Hitoshi Nagaoka

5.4k citations
70 papers · 4.4k indexed · 2 hit papers · h-index 33
Topics
T-cell and B-cell Immunology (27 papers)Immune Cell Function and Interaction (18 papers)Cytomegalovirus and herpesvirus research (9 papers)

In The Last Decade

Hitoshi Nagaoka

69 papers receiving 4.4k citations

Hit Papers

Critical Roles of Activation-Induced Cytidine Deaminase i...199320262004201520021993100200300400

Peers

Hitoshi Nagaoka
Comparison fields: 5 of 107
  • Immunology 2.9k
  • Molecular Biology 1.8k
  • Radiology, Nuclear Medicine and Imaging 582
  • Oncology 536
  • Epidemiology 513
Replace Anne L. Burkhardt with:
Anne L. Burkhardt United States
Wendy F. Davidson United States
Arthur E. Frankel United States
Nobumichi Hozumi Canada
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J M Depper United States
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Hitoshi Nagaoka relative to Anne L. Burkhardt United States Anne L. Burkhardt's profile →
Citations per field
00.5×5.9×
Anne L. Burkhardt · 1×
Citations per year

Countries citing papers authored by Hitoshi Nagaoka

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Nagaoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitoshi Nagaoka

This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Nagaoka. A scholar is included among the top collaborators of Hitoshi Nagaoka 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 Hitoshi Nagaoka. Hitoshi Nagaoka 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 0
2 6
3 4
4 3
5 69
6 5
7 9
8 31
9 92
10 76
11 91
12 312
13 162
14 36
15 9
16 117
17 31
18
Structure and physical map of 64 variable segments in the 3′ 0.8–megabase region of the human immunoglobulin heavy–chain locusbreakdown →
276
19 7
20 102

About Hitoshi Nagaoka

Hitoshi Nagaoka is a scholar working on Immunology, Immunology and Allergy and Molecular Biology, having authored 70 papers that have together received 4.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (27 papers), Immune Cell Function and Interaction (18 papers) and Cytomegalovirus and herpesvirus research (9 papers). The work is most often cited by research in Immunology (2.9k citations), Genetics (385 citations) and Molecular Biology (1.8k citations). Hitoshi Nagaoka has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Tasuku Honjo, Masamichi Muramatsu, Kazuo Kinoshita, Reiko Shinkura, Nasim A. Begum, Sidonia Fagarasan, Keiichiro Suzuki, Michel C. Nussenzweig, Satomi Ito and Il‐mi Okazaki. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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