Akira Yokoi
- Cancer Research top 2%
- MicroRNA in disease regulation 21
- Cancer-related molecular mechanisms research 9
- Molecular Biology top 5%
- Extracellular vesicles in disease 19
- Circular RNAs in diseases 9
- RNA modifications and cancer 7
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment 21
- Endometriosis Research and Treatment 10
- Obstetrics and Gynecology top 5%
- Endometrial and Cervical Cancer Treatments 21
- Oncology top 10%
- Co-authors
- Takahiro OchiyaYusuke YamamotoHiroaki KajiyamaTakashi OwaTomoyasu KatoTakeshi NagasuMitsuya IshikawaFumitaka Kikkawa
- Journals
- Nature Communications (3 papers)SHILAP Revista de lepidopterología (3 papers)PLoS ONE (1 paper)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Akira Yokoi
99 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 127
- Cancer Research 958
- Molecular Biology 1.9k
- Reproductive Medicine 200
- Obstetrics and Gynecology 136
- Oncology 446
Countries citing papers authored by Akira Yokoi
This map shows the geographic impact of Akira Yokoi'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 Akira Yokoi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Yokoi more than expected).
Fields of papers citing papers by Akira Yokoi
This network shows the impact of papers produced by Akira Yokoi. 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 Akira Yokoi. The network helps show where Akira Yokoi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Akira Yokoi, 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 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 27 | |
| 14 | 2022 | 8 | |
| 15 | 2022 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2021 | 2 | |
| 18 | 2019 | 87 | |
| 19 | 2014 | 7 | |
| 20 | 2013 | 1 |
About Akira Yokoi
Akira Yokoi is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Cancer Research, having authored 111 papers that have together received 3.0k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (21 papers), MicroRNA in disease regulation (21 papers), Endometrial and Cervical Cancer Treatments (21 papers), Extracellular vesicles in disease (19 papers), Endometriosis Research and Treatment (10 papers), Cancer-related molecular mechanisms research (9 papers), Circular RNAs in diseases (9 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Cancer Research (958 citations), Molecular Biology (1.9k citations) and Reproductive Medicine (200 citations). Akira Yokoi has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Takahiro Ochiya, Yusuke Yamamoto, Hiroaki Kajiyama, Takashi Owa, Tomoyasu Kato, Takeshi Nagasu, Mitsuya Ishikawa, Fumitaka Kikkawa, Junro Kuromitsu and Naoko Hata Sugi. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.
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.