Keizo Ohnaka

122 papers receiving 3.5k citations

Peers

Keizo Ohnaka
Comparison fields: 5 of 126
  • Endocrinology, Diabetes and Metabolism 649
  • Physiology 842
  • Cardiology and Cardiovascular Medicine 654
  • Orthopedics and Sports Medicine 243
  • Nephrology 153
Replace Masashi Akaike with:
Masashi Akaike Japan
Ken‐ichi Aihara Japan
Keisuke Fukuo Japan
Tao Yang China
Paolo Sbraccia Italy
Renming Hu China
Sonia M. Najjar United States
Carlos Bernal‐Mizrachi United States
N Frisina Italy
Richard G. Larkins Australia
Keizo Ohnaka relative to Masashi Akaike Japan Masashi Akaike's profile →
Citations per field
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Citations per year

Countries citing papers authored by Keizo Ohnaka

Since Specialization
Citations

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

Fields of papers citing papers by Keizo Ohnaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005220
2 1991185
3 2009183
4 2001168
5 1990160
6 2004150
7 2010142
8 2000121
9 1993101
10 199295
11 199077
12 201069
13 200963
14 201061
15 201261
16 201158
17 201157
18 201754
19 199149
20 201046

About Keizo Ohnaka

Keizo Ohnaka is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Pathology and Forensic Medicine and Genetics, having authored 123 papers that have together received 3.6k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (12 papers), Nitric Oxide and Endothelin Effects (11 papers), Liver Disease Diagnosis and Treatment (11 papers), Estrogen and related hormone effects (10 papers), Receptor Mechanisms and Signaling (8 papers), Renin-Angiotensin System Studies (8 papers), Coffee research and impacts (8 papers) and Bone health and osteoporosis research (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (649 citations), Physiology (842 citations), Cardiology and Cardiovascular Medicine (654 citations), Orthopedics and Sports Medicine (243 citations) and Nephrology (153 citations). Keizo Ohnaka has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Ryoichi Takayanagi, Hajime Nawata, Hisaya Kawate, Suminori Kono, Masao Ōhashi, Mizuho Tanabe, Tadashi Inagami, Ken Yamamoto, Chikahisa Takasaki and R. Takayanagi. Their work appears in journals such as Biochemical and Biophysical Research Communications, Clinical Chemistry and Laboratory Medicine (CCLM), Journal of Cardiovascular Pharmacology, Journal of Epidemiology and Molecular and Cellular Endocrinology.

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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