S. Chiba

7.3k citations
105 papers · 2.9k · h-index 32

Impact in

Papers in

    • Viral gastroenteritis research and epidemiology 31
    • SARS-CoV-2 and COVID-19 Research 12
    • Respiratory viral infections research 22
    • Influenza Virus Research Studies 11
    • Cytomegalovirus and herpesvirus research 10

S. Chiba

103 papers receiving 2.8k citations

Peers

S. Chiba
Comparison fields: 5 of 109
  • Infectious Diseases 1.6k
  • Animal Science and Zoology 656
  • Hepatology 255
  • Cardiology and Cardiovascular Medicine 625
  • General Dentistry 37
Replace Nicolas Lévêque with:
Nicolas Lévêque France
Broc T. McCune United States
Shunzo Chiba Japan
T Hovi Finland
Dario Di Luca Italy
Sylvie Pillet France
Harutaka Katano Japan
Huimin Yan China
John P. DeVincenzo United States
Lia M. Haynes United States
S. Chiba relative to Nicolas Lévêque France Nicolas Lévêque's profile →
Citations per field
00.5×6.2×
Nicolas Lévêque · 1×
Citations per year

Countries citing papers authored by S. Chiba

Since Specialization
Citations

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

Fields of papers citing papers by S. Chiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991208
2 2014160
3 2009130
4 1996114
5 1992109
6 199691
7 201886
8 198980
9 201978
10 198869
11 202163
12 198463
13 199761
14 199461
15 199459
16 200956
17 198754
18 201153
19 201050
20 198050

About S. Chiba

S. Chiba is a scholar working on Infectious Diseases, Epidemiology, Immunology, Animal Science and Zoology and Surgery, having authored 105 papers that have together received 2.9k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (31 papers), Respiratory viral infections research (22 papers), Animal Virus Infections Studies (14 papers), SARS-CoV-2 and COVID-19 Research (12 papers), Influenza Virus Research Studies (11 papers), Viral Infections and Immunology Research (11 papers), Cytomegalovirus and herpesvirus research (10 papers) and Hepatitis Viruses Studies and Epidemiology (6 papers). The work is most often cited by research in Infectious Diseases (1.6k citations), Animal Science and Zoology (656 citations), Hepatology (255 citations), Cardiology and Cardiovascular Medicine (625 citations) and General Dentistry (37 citations). S. Chiba has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Shuji Nakata, T. Nakao, Tomoko Urasawa, Mary K. Estes, Shozo Urasawa, Hiroyuki Tsutsumi, Yoshihiro Kawaoka, Susumu Ukae, T Yamashita and Yuichi Ishihara. Their work appears in journals such as The Journal of Infectious Diseases, Journal of Clinical Microbiology, Archives of Virology, European Journal of Pediatrics and mBio.

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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