R Mukai

455 total citations
20 papers, 376 citations indexed

About

R Mukai is a scholar working on Virology, Immunology and Infectious Diseases. According to data from OpenAlex, R Mukai has authored 20 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Virology, 9 papers in Immunology and 8 papers in Infectious Diseases. Recurrent topics in R Mukai's work include HIV Research and Treatment (9 papers), Immune Cell Function and Interaction (7 papers) and HIV/AIDS drug development and treatment (6 papers). R Mukai is often cited by papers focused on HIV Research and Treatment (9 papers), Immune Cell Function and Interaction (7 papers) and HIV/AIDS drug development and treatment (6 papers). R Mukai collaborates with scholars based in Japan, United States and Nigeria. R Mukai's co-authors include Masaki Hayashi, Robert Hamatake, Tatsuyuki Mimori, M. Hayami, John Hardin, Akio Adachi, Riri Shibata, Norihiro Okada, Toshihiko Komatsu and Yuichi Murayama and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

R Mukai

19 papers receiving 361 citations

Peers

R Mukai
Comparison fields: 5 of 55
  • Virology 174
  • Epidemiology 165
  • Immunology 112
  • Infectious Diseases 98
  • Molecular Biology 93
Replace Yoshii Nishino with:
Yoshii Nishino Japan
D. York United States
H. Bunschoten Netherlands
Ryan D. Estep United States
Dennis M. Wong United States
K. K. A. Goswami United Kingdom
Chen Liang China
Julie Binette Canada
Daniel Rupp Germany
Xiaoxing Qiu United States
Yoshii Nishino Japan View profile →
Citations per field, relative to R Mukai
R Mukai · 1×
Citations per year, relative to R Mukai
R Mukai · 1×

Countries citing papers authored by R Mukai

Since Specialization
Citations

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

Fields of papers citing papers by R Mukai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R Mukai

This figure shows the co-authorship network connecting the top 25 collaborators of R Mukai. A scholar is included among the top collaborators of R Mukai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R Mukai. R Mukai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 27
3 2
4 4
5 28
6
Antiviral effects of 6-chloro-2',3'-dideoxyguanosine in rhesus monkeys acutely infected with simian immunodeficiency virus.
5
7 5
8 35
9 13
10 39
11 61
12
Experimental infection of African green monkeys and cynomolgus monkeys with a SIVAGM strain isolated from a healthy African green monkey.
28
13
Intracytoplasmic localization of CD3 antigen in NKH1+ azurophilic granular T-lymphoblastic lymphoma cells.
4
14 52
15 11
16 7
17 9
18 26
19 9
20 11

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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