Ko Sato

1.5k citations
76 papers · 1.1k · h-index 16

Impact in

    • Antifungal resistance and susceptibility
    • Viral gastroenteritis research and epidemiology
  • Hematology top 10%
    • Acute Myeloid Leukemia Research

Papers in

    • Respiratory viral infections research 12
    • Fungal Infections and Studies 8
    • Influenza Virus Research Studies 6
    • Viral gastroenteritis research and epidemiology 6

Ko Sato

73 papers receiving 1.0k citations

Peers

Ko Sato
Comparison fields: 5 of 98
  • Infectious Diseases 228
  • Hematology 97
  • Epidemiology 268
  • Cardiology and Cardiovascular Medicine 140
  • Genetics 66
Replace Kathleen Sue Cook with:
Kathleen Sue Cook United States
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Yukië Tanaka Japan
Gordon K. Wollenberg United States
Joanne A. O’Donnell Australia
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Ko Sato relative to Kathleen Sue Cook United States Kathleen Sue Cook's profile →
Citations per field
00.5×3.1×
Kathleen Sue Cook · 1×
Citations per year

Countries citing papers authored by Ko Sato

Since Specialization
Citations

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

Fields of papers citing papers by Ko Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001289
2 198058
3 201456
4 201451
5 201946
6 199131
7 202029
8 199225
9 202123
10 202022
11 201522
12 198122
13 198421
14 197516
15 201915
16 198115
17 202113
18 199812
19 201812
20 201410

About Ko Sato

Ko Sato is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Pharmacology and Pulmonary and Respiratory Medicine, having authored 76 papers that have together received 1.1k indexed citations. Recurring topics across this work include Respiratory viral infections research (12 papers), Fungal Infections and Studies (8 papers), Inflammatory mediators and NSAID effects (8 papers), Hormonal Regulation and Hypertension (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Renin-Angiotensin System Studies (6 papers), Wound Healing and Treatments (6 papers) and Influenza Virus Research Studies (6 papers). The work is most often cited by research in Infectious Diseases (228 citations), Hematology (97 citations), Epidemiology (268 citations), Cardiology and Cardiovascular Medicine (140 citations) and Genetics (66 citations). Ko Sato has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Kazuyoshi Kawakami, KAORU YOSHINAGA, Taiko Inoue-Bungo, Kazumi Kimura, Masaki Yamamoto, T.H. Tahirov, Motoko Sasaki, Takashi Kumasaka, Masaaki Shiina and Kazuhiro Ogata. Their work appears in journals such as Infection and Immunity, PLoS ONE, Plastic & Reconstructive Surgery, Scientific Reports and Hormone and Metabolic Research.

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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