Agus Setiyono
Impact in
- Infectious Diseases top 10%
- Viral Infections and Vectors
- Viral gastroenteritis research and epidemiology
- Parasitology top 10%
- Vector-borne infectious diseases
Papers in
- Epidemiology 20
- Virology and Viral Diseases 14
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- Viral Infections and Vectors 15
- Co-authors
- Ekowati Handharyani (22 shared papers)Katsuya Hirai (6 shared papers)Hideto Fukushi (6 shared papers)Tsuyoshi Yamaguchi (6 shared papers)Motohiko Ogawa (6 shared papers)Ichiro Nakamura (6 shared papers)Takashi Kimura (7 shared papers)Michihito Sasaki (9 shared papers)
- Journals
- Archives of Virology (3 papers)Journal of Virology (2 papers)Scientific Reports (1 paper)Journal of Medical Microbiology (1 paper)BMC Immunology (1 paper)
- Partner nations
- IndonesiaJapanUnited States
In The Last Decade
Agus Setiyono
60 papers receiving 517 citations
Peers
Comparison fields: 5 of 66
- Infectious Diseases 233
- Parasitology 72
- Animal Science and Zoology 107
- Virology 49
- Drug Discovery 1
Countries citing papers authored by Agus Setiyono
This map shows the geographic impact of Agus Setiyono'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 Agus Setiyono with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agus Setiyono more than expected).
Fields of papers citing papers by Agus Setiyono
This network shows the impact of papers produced by Agus Setiyono. 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 Agus Setiyono. The network helps show where Agus Setiyono may publish in the future.
Co-authors
The 25 scholars most cited alongside Agus Setiyono, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 41 | |
| 2 | 2019 | 39 | |
| 3 | 1998 | 37 | |
| 4 | 1998 | 32 | |
| 5 | 2012 | 31 | |
| 6 | 2014 | 28 | |
| 7 | BERAS ANALOG SEBAGAI PANGAN FUNGSIONAL DENGAN INDEKS GLIKEMIK RENDAH | 2015 | 22 |
| 8 | 2016 | 22 | |
| 9 | 2000 | 21 | |
| 10 | 2015 | 19 | |
| 11 | 2016 | 19 | |
| 12 | 2015 | 17 | |
| 13 | 2018 | 16 | |
| 14 | 2005 | 16 | |
| 15 | 2019 | 16 | |
| 16 | 2019 | 14 | |
| 17 | 2001 | 13 | |
| 18 | 2011 | 11 | |
| 19 | 2016 | 9 | |
| 20 | 1999 | 9 |
About Agus Setiyono
Agus Setiyono is a scholar working on Epidemiology, Infectious Diseases, Animal Science and Zoology, Parasitology and Ecology, Evolution, Behavior and Systematics, having authored 71 papers that have together received 540 indexed citations. Recurring topics across this work include Viral Infections and Vectors (15 papers), Vector-borne infectious diseases (14 papers), Virology and Viral Diseases (14 papers), Vector-Borne Animal Diseases (12 papers), Animal Virus Infections Studies (11 papers), Medicinal Plant Research (7 papers), Mosquito-borne diseases and control (5 papers) and Nigella sativa pharmacological applications (4 papers). The work is most often cited by research in Infectious Diseases (233 citations), Parasitology (72 citations), Animal Science and Zoology (107 citations), Virology (49 citations) and Drug Discovery (1 citation). Agus Setiyono has collaborated with scholars based in Indonesia, Japan and United States. Frequent co-authors include Ekowati Handharyani, Katsuya Hirai, Hideto Fukushi, Tsuyoshi Yamaguchi, Motohiko Ogawa, Ichiro Nakamura, Takashi Kimura, Michihito Sasaki, Hirofumi Sawa and Ono Suparno. Their work appears in journals such as Archives of Virology, Journal of Virology, Scientific Reports, Journal of Medical Microbiology and BMC Immunology.
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.