981 2001 400 800 1.2k

Peers

Kinya Nagata
Comparison fields: 5 of 115
  • Immunology 3.2k
  • Physiology 1.5k
  • Molecular Biology 1.1k
  • Agronomy and Crop Science 924
  • Ecology, Evolution, Behavior and Systematics 828
Replace Shoichiro Miyatake with:
Shoichiro Miyatake Japan
Susanne Berchtold Germany
Toshiaki Kawakami United States
Mitsuo Maruyama Japan
Thomas Leist United States
Jian‐Xin Lin United States
Faruk Sheikh United States
Joel S. Hayflick United States
G H Wong United States
Tomohiko Tamura Japan
Shoichiro Miyatake Japan View profile →
Citations per field, relative to Kinya Nagata
Kinya Nagata · 1×
Citations per year, relative to Kinya Nagata
Kinya Nagata · 1×

Countries citing papers authored by Kinya Nagata

Since Specialization
Citations

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

Fields of papers citing papers by Kinya Nagata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kinya Nagata

This figure shows the co-authorship network connecting the top 25 collaborators of Kinya Nagata. A scholar is included among the top collaborators of Kinya Nagata 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 Kinya Nagata. Kinya Nagata 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 11
2 16
3 19
4 15
5 60
6 74
7 92
8 62
9 27
10 23
11 124
12 73
13 78
14 10
15 37
16 14
17
Prostaglandin D2 Selectively Induces Chemotaxis in T Helper Type 2 Cells, Eosinophils, and Basophils via Seven-Transmembrane Receptor Crth2 breakdown →
890
18 179
19 71
20 9

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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2026