Susumu Ohmori
- Physiology top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Psychiatry and Mental health top 5%
- Epidemiology
- Co-authors
- Yutaka KiyoharaTakao OhmuraMasatoshi FujishimaK NomiyamaTadamasa YoshitakeHidetoshi IwamotoM. FujishimaKazuo Kobayashi
- Topics
- Blood Pressure and Hypertension Studies (5 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)Nitric Oxide and Endothelin Effects (4 papers)
In The Last Decade
Susumu Ohmori
25 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Physiology 638
- Cardiology and Cardiovascular Medicine 501
- Endocrinology, Diabetes and Metabolism 404
- Psychiatry and Mental health 400
- Epidemiology 194
Countries citing papers authored by Susumu Ohmori
This map shows the geographic impact of Susumu Ohmori'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 Susumu Ohmori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susumu Ohmori more than expected).
Fields of papers citing papers by Susumu Ohmori
This network shows the impact of papers produced by Susumu Ohmori. 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 Susumu Ohmori. The network helps show where Susumu Ohmori may publish in the future.
Co-authorship network of co-authors of Susumu Ohmori
This figure shows the co-authorship network connecting the top 25 collaborators of Susumu Ohmori. A scholar is included among the top collaborators of Susumu Ohmori based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Susumu Ohmori. Susumu Ohmori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 40 | |
| 3 | 14 | |
| 4 | 13 | |
| 5 | 4 | |
| 6 | 62 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 31 | |
| 10 | 8 | |
| 11 | 17 | |
| 12 | 14 | |
| 13 | 46 | |
| 14 | 35 | |
| 15 | 4 | |
| 16 | Crossover comparison of the effects of enalapril and captopril on potassium homeostasis in patients with mild hypertension. | 2 |
| 17 | The Impact of Glucose Intolerance on Stroke Incidence in a 22-Year Follow-Up Study of the General Population, the Hisayama Study | 8 |
| 18 | 156 | |
| 19 | 94 | |
| 20 | 0 |
About Susumu Ohmori
Susumu Ohmori is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 26 papers that have together received 1.7k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Nitric Oxide and Endothelin Effects (4 papers). The work is most often cited by research in Psychiatry and Mental health (400 citations), Physiology (638 citations) and Endocrinology, Diabetes and Metabolism (404 citations). Susumu Ohmori has collaborated with scholars based in Japan and Kosovo. Frequent co-authors include Yutaka Kiyohara, Takao Ohmura, Masatoshi Fujishima, K Nomiyama, Tadamasa Yoshitake, Hidetoshi Iwamoto, M. Fujishima, Kazuo Kobayashi, Isao Kato and Keisuke Ueda. Their work appears in journals such as Circulation Research, Neurology and Diabetes.
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.