Atsushi Yasuda
- Virology top 5%
- HIV Research and Treatment 6
- Animal Science and Zoology top 5%
- Small Animals top 5%
- Infectious Diseases top 10%
- Parasitology top 10%
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- Virus-based gene therapy research 10
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- Herpesvirus Infections and Treatments 8
- Virology and Viral Diseases 6
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- Pituitary Gland Disorders and Treatments 7
- Adrenal Hormones and Disorders 5
- Hormonal Regulation and Hypertension 4
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- Immunotherapy and Immune Responses 5
- Co-authors
- Asato KojimaRami A. DalloulErik P. LillehojTakayasu KurataTetsutaro SataKotaro YasuiTakanori SatoChizuko Takamura
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Atsushi Yasuda
51 papers receiving 924 citations
Peers
Comparison fields: 5 of 87
- Virology 162
- Animal Science and Zoology 182
- Small Animals 99
- Infectious Diseases 180
- Parasitology 59
Countries citing papers authored by Atsushi Yasuda
This map shows the geographic impact of Atsushi Yasuda'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 Atsushi Yasuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Yasuda more than expected).
Fields of papers citing papers by Atsushi Yasuda
This network shows the impact of papers produced by Atsushi Yasuda. 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 Atsushi Yasuda. The network helps show where Atsushi Yasuda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Atsushi Yasuda, 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 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 7 | |
| 5 | 2021 | 4 | |
| 6 | 2021 | 1 | |
| 7 | 2020 | 4 | |
| 8 | 2019 | 4 | |
| 9 | 2019 | 5 | |
| 10 | 2016 | 2 | |
| 11 | 2016 | 9 | |
| 12 | 2016 | 2 | |
| 13 | 2015 | 31 | |
| 14 | [Two cases of afferent loop syndrome caused by obstruction at the jejuno-jejunostomy site in the Roux-en-Y loop that were successfully treated by endoscopic balloon dilatation]. | 2014 | 2 |
| 15 | 2013 | 42 | |
| 16 | 2013 | 58 | |
| 17 | MTSAT Observation of the Eruption Cloud Occurred at the February 2, 2009 Eruption of Mt. Asama, Central Japan | 2010 | 2 |
| 18 | 1997 | 6 | |
| 19 | 1995 | 26 | |
| 20 | 1981 | 8 |
About Atsushi Yasuda
Atsushi Yasuda is a scholar working on Virology, Horticulture, Genetics, Immunology and Endocrinology, Diabetes and Metabolism, having authored 52 papers that have together received 965 indexed citations. Recurring topics across this work include Virus-based gene therapy research (10 papers), Herpesvirus Infections and Treatments (8 papers), Pituitary Gland Disorders and Treatments (7 papers), Virology and Viral Diseases (6 papers), HIV Research and Treatment (6 papers), Immunotherapy and Immune Responses (5 papers), Adrenal Hormones and Disorders (5 papers) and Hormonal Regulation and Hypertension (4 papers). The work is most often cited by research in Virology (162 citations), Animal Science and Zoology (182 citations), Small Animals (99 citations), Infectious Diseases (180 citations) and Parasitology (59 citations). Atsushi Yasuda has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Asato Kojima, Rami A. Dalloul, Erik P. Lillehoj, Takayasu Kurata, Tetsutaro Sata, Kotaro Yasui, Takanori Sato, Takanori Sato, Chizuko Takamura and Jennifer R. Davis. Their work appears in journals such as Avian Diseases, Vaccine, Journal of General Virology, Journal of Virology and Scientific Reports.
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.