Akito Nakamura

740 total citations
16 papers, 587 citations indexed

About

Akito Nakamura is a scholar working on Oncology, Molecular Biology and Small Animals. According to data from OpenAlex, Akito Nakamura has authored 16 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Molecular Biology and 4 papers in Small Animals. Recurrent topics in Akito Nakamura's work include Chemokine receptors and signaling (3 papers), Coccidia and coccidiosis research (3 papers) and Veterinary medicine and infectious diseases (3 papers). Akito Nakamura is often cited by papers focused on Chemokine receptors and signaling (3 papers), Coccidia and coccidiosis research (3 papers) and Veterinary medicine and infectious diseases (3 papers). Akito Nakamura collaborates with scholars based in Japan and United States. Akito Nakamura's co-authors include Naoya Fujita, Yoshiyuki Ohsugi, Makoto Okazaki, Shigeto Kawai, Masamichi Sugimoto, Yoshihiro Matsumoto, Masahiko Mihara, Hiroyuki Arai, Kazuo Nagai and Kunio Ando and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Cell Biology and Blood.

In The Last Decade

Akito Nakamura

16 papers receiving 564 citations

Peers

Akito Nakamura
Comparison fields: 5 of 99
  • Molecular Biology 227
  • Oncology 133
  • Rheumatology 120
  • Immunology 102
  • Hematology 88
Replace Jalal A. Jazayeri with:
Jalal A. Jazayeri Australia
Joseph W. Hoffmann United States
Roderick M. Farb United States
Yoshiyuki Kanai Japan
Amel Benammar Elgaaïed Tunisia
Keun‐Cheol Kim South Korea
Iset Vera United States
R F Weber United States
Xiangyong Li China
Jalal A. Jazayeri Australia View profile →
Citations per field, relative to Akito Nakamura
Akito Nakamura · 1×
Citations per year, relative to Akito Nakamura
Akito Nakamura · 1×

Countries citing papers authored by Akito Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Akito Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akito Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Akito Nakamura. A scholar is included among the top collaborators of Akito 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 Akito Nakamura. Akito Nakamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 1
2 17
3 4
4 9
5 76
6 57
7 258
8 47
9 5
10 8
11 1
12 4
13 6
14 9
15 36
16 49

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