Kae Okoshi

1.2k citations
37 papers · 878 · h-index 14

Impact in

  • Oncology top 10%
    • Colorectal Cancer Surgical Treatments
    • COVID-19 and healthcare impacts
    • Chemokine receptors and signaling
    • Cancer Cells and Metastasis
  • Hepatology top 10%
    • Liver physiology and pathology

Papers in

    • Colorectal Cancer Surgical Treatments 5
    • COVID-19 and healthcare impacts 2
    • Bladder and Urothelial Cancer Treatments 2

Kae Okoshi

33 papers receiving 853 citations

Peers

Kae Okoshi
Comparison fields: 5 of 101
  • Oncology 382
  • Hepatology 53
  • Gender Studies 73
  • Surgery 154
  • Medical Laboratory Technology 5
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Kae Okoshi relative to Michael O. Meyers United States Michael O. Meyers's profile →
Citations per field
00.5×3.8×
Michael O. Meyers · 1×
Citations per year

Countries citing papers authored by Kae Okoshi

Since Specialization
Citations

This map shows the geographic impact of Kae Okoshi'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 Kae Okoshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kae Okoshi more than expected).

Fields of papers citing papers by Kae Okoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kae Okoshi. 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 Kae Okoshi. The network helps show where Kae Okoshi may publish in the future.

Co-authors

The 25 scholars most cited alongside Kae Okoshi, 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 Kae Okoshi Line = papers co-authored together Kae Okoshi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014165
2 2009136
3 2014107
4 200680
5 200856
6 201436
7 200735
8 201433
9 201628
10 201123
11 200621
12 202220
13 201219
14 202215
15 200813
16 201713
17 201713
18 201912
19 200911
20 201310

About Kae Okoshi

Kae Okoshi is a scholar working on Oncology, Surgery, Gender Studies, Pathology and Forensic Medicine and Dermatology, having authored 37 papers that have together received 878 indexed citations. Recurring topics across this work include Diversity and Career in Medicine (5 papers), Colorectal Cancer Surgical Treatments (5 papers), Global Health Workforce Issues (3 papers), Cancer and Skin Lesions (3 papers), Breast Lesions and Carcinomas (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Healthcare professionals’ stress and burnout (2 papers) and COVID-19 and healthcare impacts (2 papers). The work is most often cited by research in Oncology (382 citations), Hepatology (53 citations), Gender Studies (73 citations), Surgery (154 citations) and Medical Laboratory Technology (5 citations). Kae Okoshi has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Yoshiharu Sakai, Suguru Hasegawa, Satoshi Nagayama, Kenji Kawada, Koya Hida, Yasuko Tomizawa, Koichi Kinoshita, Hajime Kubo, Katsutoshi Kobayashi and Junichiro Kawamura. Their work appears in journals such as Surgery Today, Diseases of the Colon & Rectum, Breast Cancer, Injury and JAMA Surgery.

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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