Jun Sakùrai

7.5k citations
212 papers · 6.3k · h-index 45

Impact in

    • Clostridium difficile and Clostridium perfringens research
    • Antimicrobial Resistance in Staphylococcus
    • Vibrio bacteria research studies

Papers in

    • Clostridium difficile and Clostridium perfringens research 78
    • Antimicrobial Resistance in Staphylococcus 14
    • Toxin Mechanisms and Immunotoxins 43

Jun Sakùrai

204 papers receiving 6.0k citations

Peers

Jun Sakùrai
Comparison fields: 5 of 129
  • Infectious Diseases 2.5k
  • Endocrinology 504
  • Immunology 1.5k
  • Gastroenterology 298
  • Neurology 681
Replace Martin Zeitz with:
Martin Zeitz Germany
Fayyaz S. Sutterwala United States
Le Shen United States
Vijay Rathinam United States
Stefan Wirtz Germany
Stefan Hippenstiel Germany
Tracy Hussell United Kingdom
Kelli L. Boyd United States
R. K. Subbarao Malireddi United States
Eyal Raz United States
Jun Sakùrai relative to Martin Zeitz Germany Martin Zeitz's profile →
Citations per field
00.5×3.5×
Martin Zeitz · 1×
Citations per year

Countries citing papers authored by Jun Sakùrai

Since Specialization
Citations

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

Fields of papers citing papers by Jun Sakùrai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 212 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009183
2 2004155
3 1993131
4 2006125
5 2006117
6 2007116
7 2007101
8 1986100
9 200896
10 199196
11 200395
12 200291
13
Toxins of Clostridium perfringens.
199587
14 199283
15 200679
16 199673
17 199570
18 197870
19 201269
20 200669

About Jun Sakùrai

Jun Sakùrai is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Neurology and Physiology, having authored 212 papers that have together received 6.3k indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (78 papers), Toxin Mechanisms and Immunotoxins (43 papers), Botulinum Toxin and Related Neurological Disorders (29 papers), Pharmacological Effects of Natural Compounds (18 papers), Lipid Membrane Structure and Behavior (16 papers), Antimicrobial Resistance in Staphylococcus (14 papers), Streptococcal Infections and Treatments (12 papers) and Erythrocyte Function and Pathophysiology (12 papers). The work is most often cited by research in Infectious Diseases (2.5k citations), Endocrinology (504 citations), Immunology (1.5k citations), Gastroenterology (298 citations) and Neurology (681 citations). Jun Sakùrai has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masahiro Nagahama, Masataka Oda, Keiko Kobayashi, Takao Hiraki, Hideo Gobara, Susumu Kanazawa, Toshihiro Iguchi, Sadayuki Ochi, Hiroyasu Fujiwara and Hidefumi Mimura. Their work appears in journals such as Infection and Immunity, Journal of Vascular and Interventional Radiology, Toxicon, Diagnostic and Interventional Imaging and CardioVascular and Interventional Radiology.

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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