Hiroshi Kuriyama

25.1k citations
174 papers · 18.3k indexed · 7 hit papers · h-index 50

Hiroshi Kuriyama

165 papers receiving 17.4k citations

Hit Papers

Androgens Decrease Plasma Adiponectin, an Insulin-Sensiti...689199920262008201710002.0k3.0k4.0k

Peers

Hiroshi Kuriyama
Comparison fields: 5 of 161
  • Endocrine and Autonomic Systems 2.5k
  • Epidemiology 9.5k
  • Physiology 6.6k
  • Cardiology and Cardiovascular Medicine 4.0k
  • Endocrinology, Diabetes and Metabolism 1.9k
Replace Philip A. Kern with:
Philip A. Kern United States
Stuart P. Weisberg United States
Kohjiro Ueki Japan
Louis A. Tartaglia United States
Antonio Vidal‐Puig United Kingdom
Jason K. Kim United States
Anthony W. Ferrante United States
Aimin Xu Hong Kong
Hong Chen China
Saverio Cinti Italy
Hiroshi Kuriyama relative to Philip A. Kern United States Philip A. Kern's profile →
Citations per field
00.5×1.6×
Philip A. Kern · 1×
Citations per year

Countries citing papers authored by Hiroshi Kuriyama

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Kuriyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201912
2 201524
3 201217
4 200912
5 20060
6 2006140
7 2005244
8 20057
9 2004230
10
The Point of Test and Measurement for the Physical Fitness Screening and the Procedure
20040
11 200114
12 200187
13 200139
14 200129
15 20002
16 199662
17
Continuous ethanol fermentation with cell recycling using flocculating yeast
198552
18 19791
19 196749
20 19591

About Hiroshi Kuriyama

Hiroshi Kuriyama is a scholar working on Cellular and Molecular Neuroscience, Biochemistry and Physiology, having authored 174 papers that have together received 18.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (22 papers), Adipose Tissue and Metabolism (15 papers), Neuroscience and Neural Engineering (12 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers), Neuroscience and Neuropharmacology Research (11 papers), Microbial Metabolic Engineering and Bioproduction (10 papers), Fermentation and Sensory Analysis (10 papers) and Fungal and yeast genetics research (10 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.5k citations), Epidemiology (9.5k citations) and Physiology (6.6k citations). Hiroshi Kuriyama has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yūji Matsuzawa, Shinji Kihara, Tohru Funahashi, Tadashi Nakamura, Kikuko Hotta, Noriyuki Ouchi, Makoto Nishida, Shizuya Yamashita, Iichiro Shimomura and Yukio Arita. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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