Hideki Kamiya

127 papers receiving 3.1k citations

Peers

Hideki Kamiya
Comparison fields: 5 of 110
  • Genetics 422
  • Endocrinology, Diabetes and Metabolism 597
  • Physiology 789
  • Clinical Biochemistry 167
  • Cellular and Molecular Neuroscience 418
Replace Keiko Naruse with:
Keiko Naruse Japan
Mattia Albiero Italy
Rajesh Katare New Zealand
Hiroki Mizukami Japan
Massimiliano Mirabella Italy
Valentine Brussee Canada
Yuji Mizuno Japan
Carmelo Rodolico Italy
Tom A. Gardiner United Kingdom
Anne‐Marie Rodriguez France
Hideki Kamiya relative to Keiko Naruse Japan Keiko Naruse's profile →
Citations per field
00.5×1.5×
Keiko Naruse · 1×
Citations per year

Countries citing papers authored by Hideki Kamiya

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Kamiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999196
2 2008168
3 2005106
4 201198
5 201595
6 201787
7 200686
8 201085
9 201784
10 201576
11 201469
12 200467
13 201167
14 200567
15 200865
16 200360
17 200659
18 201253
19 200552
20 200651

About Hideki Kamiya

Hideki Kamiya is a scholar working on Physiology, Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery and Cellular and Molecular Neuroscience, having authored 135 papers that have together received 3.2k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (21 papers), Nerve injury and regeneration (13 papers), Metabolism, Diabetes, and Cancer (11 papers), Diabetes Treatment and Management (11 papers), Diabetes and associated disorders (9 papers), Cancer and Skin Lesions (9 papers), Botulinum Toxin and Related Neurological Disorders (8 papers) and Advanced Glycation End Products research (7 papers). The work is most often cited by research in Genetics (422 citations), Endocrinology, Diabetes and Metabolism (597 citations), Physiology (789 citations), Clinical Biochemistry (167 citations) and Cellular and Molecular Neuroscience (418 citations). Hideki Kamiya has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Jiro Nakamura, Anders A. F. Sima, Wei‐xian Zhang, Yoji Hamada, Yutaka Oiso, Keiko Naruse, Eitaro Nakashima, Masaki Kondo, Tatsuhito Himeno and Yasuo Kitajima. Their work appears in journals such as Journal of Diabetes Investigation, Diabetes, Diabetes/Metabolism Research and Reviews, Pediatric Dermatology and Biochemical and Biophysical Research Communications.

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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