Hideyuki Ujiie

4.1k citations
212 papers · 3.0k · h-index 27

Impact in

Papers in

Hideyuki Ujiie

190 papers receiving 3.0k citations

Peers

Hideyuki Ujiie
Comparison fields: 5 of 102
  • Genetics 1.3k
  • Pathology and Forensic Medicine 2.0k
  • Rheumatology 1.2k
  • Dermatology 339
  • Urology 122
Replace Hiroaki Iwata with:
Hiroaki Iwata Japan
David T. Woodley United States
Biagio Didona Italy
Akihiko Shibaki Japan
Hideo Yaoita Japan
R E Jordon United States
Lionel Fontao Switzerland
Hiroaki Ueki Japan
Shadmehr Demehri United States
E.‐B. Bröcker Germany
Hideyuki Ujiie relative to Hiroaki Iwata Japan Hiroaki Iwata's profile →
Citations per field
00.5×2×3×3.8×
Hiroaki Iwata · 1×
Citations per year

Countries citing papers authored by Hideyuki Ujiie

Since Specialization
Citations

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

Fields of papers citing papers by Hideyuki Ujiie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 212 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018260
2 2016188
3 2017118
4 2022116
5 2017104
6 201493
7 201483
8 201870
9 201266
10 201065
11 201956
12 201555
13 201054
14 201050
15 201945
16 200640
17 200739
18 200438
19 200937
20 201037

About Hideyuki Ujiie

Hideyuki Ujiie is a scholar working on Pathology and Forensic Medicine, Genetics, Rheumatology, Dermatology and Cell Biology, having authored 212 papers that have together received 3.0k indexed citations. Recurring topics across this work include Autoimmune Bullous Skin Diseases (111 papers), Urticaria and Related Conditions (72 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (69 papers), Cancer and Skin Lesions (19 papers), Skin and Cellular Biology Research (16 papers), Hair Growth and Disorders (11 papers), Cutaneous lymphoproliferative disorders research (10 papers) and Dermatological and Skeletal Disorders (10 papers). The work is most often cited by research in Genetics (1.3k citations), Pathology and Forensic Medicine (2.0k citations), Rheumatology (1.2k citations), Dermatology (339 citations) and Urology (122 citations). Hideyuki Ujiie has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Hiroshi Shimizu, Wataru Nishie, Ken Natsuga, Hiroaki Iwata, Kentaro Izumi, Satoru Shinkuma, Akihiko Shibaki, Daisuke Sawamura, Hideki Nakamura and Yosuke Mai. Their work appears in journals such as The Journal of Dermatology, British Journal of Dermatology, Journal of Investigative Dermatology, Clinical and Experimental Dermatology and Journal of Dermatological Science.

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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