Kunitoshi Imai

3.0k citations
111 papers · 2.5k · h-index 28

Impact in

Papers in

    • Influenza Virus Research Studies 32
    • Virology and Viral Diseases 26
    • Herpesvirus Infections and Treatments 19
    • Respiratory viral infections research 15
    • Viral gastroenteritis research and epidemiology 34

Kunitoshi Imai

107 papers receiving 2.3k citations

Peers

Kunitoshi Imai
Comparison fields: 5 of 112
  • Animal Science and Zoology 908
  • Agronomy and Crop Science 586
  • Infectious Diseases 897
  • Epidemiology 1.5k
  • Microbiology 126
Replace Koichi Otsuki with:
Koichi Otsuki Japan
Kikuyasu Nakamura Japan
Maria Tempesta Italy
Clarice Weis Arns Brazil
Chunfeng Wang China
B. Haas Germany
Guilian Yang China
Paulo Michel Roehe Brazil
Bong‐Kyun Park South Korea
Jui‐Hung Shien Taiwan
Kunitoshi Imai relative to Koichi Otsuki Japan Koichi Otsuki's profile →
Citations per field
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Koichi Otsuki · 1×
Citations per year

Countries citing papers authored by Kunitoshi Imai

Since Specialization
Citations

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

Fields of papers citing papers by Kunitoshi Imai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kunitoshi Imai, 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 Kunitoshi Imai Line = papers co-authored together Kunitoshi Imai 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 1987194
2 2005150
3 2002104
4 199590
5 200974
6 201171
7 198669
8 200667
9 198560
10 200460
11 200857
12 201157
13 200556
14 198755
15 201350
16 199349
17 199839
18 199538
19 200837
20 201336

About Kunitoshi Imai

Kunitoshi Imai is a scholar working on Epidemiology, Infectious Diseases, Animal Science and Zoology, Agronomy and Crop Science and Ecology, Evolution, Behavior and Systematics, having authored 111 papers that have together received 2.5k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (34 papers), Animal Disease Management and Epidemiology (34 papers), Animal Virus Infections Studies (33 papers), Influenza Virus Research Studies (32 papers), Virology and Viral Diseases (26 papers), Herpesvirus Infections and Treatments (19 papers), Vector-Borne Animal Diseases (15 papers) and Respiratory viral infections research (15 papers). The work is most often cited by research in Animal Science and Zoology (908 citations), Agronomy and Crop Science (586 citations), Infectious Diseases (897 citations), Epidemiology (1.5k citations) and Microbiology (126 citations). Kunitoshi Imai has collaborated with scholars based in Japan, Vietnam and United States. Frequent co-authors include Masaji Mase, N. Yuasa, Haruko Ogawa, Shigeo Yamaguchi, Nobuhiko TANIMURA, Kenji Tsukamoto, Vuong Nghia Bui, K. Nakamura, Kikuyasu Nakamura and T. Imada. Their work appears in journals such as Archives of Virology, Avian Diseases, Avian Pathology, Virus Genes and Virology.

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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