Jun Kusuda
Impact in
- Immunology top 2%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Aquaculture disease management and microbiota
- Immune Response and Inflammation
- interferon and immune responses
- Oncology top 5%
- Chemokine receptors and signaling
Papers in
-
- RNA and protein synthesis mechanisms 8
- Genomics and Chromatin Dynamics 7
- Genomics and Phylogenetic Studies 5
- RNA Research and Splicing 3
- Genetics 10
- Animal Genetics and Reproduction 4
- Co-authors
- Osamu Yoshie (10 shared papers)Hisayuki Nomiyama (10 shared papers)Toshio Imai (6 shared papers)Kunio Hieshima (4 shared papers)Mayumi Kakizaki (2 shared papers)Retsu Miura (5 shared papers)Masahiro Sugiura (2 shared papers)Katsuyuki Hashimoto (22 shared papers)
- Journals
- Genomics (8 papers)Gene (5 papers)Cytogenetic and Genome Research (5 papers)Journal of Biological Chemistry (3 papers)BMC Genomics (3 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Jun Kusuda
44 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 98
- Immunology 957
- Oncology 802
- Immunology and Allergy 109
- Molecular Biology 656
- Cancer Research 130
Countries citing papers authored by Jun Kusuda
This map shows the geographic impact of Jun Kusuda'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 Kusuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Kusuda more than expected).
Fields of papers citing papers by Jun Kusuda
This network shows the impact of papers produced by Jun Kusuda. 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 Kusuda. The network helps show where Jun Kusuda may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Kusuda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 362 | |
| 2 | 1997 | 321 | |
| 3 | 1997 | 234 | |
| 4 | 2011 | 220 | |
| 5 | 2008 | 169 | |
| 6 | 1979 | 75 | |
| 7 | 1996 | 71 | |
| 8 | 1998 | 51 | |
| 9 | 2008 | 48 | |
| 10 | 1997 | 39 | |
| 11 | 1987 | 39 | |
| 12 | 2008 | 31 | |
| 13 | 1986 | 29 | |
| 14 | 1980 | 24 | |
| 15 | 2005 | 22 | |
| 16 | 1996 | 21 | |
| 17 | 2002 | 20 | |
| 18 | 1991 | 18 | |
| 19 | 2003 | 18 | |
| 20 | 1998 | 18 |
About Jun Kusuda
Jun Kusuda is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Insect Science, having authored 44 papers that have together received 2.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), Chemokine receptors and signaling (8 papers), Genomics and Chromatin Dynamics (7 papers), Genomics and Phylogenetic Studies (5 papers), T-cell and B-cell Immunology (5 papers), Animal Genetics and Reproduction (4 papers), RNA Research and Splicing (3 papers) and Silkworms and Sericulture Research (3 papers). The work is most often cited by research in Immunology (957 citations), Oncology (802 citations), Immunology and Allergy (109 citations), Molecular Biology (656 citations) and Cancer Research (130 citations). Jun Kusuda has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Osamu Yoshie, Hisayuki Nomiyama, Toshio Imai, Kunio Hieshima, Mayumi Kakizaki, Retsu Miura, Masahiro Sugiura, Katsuyuki Hashimoto, Masataka Baba and Motoji Kitaura. Their work appears in journals such as Genomics, Gene, Cytogenetic and Genome Research, Journal of Biological Chemistry and BMC Genomics.
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.