Kazuyasu Mori

4.0k citations
57 papers · 3.4k indexed · 1 hit paper · h-index 26
  • Virology top 0.1%
    • HIV Research and Treatment 46
  • Immunology top 1%
    • Immune Cell Function and Interaction 21
    • T-cell and B-cell Immunology 14
    • Immunotherapy and Immune Responses 5
    • HIV/AIDS Research and Interventions 14
    • HIV/AIDS drug development and treatment 12
    • Cytomegalovirus and herpesvirus research 11
  • Neurology top 10%
    • Bacteriophages and microbial interactions 4

Kazuyasu Mori

57 papers receiving 3.3k citations

Hit Papers

Importance of the nef gene for maintenance of high virus ...1.4k19912026200220144008001.2k

Peers

Kazuyasu Mori
Comparison fields: 5 of 90
  • Virology 2.6k
  • Immunology 1.5k
  • Infectious Diseases 1.3k
  • Epidemiology 926
  • Neurology 123
Replace Lisa A. Chakrabarti with:
Lisa A. Chakrabarti France
Ghalib Alkhatib United States
Mary Zupancic United States
Janet M. Harouse United States
P Di Marzio United States
L O Arthur United States
Damian F. J. Purcell Australia
JOHN P. MOORE United States
Hirofumi Akari Japan
Connor Hill United States
Kazuyasu Mori relative to Lisa A. Chakrabarti France Lisa A. Chakrabarti's profile →
Citations per field
00.5×1.5×
Lisa A. Chakrabarti · 1×
Citations per year

Countries citing papers authored by Kazuyasu Mori

Since Specialization
Citations

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

Fields of papers citing papers by Kazuyasu Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20179
2 20117
3 201040
4 200921
5 200811
6 200815
7 200847
8 200714
9 20046
10 200487
11 200318
12 200325
13 20002
14 199926
15 199919
16 19985
17 199830
18 19975
19 199665
20 198461

About Kazuyasu Mori

Kazuyasu Mori is a scholar working on Virology, Immunology and Infectious Diseases, having authored 57 papers that have together received 3.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (46 papers), Immune Cell Function and Interaction (21 papers), HIV/AIDS Research and Interventions (14 papers), T-cell and B-cell Immunology (14 papers), HIV/AIDS drug development and treatment (12 papers), Cytomegalovirus and herpesvirus research (11 papers), Immunotherapy and Immune Responses (5 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Virology (2.6k citations), Immunology (1.5k citations) and Infectious Diseases (1.3k citations). Kazuyasu Mori has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Ronald C. Desrosiers, D J Ringler, M. D. Daniel, Dennis Panicali, Prabhat K. Sehgal, Toshiaki Kodama, François Villinger, Aftab A. Ansari, Chie Sugimoto and Ann E. Mayne. Their work appears in journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

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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