Ken Hashimoto

497 papers receiving 11.3k citations

Peers

Ken Hashimoto
Comparison fields: 5 of 166
  • Dermatology 2.8k
  • Cell Biology 2.8k
  • Pathology and Forensic Medicine 1.6k
  • Urology 559
  • Genetics 2.0k
Replace Mark R. Pittelkow with:
Mark R. Pittelkow United States
Louis Dubertret France
Yoshiki Miyachi Japan
Stuart H. Yuspa United States
Hachiro Tagami Japan
Sem H. Phan United States
Setsuya Aiba Japan
Shigeru Kinoshita Japan
Joost Schalkwijk Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Ken Hashimoto

Since Specialization
Citations

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

Fields of papers citing papers by Ken Hashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 505 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Electron microscopic study of reticulohistiocytoma. An unusual case of congenital, self-healing reticulohistiocytosis.
1973174
2 1965157
3 1968151
4
The ultrastructure of the skin of human embryos. X. Merkel tactile cells in the finger and nail.
1972128
5 1979124
6 1973122
7 2005121
8 2001120
9 1986115
10 1967113
11 2002112
12
Tumor-specificity and apoptosis-inducing activity of stilbenes and flavonoids.
2005109
13 1989107
14 1983106
15 1971105
16 1974104
17
Collagenolytic activities of squamous cell carcinoma of the skin.
1973102
18 196699
19 197793
20 196692

About Ken Hashimoto

Ken Hashimoto is a scholar working on Molecular Biology, Cell Biology, Dermatology, Genetics and Pathology and Forensic Medicine, having authored 505 papers that have together received 12.6k indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (92 papers), Cancer and Skin Lesions (58 papers), Genetic and rare skin diseases. (35 papers), Dermatological and Skeletal Disorders (32 papers), Autoimmune Bullous Skin Diseases (31 papers), Hair Growth and Disorders (27 papers), melanin and skin pigmentation (24 papers) and Cell Adhesion Molecules Research (21 papers). The work is most often cited by research in Dermatology (2.8k citations), Cell Biology (2.8k citations), Pathology and Forensic Medicine (1.6k citations), Urology (559 citations) and Genetics (2.0k citations). Ken Hashimoto has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Walter F. Lever, Bernard G. Gross, Masanobu Kumakiri, Hiroshi Sakagami, Yuji Yamanishi, Hitoshi Kobayashi, Yutaka NARISAWA, Mustafa Kh. Dabbous, Hagai Rottenberg and Tamotsu Kanzaki. Their work appears in journals such as Journal of Investigative Dermatology, Journal of Cutaneous Pathology, The Journal of Dermatology, Journal of the American Academy of Dermatology and Archives of Dermatological Research.

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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