Yuichi Mitobe
Impact in
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- RNA modifications and cancer 8
- RNA Research and Splicing 6
- Circular RNAs in diseases 3
-
- Cancer-related molecular mechanisms research 8
- Co-authors
- Satoshi Inoue (10 shared papers)Jun‐ichirou Yasunaga (6 shared papers)Masao Matsuoka (6 shared papers)Kuniko Horie‐Inoue (7 shared papers)Kazuhiro Ikeda (9 shared papers)Ken‐ichi Takayama (3 shared papers)Rie Furuta (2 shared papers)Kenji Sugata (3 shared papers)
- Journals
- Cancer Research (3 papers)Alimentary Pharmacology & Therapeutics (2 papers)Cancer Science (2 papers)International Journal of Molecular Sciences (2 papers)Cancers (1 paper)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Yuichi Mitobe
19 papers receiving 692 citations
Peers
Comparison fields: 5 of 75
- Agronomy and Crop Science 240
- Cancer Research 240
- Immunology 303
- Ecology, Evolution, Behavior and Systematics 227
- Molecular Biology 322
Countries citing papers authored by Yuichi Mitobe
This map shows the geographic impact of Yuichi Mitobe'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 Yuichi Mitobe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuichi Mitobe more than expected).
Fields of papers citing papers by Yuichi Mitobe
This network shows the impact of papers produced by Yuichi Mitobe. 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 Yuichi Mitobe. The network helps show where Yuichi Mitobe may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuichi Mitobe, 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 | 2018 | 73 | |
| 2 | 2015 | 72 | |
| 3 | 2016 | 66 | |
| 4 | 2019 | 64 | |
| 5 | 2015 | 59 | |
| 6 | 2016 | 55 | |
| 7 | 2019 | 51 | |
| 8 | 2000 | 38 | |
| 9 | 2016 | 36 | |
| 10 | 2020 | 34 | |
| 11 | 2020 | 30 | |
| 12 | 2020 | 21 | |
| 13 | 2002 | 18 | |
| 14 | 2018 | 18 | |
| 15 | 2020 | 17 | |
| 16 | 2000 | 15 | |
| 17 | 2022 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2021 | 8 |
About Yuichi Mitobe
Yuichi Mitobe is a scholar working on Molecular Biology, Cancer Research, Agronomy and Crop Science, Immunology and Ecology, Evolution, Behavior and Systematics, having authored 19 papers that have together received 694 indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (8 papers), Animal Disease Management and Epidemiology (6 papers), T-cell and Retrovirus Studies (6 papers), RNA Research and Splicing (6 papers), Vector-Borne Animal Diseases (5 papers), Circular RNAs in diseases (3 papers) and Advanced Chemical Sensor Technologies (1 paper). The work is most often cited by research in Agronomy and Crop Science (240 citations), Cancer Research (240 citations), Immunology (303 citations), Ecology, Evolution, Behavior and Systematics (227 citations) and Molecular Biology (322 citations). Yuichi Mitobe has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Satoshi Inoue, Jun‐ichirou Yasunaga, Masao Matsuoka, Kuniko Horie‐Inoue, Kazuhiro Ikeda, Ken‐ichi Takayama, Rie Furuta, Kenji Sugata, Hidetaka Kawabata and Takashi Suzuki. Their work appears in journals such as Cancer Research, Alimentary Pharmacology & Therapeutics, Cancer Science, International Journal of Molecular Sciences and Cancers.
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.