Jun Mukaigawa
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Epidemiology top 10%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Hepatitis B Virus Studies
Papers in
-
- Influenza Virus Research Studies 4
- Respiratory viral infections research 3
- Hepatitis B Virus Studies 2
-
- RNA and protein synthesis mechanisms 2
- Co-authors
- Debi P. Nayak (2 shared papers)Eriko Hatada (2 shared papers)Ryūji Fukuda (1 shared paper)Masakazu Hasegawa (1 shared paper)Takayoshi Ito (2 shared papers)K Mitamura (1 shared paper)Kotaro Yasui (2 shared papers)Atsushi Kato (1 shared paper)
- Journals
- Journal of General Virology (2 papers)The Journal of Biochemistry (2 papers)Journal of Medical Virology (2 papers)Journal of Virology (1 paper)Vaccine (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Jun Mukaigawa
13 papers receiving 431 citations
Peers
Comparison fields: 5 of 49
- Hepatology 102
- Epidemiology 328
- Immunology 107
- Infectious Diseases 67
- Virology 16
Countries citing papers authored by Jun Mukaigawa
This map shows the geographic impact of Jun Mukaigawa'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 Jun Mukaigawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Mukaigawa more than expected).
Fields of papers citing papers by Jun Mukaigawa
This network shows the impact of papers produced by Jun Mukaigawa. 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 Jun Mukaigawa. The network helps show where Jun Mukaigawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Mukaigawa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 102 | |
| 2 | 1989 | 95 | |
| 3 | 1990 | 79 | |
| 4 | 1996 | 77 | |
| 5 | 2001 | 25 | |
| 6 | 1997 | 17 | |
| 7 | 1985 | 17 | |
| 8 | 1991 | 11 | |
| 9 | 2004 | 8 | |
| 10 | 2004 | 4 | |
| 11 | 1962 | 3 | |
| 12 | 2005 | 2 | |
| 13 | 1997 | 1 |
About Jun Mukaigawa
Jun Mukaigawa is a scholar working on Epidemiology, Molecular Biology, Infectious Diseases, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 441 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (4 papers), Respiratory viral infections research (3 papers), RNA and protein synthesis mechanisms (2 papers), Polyomavirus and related diseases (2 papers), Hepatitis B Virus Studies (2 papers), Hepatitis C virus research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Hepatology (102 citations), Epidemiology (328 citations), Immunology (107 citations), Infectious Diseases (67 citations) and Virology (16 citations). Jun Mukaigawa has collaborated with scholars based in Japan and United States. Frequent co-authors include Debi P. Nayak, Eriko Hatada, Ryūji Fukuda, Masakazu Hasegawa, Takayoshi Ito, K Mitamura, Kotaro Yasui, Atsushi Kato, Ayae Honda and Mark Krystal. Their work appears in journals such as Journal of General Virology, The Journal of Biochemistry, Journal of Medical Virology, Journal of Virology and Vaccine.
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.