Kensuke Tomio
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Reproductive Medicine top 10%
Papers in
- Epidemiology 10
- Cervical Cancer and HPV Research 8
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- Reproductive System and Pregnancy 3
- Immunotherapy and Immune Responses 3
- Immune Response and Inflammation 3
- Co-authors
- Kei Kawana (23 shared papers)Tomoyuki Fujii (23 shared papers)Katsuyuki Adachi (23 shared papers)Katsutoshi Oda (21 shared papers)Ayumi Taguchi (18 shared papers)Satoko Kojima (9 shared papers)Aki Yamashita (16 shared papers)Yutaka Osuga (18 shared papers)
- Journals
- International Journal of Oncology (4 papers)Vaccine (3 papers)Oncotarget (3 papers)PLoS ONE (3 papers)American Journal of Reproductive Immunology (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Kensuke Tomio
26 papers receiving 779 citations
Peers
Comparison fields: 5 of 88
- Immunology 272
- Reproductive Medicine 80
- Cancer Research 134
- Obstetrics and Gynecology 65
- Epidemiology 259
Countries citing papers authored by Kensuke Tomio
This map shows the geographic impact of Kensuke Tomio'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 Kensuke Tomio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kensuke Tomio more than expected).
Fields of papers citing papers by Kensuke Tomio
This network shows the impact of papers produced by Kensuke Tomio. 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 Kensuke Tomio. The network helps show where Kensuke Tomio may publish in the future.
Co-authors
The 25 scholars most cited alongside Kensuke Tomio, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 95 | |
| 2 | 2014 | 86 | |
| 3 | 2018 | 83 | |
| 4 | 2010 | 76 | |
| 5 | 2014 | 60 | |
| 6 | 2016 | 55 | |
| 7 | 2016 | 54 | |
| 8 | 2013 | 46 | |
| 9 | 2012 | 29 | |
| 10 | 2016 | 28 | |
| 11 | 2012 | 20 | |
| 12 | 2017 | 19 | |
| 13 | 2018 | 19 | |
| 14 | 2021 | 19 | |
| 15 | 2018 | 17 | |
| 16 | 2015 | 16 | |
| 17 | 2011 | 14 | |
| 18 | 2017 | 13 | |
| 19 | 2017 | 11 | |
| 20 | 2016 | 9 |
About Kensuke Tomio
Kensuke Tomio is a scholar working on Epidemiology, Immunology, Oncology, Cancer Research and Obstetrics and Gynecology, having authored 27 papers that have together received 796 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (8 papers), Cancer Cells and Metastasis (4 papers), Endometrial and Cervical Cancer Treatments (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Endometriosis Research and Treatment (3 papers), Reproductive System and Pregnancy (3 papers), Immunotherapy and Immune Responses (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Immunology (272 citations), Reproductive Medicine (80 citations), Cancer Research (134 citations), Obstetrics and Gynecology (65 citations) and Epidemiology (259 citations). Kensuke Tomio has collaborated with scholars based in Japan and United States. Frequent co-authors include Kei Kawana, Tomoyuki Fujii, Katsuyuki Adachi, Katsutoshi Oda, Ayumi Taguchi, Satoko Kojima, Aki Yamashita, Yutaka Osuga, Masakazu Sato and Osamu Wada‐Hiraike. Their work appears in journals such as International Journal of Oncology, Vaccine, Oncotarget, PLoS ONE and American Journal of Reproductive Immunology.
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.