Kensuke Tomio

1.2k citations
27 papers · 847 · h-index 16

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Cervical Cancer and HPV Research 8
    • Reproductive System and Pregnancy 2
    • Immune Cell Function and Interaction 2

Kensuke Tomio

26 papers receiving 831 citations

Peers

Kensuke Tomio
Comparison fields: 5 of 88
  • Immunology 264
  • Cancer Research 125
  • Reproductive Medicine 71
  • Obstetrics and Gynecology 59
  • Epidemiology 255
Replace Haihe Wang with:
Haihe Wang China
Katsuyuki Adachi Japan
Jalil Hakimi Canada
Jeannette L. Tenthorey United States
Stephanie S. Liu Hong Kong
Ethan L. Morgan United Kingdom
K Poláková Slovakia
Ebrahim Faghihloo Iran
Thorsten Verch United States
Frédéric De Bels France
Kensuke Tomio relative to Haihe Wang China Haihe Wang's profile →
Citations per field
00.5×1.5×2.3×
Haihe Wang · 1×
Citations per year

Countries citing papers authored by Kensuke Tomio

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kensuke Tomio Line = papers co-authored together Kensuke Tomio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010100
2 201889
3 201488
4 201083
5 201465
6 201659
7 201656
8 201350
9 201634
10 201229
11 201223
12 202119
13 201719
14 201819
15 201817
16 201516
17 201114
18 201714
19 201712
20 201710

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 847 indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (8 papers), Endometriosis Research and Treatment (3 papers), Cancer Cells and Metastasis (3 papers), Uterine Myomas and Treatments (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Protease and Inhibitor Mechanisms (2 papers), Reproductive System and Pregnancy (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (264 citations), Cancer Research (125 citations), Reproductive Medicine (71 citations), Obstetrics and Gynecology (59 citations) and Epidemiology (255 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, Oncotarget, Vaccine, 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.

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