Jun Seishima
Impact in
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- Gastrointestinal motility and disorders
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- Clostridium difficile and Clostridium perfringens research
Papers in
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- Liver Disease Diagnosis and Treatment 2
- Cytomegalovirus and herpesvirus research 1
- Neuroendocrine Tumor Research Advances 1
- Oncology 3
- Pancreatic and Hepatic Oncology Research 2
- Lung Cancer Research Studies 1
- Co-authors
- Eishiro Mizukoshi (8 shared papers)Noriho Iida (7 shared papers)Tatsuya Yamashita (6 shared papers)Shuichi Kaneko (5 shared papers)Masao Honda (5 shared papers)Yoshio Sakai (5 shared papers)Taro Yamashita (5 shared papers)Yukako Fujinaga (4 shared papers)
- Journals
- Nature Cancer (1 paper)Journal of Gastroenterology (1 paper)American Journal of Cancer Research (1 paper)Immunity (1 paper)International Journal of Cancer (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Jun Seishima
11 papers receiving 313 citations
Peers
Comparison fields: 5 of 64
- Gastroenterology 18
- Infectious Diseases 51
- Molecular Biology 175
- Oncology 57
- Epidemiology 58
Countries citing papers authored by Jun Seishima
This map shows the geographic impact of Jun Seishima'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 Seishima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Seishima more than expected).
Fields of papers citing papers by Jun Seishima
This network shows the impact of papers produced by Jun Seishima. 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 Seishima. The network helps show where Jun Seishima may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Seishima, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 122 | |
| 2 | 2021 | 62 | |
| 3 | 2019 | 36 | |
| 4 | Dysbiotic gut microbiota in pancreatic cancer patients form correlation networks with the oral microbiota and prognostic factors. | 2021 | 34 |
| 5 | 2016 | 20 | |
| 6 | 2016 | 14 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 8 | |
| 9 | 2015 | 3 | |
| 10 | 2025 | 2 | |
| 11 | 2023 | 1 |
About Jun Seishima
Jun Seishima is a scholar working on Epidemiology, Oncology, Biological Psychiatry, Molecular Biology and Rheumatology, having authored 11 papers that have together received 315 indexed citations. Recurring topics across this work include Gut microbiota and health (5 papers), Pancreatic and Hepatic Oncology Research (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Tryptophan and brain disorders (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Neuroendocrine Tumor Research Advances (1 paper), Lung Cancer Research Studies (1 paper) and Probiotics and Fermented Foods (1 paper). The work is most often cited by research in Gastroenterology (18 citations), Infectious Diseases (51 citations), Molecular Biology (175 citations), Oncology (57 citations) and Epidemiology (58 citations). Jun Seishima has collaborated with scholars based in Japan and United States. Frequent co-authors include Eishiro Mizukoshi, Noriho Iida, Tatsuya Yamashita, Shuichi Kaneko, Masao Honda, Yoshio Sakai, Taro Yamashita, Yukako Fujinaga, Masahiro Yutani and Ziyu Wang. Their work appears in journals such as Nature Cancer, Journal of Gastroenterology, American Journal of Cancer Research, Immunity and International Journal of Cancer.
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.