Agus Setiyono

785 citations
73 papers · 551 · h-index 15

Impact in

    • Viral Infections and Vectors
    • Viral gastroenteritis research and epidemiology
  • Parasitology top 10%
    • Vector-borne infectious diseases

Papers in

Agus Setiyono

60 papers receiving 527 citations

Peers

Agus Setiyono
Comparison fields: 5 of 67
  • Infectious Diseases 223
  • Parasitology 68
  • Virology 46
  • Animal Science and Zoology 98
  • Epidemiology 196
Replace Gerrit J. Viljoen with:
Gerrit J. Viljoen Austria
K. Cookson United States
Abdullah I. A. Al-Mubarak Saudi Arabia
G. L. Cooper United States
B.M. Anene Nigeria
Xinglong Yu China
Maria Ângela Ornelas de Almeida Brazil
Kun Shi China
Jianhua Guo United States
Marlén Martínez‐Gutierrez Colombia
Agus Setiyono relative to Gerrit J. Viljoen Austria Gerrit J. Viljoen's profile →
Citations per field
00.5×2.5×
Gerrit J. Viljoen · 1×
Citations per year

Countries citing papers authored by Agus Setiyono

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Agus Setiyono Line = papers co-authored together Agus Setiyono links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201341
2 201940
3 199839
4 201234
5 199832
6 201428
7
BERAS ANALOG SEBAGAI PANGAN FUNGSIONAL DENGAN INDEKS GLIKEMIK RENDAH
201522
8 201622
9 200021
10 201619
11 201519
12 201518
13 200516
14 201916
15 201816
16 201914
17 200113
18 201111
19 201610
20 19999

About Agus Setiyono

Agus Setiyono is a scholar working on Epidemiology, Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Parasitology and Plant Science, having authored 73 papers that have together received 551 indexed citations. Recurring topics across this work include Vector-borne infectious diseases (14 papers), Virology and Viral Diseases (14 papers), Vector-Borne Animal Diseases (13 papers), Viral Infections and Vectors (12 papers), Animal Virus Infections Studies (7 papers), Medicinal Plant Research (7 papers), Mosquito-borne diseases and control (5 papers) and Agricultural and Biological Research (4 papers). The work is most often cited by research in Infectious Diseases (223 citations), Parasitology (68 citations), Virology (46 citations), Animal Science and Zoology (98 citations) and Epidemiology (196 citations). Agus Setiyono has collaborated with scholars based in Indonesia, Japan and United States. Frequent co-authors include Ekowati Handharyani, Tsuyoshi Yamaguchi, Katsuya Hirai, Hideto Fukushi, Motohiko Ogawa, Michihito Sasaki, Ichiro Nakamura, Hirofumi Sawa, Takashi Kimura and Ono Suparno. Their work appears in journals such as Archives of Virology, Journal of Virology, Veterinary Medicine International, BMC Immunology and Virology.

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.

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