Ryoko Kibe
- Biological Psychiatry top 2%
- Aging top 10%
- Gastroenterology top 5%
- Gastrointestinal motility and disorders 5
- Molecular Biology top 10%
- Gut microbiota and health 19
- Polyamine Metabolism and Applications 3
- Metabolomics and Mass Spectrometry Studies 2
- Food Science top 5%
- Probiotics and Fermented Foods 9
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- Clostridium difficile and Clostridium perfringens research 9
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- Diet and metabolism studies 4
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- Cancer-related Molecular Pathways 3
- Co-authors
- Yoshimi BennoMitsuharu MatsumotoShin KuriharaTakushi OogaYuji AibaYasuhiro KogaHisashi AshidaYusuke Kitada
- Journals
- Scientific Reports (2 papers)Bioscience of Microbiota Food and Health (2 papers)The Journal of Immunology (2 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Ryoko Kibe
30 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 105
- Biological Psychiatry 165
- Aging 37
- Gastroenterology 108
- Molecular Biology 1.1k
- Food Science 263
Countries citing papers authored by Ryoko Kibe
This map shows the geographic impact of Ryoko Kibe'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 Ryoko Kibe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryoko Kibe more than expected).
Fields of papers citing papers by Ryoko Kibe
This network shows the impact of papers produced by Ryoko Kibe. 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 Ryoko Kibe. The network helps show where Ryoko Kibe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ryoko Kibe, 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 | 2022 | 8 | |
| 2 | 2020 | 34 | |
| 3 | Improvement in Clinical Symptoms and Fecal Microbiome After Fecal Microbiota Transplantation in a Dog with Inflammatory Bowel Disease | 2019 | 27 |
| 4 | 2019 | 38 | |
| 5 | 2019 | 16 | |
| 6 | 2018 | 14 | |
| 7 | 2017 | 56 | |
| 8 | 2014 | 202 | |
| 9 | 2013 | 169 | |
| 10 | IL-7R{alpha} deficiency in p53null mice exacerbates thymocyte telomere erosion and lymphomagenesis | 2012 | 1 |
| 11 | 2012 | 16 | |
| 12 | 2012 | 268 | |
| 13 | 2011 | 1 | |
| 14 | 2011 | 224 | |
| 15 | 2008 | 93 | |
| 16 | 2007 | 23 | |
| 17 | 2004 | 1 | |
| 18 | 2004 | 40 | |
| 19 | 2004 | 4 | |
| 20 | 2002 | 55 |
About Ryoko Kibe
Ryoko Kibe is a scholar working on Gastroenterology, Infectious Diseases and Food Science, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Gut microbiota and health (19 papers), Probiotics and Fermented Foods (9 papers), Clostridium difficile and Clostridium perfringens research (9 papers), Gastrointestinal motility and disorders (5 papers), Diet and metabolism studies (4 papers), Polyamine Metabolism and Applications (3 papers), Cancer-related Molecular Pathways (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Biological Psychiatry (165 citations), Aging (37 citations) and Gastroenterology (108 citations). Ryoko Kibe has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Yoshimi Benno, Mitsuharu Matsumoto, Shin Kurihara, Takushi Ooga, Yuji Aiba, Yasuhiro Koga, Hisashi Ashida, Yusuke Kitada, Koji Muramatsu and Mitsuo Sakamoto. Their work appears in journals such as Scientific Reports, Bioscience of Microbiota Food and Health, The Journal of Immunology, PLoS ONE and The FASEB Journal.
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.