Shuji Izumo
- Agronomy and Crop Science top 0.05%
- Animal Disease Management and Epidemiology 75
- Immunology top 0.2%
- T-cell and Retrovirus Studies 122
- Galectins and Cancer Biology 8
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- Vector-Borne Animal Diseases 67
- Virology top 5%
- HIV Research and Treatment 10
- Neurology top 5%
- Neurological diseases and metabolism 8
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- Hereditary Neurological Disorders 11
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- Viral Infections and Immunology Research 8
- Co-authors
- Mitsuhiro OsameKoichiro UsukuFujio UmeharaRyuji KubotaMasahiro NagaiMasanori NakagawaKimiyoshi ArimuraNorihiro Takenouchi
- Journals
- Proceedings of the National Academy of Sciences (1 paper)The EMBO Journal (1 paper)Blood (5 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Shuji Izumo
178 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Agronomy and Crop Science 3.3k
- Immunology 5.1k
- Ecology, Evolution, Behavior and Systematics 3.0k
- Virology 194
- Neurology 247
Countries citing papers authored by Shuji Izumo
This map shows the geographic impact of Shuji Izumo'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 Shuji Izumo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuji Izumo more than expected).
Fields of papers citing papers by Shuji Izumo
This network shows the impact of papers produced by Shuji Izumo. 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 Shuji Izumo. The network helps show where Shuji Izumo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuji Izumo, 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 | 2021 | 4 | |
| 2 | 2020 | 5 | |
| 3 | 2019 | 17 | |
| 4 | 2013 | 72 | |
| 5 | 2009 | 39 | |
| 6 | 2008 | 11 | |
| 7 | 2008 | 15 | |
| 8 | 2008 | 16 | |
| 9 | 2004 | 18 | |
| 10 | 2002 | 13 | |
| 11 | 2000 | 173 | |
| 12 | 1999 | 9 | |
| 13 | 1996 | 12 | |
| 14 | 1996 | 14 | |
| 15 | 1995 | 12 | |
| 16 | 1995 | 140 | |
| 17 | 1995 | 226 | |
| 18 | 1994 | 10 | |
| 19 | 1993 | 176 | |
| 20 | 1992 | 20 |
About Shuji Izumo
Shuji Izumo is a scholar working on Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 179 papers that have together received 6.6k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (122 papers), Animal Disease Management and Epidemiology (75 papers), Vector-Borne Animal Diseases (67 papers), Hereditary Neurological Disorders (11 papers), HIV Research and Treatment (10 papers), Neurological diseases and metabolism (8 papers), Viral Infections and Immunology Research (8 papers) and Galectins and Cancer Biology (8 papers). The work is most often cited by research in Agronomy and Crop Science (3.3k citations), Immunology (5.1k citations) and Ecology, Evolution, Behavior and Systematics (3.0k citations). Shuji Izumo has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Mitsuhiro Osame, Koichiro Usuku, Fujio Umehara, Ryuji Kubota, Masahiro Nagai, Masanori Nakagawa, Kimiyoshi Arimura, Norihiro Takenouchi, Charles R. M. Bangham and Mitsutoshi Tara. Their work appears in journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Blood.
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.