H Mitsuya

435 citations
10 papers · 361 · h-index 9

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV/AIDS drug development and treatment 4
    • HIV/AIDS Research and Interventions 2
    • HIV Research and Treatment 4

H Mitsuya

10 papers receiving 339 citations

Peers

H Mitsuya
Comparison fields: 5 of 58
  • Virology 139
  • Infectious Diseases 171
  • Agronomy and Crop Science 74
  • Immunology 102
  • Ecology, Evolution, Behavior and Systematics 62
Replace J. Dasnoy with:
J. Dasnoy Belgium
Carla van Tienen United Kingdom
Gary Clements United Kingdom
Julia Casey United Kingdom
Guy Léonard France
Daniela Bernasconi Italy
Ana Machuca Spain
J. Victor Garcia United States
C. M. Nielsen Denmark
C. T. Fang United States
H Mitsuya relative to J. Dasnoy Belgium J. Dasnoy's profile →
Citations per field
00.5×1.5×2.3×
J. Dasnoy · 1×
Citations per year

Countries citing papers authored by H Mitsuya

Since Specialization
Citations

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

Fields of papers citing papers by H Mitsuya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside H Mitsuya, 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 H Mitsuya Line = papers co-authored together H Mitsuya links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 199265
2 199161
3 198658
4 199150
5 198633
6 199028
7 198828
8 199124
9 199713
10 19881

About H Mitsuya

H Mitsuya is a scholar working on Infectious Diseases, Virology, Epidemiology, Organic Chemistry and Ecology, Evolution, Behavior and Systematics, having authored 10 papers that have together received 361 indexed citations. Recurring topics across this work include HIV Research and Treatment (4 papers), HIV/AIDS drug development and treatment (4 papers), Animal Disease Management and Epidemiology (2 papers), HIV/AIDS Research and Interventions (2 papers), T-cell and Retrovirus Studies (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Vector-Borne Animal Diseases (2 papers) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Virology (139 citations), Infectious Diseases (171 citations), Agronomy and Crop Science (74 citations), Immunology (102 citations) and Ecology, Evolution, Behavior and Systematics (62 citations). H Mitsuya has collaborated with scholars based in United States, Malaysia and Japan. Frequent co-authors include S Broder, Robert Yarchoan, Robert Yarchoan, Carlo Federico Perno, Shizuko Sei, M Robert-Guroff, Jane B. Trepel, Samuel Broder, Jeffrey Cossman and Shuzo Matsushita. Their work appears in journals such as Blood, Chemical and Pharmaceutical Bulletin, Scientific American, Journal of Medicinal Chemistry and AIDS Research and Human Retroviruses.

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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