Jun Kurushima
Impact in
- Microbiology top 5%
- Bacterial Infections and Vaccines
- Endocrinology top 5%
- Escherichia coli research studies
Papers in
-
- Antimicrobial Resistance in Staphylococcus 8
- Clostridium difficile and Clostridium perfringens research 3
- Co-authors
- Haruyoshi Tomita (13 shared papers)Hidetada Hirakawa (6 shared papers)Yusuke Hashimoto (6 shared papers)Akio Abe (5 shared papers)Asaomi Kuwae (4 shared papers)Jan‐Willem Veening (3 shared papers)Lance E. Keller (1 shared paper)Yasuyoshi Ike (2 shared papers)
- Journals
- Journal of Bacteriology (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)Cell Reports (1 paper)
- Partner nations
- JapanSwitzerlandNetherlands
In The Last Decade
Jun Kurushima
20 papers receiving 327 citations
Peers
Comparison fields: 5 of 62
- Microbiology 94
- Endocrinology 72
- Molecular Medicine 53
- Infectious Diseases 83
- Clinical Biochemistry 23
Countries citing papers authored by Jun Kurushima
This map shows the geographic impact of Jun Kurushima'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 Kurushima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Kurushima more than expected).
Fields of papers citing papers by Jun Kurushima
This network shows the impact of papers produced by Jun Kurushima. 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 Kurushima. The network helps show where Jun Kurushima may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Kurushima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 76 | |
| 2 | 2019 | 28 | |
| 3 | 2012 | 24 | |
| 4 | 2018 | 20 | |
| 5 | 2020 | 20 | |
| 6 | 2020 | 16 | |
| 7 | 2012 | 16 | |
| 8 | 2022 | 15 | |
| 9 | 2018 | 15 | |
| 10 | 2012 | 15 | |
| 11 | 2013 | 14 | |
| 12 | 2023 | 14 | |
| 13 | 2014 | 12 | |
| 14 | 2016 | 10 | |
| 15 | 2021 | 9 | |
| 16 | 2010 | 8 | |
| 17 | 2015 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2021 | 3 | |
| 20 | 2023 | 1 |
About Jun Kurushima
Jun Kurushima is a scholar working on Infectious Diseases, Epidemiology, Endocrinology, Molecular Biology and Genetics, having authored 22 papers that have together received 327 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (8 papers), Escherichia coli research studies (6 papers), Bacterial Infections and Vaccines (5 papers), Bacterial Genetics and Biotechnology (4 papers), Bacteriophages and microbial interactions (4 papers), Antibiotic Resistance in Bacteria (4 papers), Probiotics and Fermented Foods (4 papers) and Clostridium difficile and Clostridium perfringens research (3 papers). The work is most often cited by research in Microbiology (94 citations), Endocrinology (72 citations), Molecular Medicine (53 citations), Infectious Diseases (83 citations) and Clinical Biochemistry (23 citations). Jun Kurushima has collaborated with scholars based in Japan, Switzerland and Netherlands. Frequent co-authors include Haruyoshi Tomita, Hidetada Hirakawa, Yusuke Hashimoto, Akio Abe, Asaomi Kuwae, Jan‐Willem Veening, Lance E. Keller, Yasuyoshi Ike, Motoyuki Sugai and Takahiro Nomura. Their work appears in journals such as Journal of Bacteriology, Antimicrobial Agents and Chemotherapy, PLoS ONE, Scientific Reports and Cell Reports.
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.