Ken Ishitani

30 papers receiving 493 citations

Peers

Ken Ishitani
Comparison fields: 5 of 74
  • Orthopedics and Sports Medicine 68
  • Obstetrics and Gynecology 51
  • Reproductive Medicine 50
  • Endocrinology, Diabetes and Metabolism 36
  • Hepatology 16
Replace Sushant Kumar Das with:
Sushant Kumar Das China
Angela Sheu Australia
Linghong Huang United Kingdom
Zahra Zakeri Iran
Hasan Esen Türkiye
Hyung‐Jin Yoo United States
Greta Pacini Italy
Amal S. El‐Shal Egypt
Chan Yoon South Korea
Jianwei Lv China
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Citations per field
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Citations per year

Countries citing papers authored by Ken Ishitani

Since Specialization
Citations

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

Fields of papers citing papers by Ken Ishitani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200365
2 201449
3 200843
4 201735
5 200934
6 200828
7 201224
8 200423
9 201823
10 201018
11 200518
12 200517
13 201416
14 200915
15 200814
16 200512
17 200912
18 201810
19 20179
20 20087

About Ken Ishitani

Ken Ishitani is a scholar working on Molecular Biology, Orthopedics and Sports Medicine, Reproductive Medicine, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 31 papers that have together received 500 indexed citations. Recurring topics across this work include Bone health and osteoporosis research (5 papers), Ovarian cancer diagnosis and treatment (4 papers), Endometriosis Research and Treatment (3 papers), Endometrial and Cervical Cancer Treatments (3 papers), Menopause: Health Impacts and Treatments (2 papers), Reproductive System and Pregnancy (2 papers), Bone Metabolism and Diseases (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (68 citations), Obstetrics and Gynecology (51 citations), Reproductive Medicine (50 citations), Endocrinology, Diabetes and Metabolism (36 citations) and Hepatology (16 citations). Ken Ishitani has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Hiroaki Ohta, Shiro Nozawa, Hideo Matsui, Tatsuya Shimizu, Teruo Okano, Kazuya Makita, Hirochika Kitagawa, Shigeaki Kato, Hiroya Okano and Jennifer Lin. Their work appears in journals such as Journal of Bone and Mineral Metabolism, Biochemical and Biophysical Research Communications, Fertility and Sterility, Archives of Gynecology and Obstetrics 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.

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