Asuka Setoguchi

40 papers receiving 947 citations

Peers

Asuka Setoguchi
Comparison fields: 5 of 77
  • Parasitology 207
  • Small Animals 213
  • Equine 42
  • Microbiology 15
  • Virology 67
Replace Koichi KADOTA with:
Koichi KADOTA Japan
Paula Grest Switzerland
Amy L. MacNeill United States
Susan E. Turnquist United States
R. Gayman Helman United States
Scott Moroff United States
Christine S. Olver United States
Elvio Lepri Italy
PJ CANFIELD Australia
Anthony A. Stannard United States
Asuka Setoguchi relative to Koichi KADOTA Japan Koichi KADOTA's profile →
Citations per field
00.5×3.2×
Koichi KADOTA · 1×
Citations per year

Countries citing papers authored by Asuka Setoguchi

Since Specialization
Citations

This map shows the geographic impact of Asuka Setoguchi'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 Asuka Setoguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asuka Setoguchi more than expected).

Fields of papers citing papers by Asuka Setoguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Asuka Setoguchi. 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 Asuka Setoguchi. The network helps show where Asuka Setoguchi may publish in the future.

Co-authors

The 25 scholars most cited alongside Asuka Setoguchi, 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 Asuka Setoguchi Line = papers co-authored together Asuka Setoguchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008155
2 200878
3 200165
4 200659
5 199952
6 200951
7 201046
8 200132
9 201532
10 201326
11 200525
12 201022
13 201022
14 201522
15 201022
16 201420
17 200020
18 200719
19 201319
20 200118

About Asuka Setoguchi

Asuka Setoguchi is a scholar working on Pulmonary and Respiratory Medicine, Genetics, Parasitology, Small Animals and Epidemiology, having authored 41 papers that have together received 1000 indexed citations. Recurring topics across this work include Veterinary Oncology Research (13 papers), Vector-borne infectious diseases (10 papers), Virus-based gene therapy research (10 papers), Infectious Diseases and Mycology (5 papers), Rabies epidemiology and control (3 papers), Herpesvirus Infections and Treatments (3 papers), Viral Infections and Vectors (3 papers) and Streptococcal Infections and Treatments (2 papers). The work is most often cited by research in Parasitology (207 citations), Small Animals (213 citations), Equine (42 citations), Microbiology (15 citations) and Virology (67 citations). Asuka Setoguchi has collaborated with scholars based in Japan, United States and Nigeria. Frequent co-authors include Hajime Tsujimoto, Koichi Ohno, Yasuyuki Endo, Yasuhito Fujino, Ko Nakashima, Masashi Takahashi, Nobuo Sasaki, Masaru Okuda, Ryohei Nishimura and Masaaki Nakamura. Their work appears in journals such as American Journal of Veterinary Research, Journal of Veterinary Internal Medicine, Veterinary Clinical Pathology, Journal of Veterinary Medical Science and Veterinary Immunology and Immunopathology.

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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