Satoshi Itō

39 papers receiving 446 citations

Peers

Satoshi Itō
Comparison fields: 5 of 87
  • Agronomy and Crop Science 271
  • Ecology, Evolution, Behavior and Systematics 189
  • Cardiology and Cardiovascular Medicine 117
  • Behavioral Neuroscience 19
  • Small Animals 30
Replace Hugh Simmons with:
Hugh Simmons United Kingdom
JENNIFER C. OUSEY United Kingdom
Linda Morrison United States
Terry L. Juelich United States
K Bickhardt Germany
L. Heasman United Kingdom
B.J. Schanbacher United States
Massimo Spedicato Italy
Maria Rita Polo Gascón Brazil
R.P. Radcliff United States
Satoshi Itō relative to Hugh Simmons United Kingdom Hugh Simmons's profile →
Citations per field
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Hugh Simmons · 1×
Citations per year

Countries citing papers authored by Satoshi Itō

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Itō

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201946
2 202243
3 202240
4 202036
5 202328
6 198627
7 201922
8 198621
9 202220
10 200518
11 199616
12 202212
13 202012
14 200112
15 202211
16 20219
17 20089
18 20008
19
Proceedings From Semantics and Linguistic Theory (Salt) Xix (2009)
20117
20 20216

About Satoshi Itō

Satoshi Itō is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Cardiology and Cardiovascular Medicine, Surgery and Physiology, having authored 46 papers that have together received 453 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (20 papers), Vector-Borne Animal Diseases (17 papers), Viral Infections and Immunology Research (9 papers), GABA and Rice Research (3 papers), T-cell and Retrovirus Studies (3 papers), Microbial infections and disease research (3 papers), Birth, Development, and Health (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Agronomy and Crop Science (271 citations), Ecology, Evolution, Behavior and Systematics (189 citations), Cardiology and Cardiovascular Medicine (117 citations), Behavioral Neuroscience (19 citations) and Small Animals (30 citations). Satoshi Itō has collaborated with scholars based in Japan, Spain and United States. Frequent co-authors include José Manuel Sánchez‐Vizcaíno, Jaime Bosch, Norikazu Isoda, Marta Martínez‐Avilés, Yoshihiro Sakoda, Cristina Jurado, Shizuko Murakami, Yasumasa Arai, Korehito Yamanouchi and Estefanía Cadenas-Fernández. Their work appears in journals such as Pathogens, Frontiers in Veterinary Science, Transboundary and Emerging Diseases, PLoS ONE and Research in Veterinary Science.

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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