T. Mikami

2.2k citations
111 papers · 1.9k · h-index 26

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
    • Toxoplasma gondii Research Studies

Papers in

    • Herpesvirus Infections and Treatments 63
    • Cytomegalovirus and herpesvirus research 11
    • Virus-based gene therapy research 40

T. Mikami

109 papers receiving 1.8k citations

Peers

T. Mikami
Comparison fields: 5 of 76
  • Virology 806
  • Parasitology 284
  • Epidemiology 1.1k
  • Genetics 730
  • Animal Science and Zoology 239
Replace David B. Boyle with:
David B. Boyle Australia
H.‐J. Rziha Germany
K. A. Schat United States
K. Nazerian United States
Susan Payne United States
Jon B. Huder Switzerland
Gregg A. Dean United States
Gustavo Delhon United States
Daniel Adams United States
Sanjay M. Reddy United States
T. Mikami relative to David B. Boyle Australia David B. Boyle's profile →
Citations per field
00.5×2.7×
David B. Boyle · 1×
Citations per year

Countries citing papers authored by T. Mikami

Since Specialization
Citations

This map shows the geographic impact of T. Mikami'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 T. Mikami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Mikami more than expected).

Fields of papers citing papers by T. Mikami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199280
2 199172
3 199170
4 200169
5 199261
6 199449
7 199147
8 199046
9 200145
10 199845
11 199333
12 199333
13 197831
14 199630
15 199330
16 199630
17 199329
18 199429
19 199227
20 200227

About T. Mikami

T. Mikami is a scholar working on Epidemiology, Genetics, Virology, Immunology and Agronomy and Crop Science, having authored 111 papers that have together received 1.9k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (63 papers), Virus-based gene therapy research (40 papers), HIV Research and Treatment (39 papers), Animal Disease Management and Epidemiology (15 papers), Cytomegalovirus and herpesvirus research (11 papers), T-cell and Retrovirus Studies (10 papers), Toxoplasma gondii Research Studies (10 papers) and Animal Virus Infections Studies (9 papers). The work is most often cited by research in Virology (806 citations), Parasitology (284 citations), Epidemiology (1.1k citations), Genetics (730 citations) and Animal Science and Zoology (239 citations). T. Mikami has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takayuki Miyazawa, Yasushi Kawaguchi, Yukinobu Tohya, Keizō Tomonaga, Ken Maeda, Masashi Fukasawa, Hiroshi Kodama, Atsuhiko Hasegawa, H. Izawa and Norio Maki. Their work appears in journals such as Archives of Virology, Journal of General Virology, Journal of Virology, Biological and Pharmaceutical Bulletin and Avian Diseases.

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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