Suguru Takeuchi

857 citations
38 papers · 638 · h-index 13

Impact in

  • Hepatology top 10%
    • Liver physiology and pathology
    • Liver Disease and Transplantation
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

    • Cytomegalovirus and herpesvirus research 5
    • Pneumonia and Respiratory Infections 4
    • Liver Disease Diagnosis and Treatment 4
    • Respiratory viral infections research 4
    • Liver physiology and pathology 3
    • Hepatocellular Carcinoma Treatment and Prognosis 3

Suguru Takeuchi

36 papers receiving 629 citations

Peers

Suguru Takeuchi
Comparison fields: 5 of 72
  • Hepatology 96
  • Genetics 93
  • Cancer Research 79
  • Epidemiology 147
  • Infectious Diseases 82
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Citations per field
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Citations per year

Countries citing papers authored by Suguru Takeuchi

Since Specialization
Citations

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

Fields of papers citing papers by Suguru Takeuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020106
2 201986
3 202066
4 202063
5 201942
6 201938
7 201832
8 201928
9 201919
10 202115
11 201515
12 201314
13 202112
14 201412
15 201510
16 20219
17 20218
18 20118
19 20167
20 20217

About Suguru Takeuchi

Suguru Takeuchi is a scholar working on Epidemiology, Hepatology, Molecular Biology, Oncology and Infectious Diseases, having authored 38 papers that have together received 638 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (5 papers), Pneumonia and Respiratory Infections (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Respiratory viral infections research (4 papers), Liver physiology and pathology (3 papers), Bacterial Infections and Vaccines (3 papers), Extracellular vesicles in disease (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Hepatology (96 citations), Genetics (93 citations), Cancer Research (79 citations), Epidemiology (147 citations) and Infectious Diseases (82 citations). Suguru Takeuchi has collaborated with scholars based in Japan, Iran and United States. Frequent co-authors include Shuji Terai, Atsunori Tsuchiya, Kazuhiro Horiba, Takayuki Watanabe, Yoshinori Ito, Shunsuke Nojiri, Yuka Torii, Jun‐ichi Kawada, Masahiro Ogawa and Tomoaki Yoshida. Their work appears in journals such as Inflammation and Regeneration, Journal of Medical Virology, Pediatric Critical Care Medicine, Journal of Cardiology and BMC Pregnancy and Childbirth.

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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