Mika Okamoto

63 papers receiving 2.0k citations

Mika Okamoto's Hit Papers

A small-molecule, nonpeptide CCR5 antagonist with highly potent and selective anti-HIV-1 activity 1999 · 636 citations
6360+9+18Years since publication200400600

Peers

Mika Okamoto
Comparison fields: 5 of 92
  • Virology 759
  • Infectious Diseases 603
  • Immunology 534
  • Oncology 360
  • Hepatology 90
Replace Hiroo Hoshino with:
Hiroo Hoshino Japan
Manos Perros United Kingdom
Debashis Mitra India
Simon Cocklin United States
Shizuko Sei United States
Kenji Okonogi Japan
Francesca Curreli United States
David J. Clanton United States
R. Datema Germany
Jeng‐Pyng Shaw United States
Mika Okamoto relative to Hiroo Hoshino Japan Hiroo Hoshino's profile →
Citations per field
00.5×
Hiroo Hoshino · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Mika Okamoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mika Okamoto Line = papers co-authored together Mika Okamoto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A small-molecule, nonpeptide CCR5 antagonist with highly potent and selective anti-HIV-1 activity
Hit paper breakdown →
1999636
2 2000153
3 1995125
4 2003113
5 200188
6 200668
7 199859
8 200452
9 200143
10 199937
11 199836
12 200035
13 201633
14 200033
15 201033
16 200831
17 200430
18 202028
19 201023
20 201721

About Mika Okamoto

Mika Okamoto is a scholar working on Infectious Diseases, Virology, Epidemiology, Immunology and Hepatology, having authored 65 papers that have together received 2.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (26 papers), HIV/AIDS drug development and treatment (25 papers), Hepatitis C virus research (12 papers), Cytomegalovirus and herpesvirus research (9 papers), T-cell and Retrovirus Studies (8 papers), Immune Cell Function and Interaction (8 papers), Animal Disease Management and Epidemiology (6 papers) and Hepatitis B Virus Studies (5 papers). The work is most often cited by research in Virology (759 citations), Infectious Diseases (603 citations), Immunology (534 citations), Oncology (360 citations) and Hepatology (90 citations). Mika Okamoto has collaborated with scholars based in Japan, India and Belgium. Frequent co-authors include Masanori Baba, Mitsuru Shiraishi, Masahiko Fujino, Naoyuki Kanzaki, Hidekazu Sawada, Yoshio Aramaki, Osamu Nishimura, Yuji Iizawa, Kenji Okonogi and Yasuaki Ogawa. Their work appears in journals such as Antiviral Research, Antiviral chemistry & chemotherapy, Antimicrobial Agents and Chemotherapy, AIDS Research and Human Retroviruses and Biochemical and Biophysical Research Communications.

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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