Tomihiko Ide

869 citations
26 papers · 512 · h-index 14

Impact in

Papers in

Tomihiko Ide

26 papers receiving 504 citations

Peers

Tomihiko Ide
Comparison fields: 5 of 47
  • Animal Science and Zoology 279
  • Infectious Diseases 489
  • Hepatology 139
  • Cardiology and Cardiovascular Medicine 304
  • Ecology, Evolution, Behavior and Systematics 31
Replace Renáta Dóró with:
Renáta Dóró Hungary
Ratigorn Guntapong Thailand
Ratana Tacharoenmuang Thailand
Xuelei Yang Bangladesh
Luana da Silva Soares Brazil
Supin Tonusin Japan
Susumu Ukae Japan
Saori Fukuda Japan
Sarah De Coster Belgium
Sofie De Vos Bangladesh
Tomihiko Ide relative to Renáta Dóró Hungary Renáta Dóró's profile →
Citations per field
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Renáta Dóró · 1×
Citations per year

Countries citing papers authored by Tomihiko Ide

Since Specialization
Citations

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

Fields of papers citing papers by Tomihiko Ide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201673
2 201866
3 201547
4 201635
5 201834
6 201632
7 201932
8 201526
9 202121
10 201720
11 201117
12 201415
13 201814
14 201613
15 201613
16 202012
17 201811
18 20236
19 20205
20 20225

About Tomihiko Ide

Tomihiko Ide is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Animal Science and Zoology, Epidemiology and Hepatology, having authored 26 papers that have together received 512 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (20 papers), Viral Infections and Immunology Research (15 papers), Animal Virus Infections Studies (12 papers), Hepatitis Viruses Studies and Epidemiology (3 papers), Respiratory viral infections research (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Virus-based gene therapy research (2 papers) and Vector-Borne Animal Diseases (2 papers). The work is most often cited by research in Animal Science and Zoology (279 citations), Infectious Diseases (489 citations), Hepatology (139 citations), Cardiology and Cardiovascular Medicine (304 citations) and Ecology, Evolution, Behavior and Systematics (31 citations). Tomihiko Ide has collaborated with scholars based in Japan, Thailand and United States. Frequent co-authors include Satoshi Komoto, Koki Taniguchi, Tetsushi Yoshikawa, Ratigorn Guntapong, Ratana Tacharoenmuang, Somchai Sangkitporn, Saori Fukuda, Takao Tsuji, Takayuki Murata and Piyanit Tharmaphornpilas. Their work appears in journals such as Infection Genetics and Evolution, PLoS ONE, Journal of Medical Virology, Journal of General Virology and Veterinary Microbiology.

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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