M. Hayami

433 citations
11 papers · 321 · h-index 8

Impact in

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

Papers in

    • HIV/AIDS Research and Interventions 5
    • HIV/AIDS drug development and treatment 3
    • HIV Research and Treatment 6

M. Hayami

11 papers receiving 315 citations

Peers

M. Hayami
Comparison fields: 5 of 39
  • Virology 172
  • Infectious Diseases 86
  • Immunology 71
  • Epidemiology 98
  • Molecular Biology 128
Replace Klaus Dieter Jentsch with:
Klaus Dieter Jentsch Germany
Michael Vaine United States
Sheikh Abdul Rahman United States
Diana Edo-Matas Netherlands
Xiaomi Xin Japan
Su Jung Yang United States
Mandaleshwar K. Singh United States
Paula Ellenberg Australia
Nika M. Strokappe Netherlands
Steve Norley Germany
M. Hayami relative to Klaus Dieter Jentsch Germany Klaus Dieter Jentsch's profile →
Citations per field
00.5×4.5×
Klaus Dieter Jentsch · 1×
Citations per year

Countries citing papers authored by M. Hayami

Since Specialization
Citations

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

Fields of papers citing papers by M. Hayami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 200878
2 199261
3 199559
4 199735
5 200629
6 198921
7 199613
8 20098
9 20127
10 19885
11
Characterization of simian retrovirus genome related to human T-cell leukemia virus type I.
19845

About M. Hayami

M. Hayami is a scholar working on Infectious Diseases, Virology, Molecular Biology, Epidemiology and Immunology, having authored 11 papers that have together received 321 indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), HIV/AIDS Research and Interventions (5 papers), HIV/AIDS drug development and treatment (3 papers), RNA and protein synthesis mechanisms (3 papers), Herpesvirus Infections and Treatments (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), RNA modifications and cancer (2 papers) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Virology (172 citations), Infectious Diseases (86 citations), Immunology (71 citations), Epidemiology (98 citations) and Molecular Biology (128 citations). M. Hayami has collaborated with scholars based in Japan, Germany and Indonesia. Frequent co-authors include Yasuhiro Aoyama, Shinsuke Sando, Atsushi Narita, Tatsuhiko Igarashi, Takeo Kuwata, Toshihiko Komatsu, R Mukai, Akio Adachi, Riri Shibata and Eiji Ido. Their work appears in journals such as Journal of General Virology, Bioorganic & Medicinal Chemistry Letters, Chemical Communications, Journal of Nucleic Acids and Zeitschrift für Naturforschung C.

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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