Hitoshi Ota

1.3k citations
35 papers · 970 · h-index 17

Impact in

Papers in

Hitoshi Ota

35 papers receiving 945 citations

Peers

Hitoshi Ota
Comparison fields: 5 of 91
  • Nephrology 220
  • Cardiology and Cardiovascular Medicine 359
  • Endocrinology, Diabetes and Metabolism 176
  • Public Health, Environmental and Occupational Health 172
  • Physiology 133
Replace Bixia Gao with:
Bixia Gao China
Po Huang Chiang Taiwan
Reza Mohebi United States
David Siscovick United States
Lingjuan Zhu China
Choon Lan Chang United Kingdom
Rikki M. Tanner United States
Jung Nam An South Korea
Turgay Arınsoy Türkiye
James P. Lash United States
Hitoshi Ota relative to Bixia Gao China Bixia Gao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Hitoshi Ota

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Ota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006247
2 200863
3 201163
4 201450
5 201449
6 201446
7 200843
8 200540
9 201339
10 200934
11 200934
12 201333
13 201226
14 201325
15 201723
16 201421
17 201519
18 201012
19 201712
20 202011

About Hitoshi Ota

Hitoshi Ota is a scholar working on Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Epidemiology, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 35 papers that have together received 970 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (8 papers), Obesity, Physical Activity, Diet (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Health Promotion and Cardiovascular Prevention (6 papers), Nutritional Studies and Diet (6 papers), Atrial Fibrillation Management and Outcomes (4 papers), Chronic Kidney Disease and Diabetes (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Nephrology (220 citations), Cardiology and Cardiovascular Medicine (359 citations), Endocrinology, Diabetes and Metabolism (176 citations), Public Health, Environmental and Occupational Health (172 citations) and Physiology (133 citations). Hitoshi Ota has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Toshimi Sairenchi, Fujiko Irie, Hiroyasu Iso, Kazumasa Yamagishi, Takashi Muto, Tadao Nose, Yoko Saito, Maki Kanashiki, Satoyo Ikehara and Kiyoji Tanaka. Their work appears in journals such as Journal of Epidemiology, Journal of Atherosclerosis and Thrombosis, Circulation Journal, Hypertension Research and The American Journal of Cardiology.

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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