Mika Okamoto

2.5k total citations · 1 hit paper
65 papers, 2.0k citations indexed

About

Mika Okamoto is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Mika Okamoto has authored 65 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Infectious Diseases, 27 papers in Virology and 19 papers in Epidemiology. Recurrent topics in Mika Okamoto's work include HIV/AIDS drug development and treatment (27 papers), HIV Research and Treatment (27 papers) and Hepatitis C virus research (13 papers). Mika Okamoto is often cited by papers focused on HIV/AIDS drug development and treatment (27 papers), HIV Research and Treatment (27 papers) and Hepatitis C virus research (13 papers). Mika Okamoto collaborates with scholars based in Japan, India and United States. Mika Okamoto's co-authors include Masanori Baba, Osamu Nishimura, Masahiko Fujino, Naoyuki Kanzaki, Yoshio Aramaki, Hidekazu Sawada, Mitsuru Shiraishi, Yuji Iizawa, Kenji Okonogi and Kanji Meguro and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Physical Chemistry B.

In The Last Decade

Mika Okamoto

62 papers receiving 2.0k citations

Hit Papers

A small-molecule, nonpeptide CCR5 antagonist with highly ... 1999 2026 2008 2017 1999 200 400 600

Peers

Mika Okamoto
Comparison fields: 5 of 93
  • Virology 801
  • Infectious Diseases 661
  • Molecular Biology 642
  • Immunology 573
  • Oncology 383
Replace Debashis Mitra with:
Debashis Mitra India
Manos Perros United Kingdom
Hiroo Hoshino Japan
Alonso Heredia United States
Jeng‐Pyng Shaw United States
Kenji Okonogi Japan
Janet L. Rideout United States
Patrick Dorr United Kingdom
Simon Cocklin United States
R. Datema Germany
Debashis Mitra India View profile →
Citations per field, relative to Mika Okamoto
Mika Okamoto · 1×
Citations per year, relative to Mika Okamoto
Mika Okamoto · 1×

Countries citing papers authored by Mika Okamoto

Since Specialization
Citations

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

Fields of papers citing papers by Mika Okamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mika Okamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Mika Okamoto. A scholar is included among the top collaborators of Mika Okamoto 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 Mika Okamoto. Mika Okamoto 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 0
2 1
3 28
4 4
5 17
6 13
7
Synergistic inhibition of HTLV-1-infected cell proliferation by combination of cepharanthine and a tetramethylnaphthalene derivative.
14
8 18
9 10
10 16
11 30
12 113
13 43
14 33
15 35
16 36
17 59
18 1
19 12
20 125

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