Munehide Kano

692 citations
24 papers · 541 · h-index 12

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

Munehide Kano

24 papers receiving 519 citations

Peers

Munehide Kano
Comparison fields: 5 of 66
  • Virology 306
  • Immunology 229
  • Infectious Diseases 163
  • Epidemiology 170
  • Genetics 71
Replace Joseph M. Gibbons with:
Joseph M. Gibbons United Kingdom
Petra Mooij Netherlands
S L Spruance United States
R.A. Ferriani Brazil
D Böttiger Sweden
Jan P. Dudley United States
S P O'Neil United States
Sucheep Piyasirisilp United States
Marie‐Paule Schmitt France
Munehide Kano relative to Joseph M. Gibbons United Kingdom Joseph M. Gibbons's profile →
Citations per field
00.5×
Joseph M. Gibbons · 1×
Citations per year

Countries citing papers authored by Munehide Kano

Since Specialization
Citations

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

Fields of papers citing papers by Munehide Kano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004167
2 200175
3 200354
4 200535
5 200225
6 200623
7
Effects of procollagen C-proteinase enhancer protein on the growth of cultured rat fibroblasts revealed by an excisable retroviral vector.
199821
8 200019
9 201318
10 199216
11 200515
12 200412
13 202010
14 200810
15 20129
16 20189
17 20036
18 20194
19 19984
20 20243

About Munehide Kano

Munehide Kano is a scholar working on Virology, Epidemiology, Immunology, Genetics and Infectious Diseases, having authored 24 papers that have together received 541 indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), Virology and Viral Diseases (7 papers), Immune Cell Function and Interaction (6 papers), Virus-based gene therapy research (5 papers), Vaccine Coverage and Hesitancy (3 papers), RNA Interference and Gene Delivery (3 papers), HIV/AIDS Research and Interventions (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Virology (306 citations), Immunology (229 citations), Infectious Diseases (163 citations), Epidemiology (170 citations) and Genetics (71 citations). Munehide Kano has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Yoshiyuki Nagai, Tetsuro Matano, Hiromi Nakamura, Akiko Takeda, Hiroko Igarashi, Mamoru Hasegawa, Akihiro Iida, Takahiro Hirata, Kazuyasu Mori and Chie Sugimoto. Their work appears in journals such as Journal of Virology, Vaccine, Journal of General Virology, The Journal of Antibiotics and Journal of Medical 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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