Jun Sakùrai

7.5k citations
211 papers · 5.8k · h-index 43

Impact in

Papers in

    • Clostridium difficile and Clostridium perfringens research 76
    • Antimicrobial Resistance in Staphylococcus 14
    • Lipid Membrane Structure and Behavior 16

Jun Sakùrai

201 papers receiving 5.7k citations

Peers

Jun Sakùrai
Comparison fields: 5 of 131
  • Infectious Diseases 2.3k
  • Endocrinology 457
  • Immunology 1.5k
  • Gastroenterology 354
  • Pharmacology 366
Replace Martin Zeitz with:
Martin Zeitz Germany
Jong‐Dae Lee Japan
Si Ming Man Australia
Luigi Franchi United States
Daniel A. Muruve Canada
Stefan Wirtz Germany
Fayyaz S. Sutterwala United States
Daniel Mucida United States
Vijay Rathinam United States
Monia Michaud United States
Jun Sakùrai relative to Martin Zeitz Germany Martin Zeitz's profile →
Citations per field
00.5×2.6×
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 211 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009179
2 2004146
3 1993122
4 2006120
5 2006114
6 2007110
7 200795
8 200892
9 199190
10 198690
11 200388
12
Toxins of Clostridium perfringens.
199585
13 200284
14 199277
15 200674
16 199670
17 199566
18 201265
19 200663
20 201562

About Jun Sakùrai

Jun Sakùrai is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Pulmonary and Respiratory Medicine and Surgery, having authored 211 papers that have together received 5.8k indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (76 papers), Toxin Mechanisms and Immunotoxins (43 papers), Botulinum Toxin and Related Neurological Disorders (28 papers), Pharmacological Effects of Natural Compounds (20 papers), Lipid Membrane Structure and Behavior (16 papers), Helicobacter pylori-related gastroenterology studies (14 papers), Antimicrobial Resistance in Staphylococcus (14 papers) and Medical Imaging and Pathology Studies (12 papers). The work is most often cited by research in Infectious Diseases (2.3k citations), Endocrinology (457 citations), Immunology (1.5k citations), Gastroenterology (354 citations) and Pharmacology (366 citations). Jun Sakùrai has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masahiro Nagahama, Masataka Oda, Takao Hiraki, Susumu Kanazawa, Hideo Gobara, Keiko Kobayashi, Toshihiro Iguchi, Hiroyasu Fujiwara, Sadayuki Ochi 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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