Keisuke Ohba

2.4k citations
24 papers · 1.7k · h-index 15

Impact in

Papers in

Keisuke Ohba

23 papers receiving 1.6k citations

Peers

Keisuke Ohba
Comparison fields: 5 of 88
  • Cardiology and Cardiovascular Medicine 689
  • Endocrinology, Diabetes and Metabolism 304
  • Immunology 170
  • Radiology, Nuclear Medicine and Imaging 166
  • Internal Medicine 20
Replace Toshimitsu Nozaki with:
Toshimitsu Nozaki Japan
Rajesh Puranik Australia
Toshiyuki Matsumura Japan
Yuji Miyao Japan
Evren Caglayan Germany
Xavier García–Moll Spain
Włodzimierz J. Musiał Poland
Masaru Hayashi Japan
Li‐Ming Gan Sweden
Mengqi Gong China
Keisuke Ohba relative to Toshimitsu Nozaki Japan Toshimitsu Nozaki's profile →
Citations per field
00.5×1.5×1.9×
Toshimitsu Nozaki · 1×
Citations per year

Countries citing papers authored by Keisuke Ohba

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Ohba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012233
2 2012222
3 2009222
4 2010176
5 2013159
6 2011149
7 2013117
8 2009101
9 201096
10 201089
11 201026
12 201519
13 200918
14 200717
15 201515
16 201310
17 200410
18 20172
19 20112
20 20122

About Keisuke Ohba

Keisuke Ohba is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (3 papers), Diabetes Treatment and Management (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Cardiovascular Function and Risk Factors (2 papers), Cardiac Imaging and Diagnostics (2 papers), Biomarkers in Disease Mechanisms (1 paper), Blood Pressure and Hypertension Studies (1 paper) and Fluid Dynamics Simulations and Interactions (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (689 citations), Endocrinology, Diabetes and Metabolism (304 citations), Immunology (170 citations), Radiology, Nuclear Medicine and Imaging (166 citations) and Internal Medicine (20 citations). Keisuke Ohba has collaborated with scholars based in Japan. Frequent co-authors include Hisao Ogawa, Seigo Sugiyama, Koichi Sugamura, Hitoshi Sumida, Toshimitsu Nozaki, Junichi Matsubara, Kunihiko Matsui, Yasushi Matsuzawa, Masaaki Konishi and Koichi Kaikita. Their work appears in journals such as Journal of the American College of Cardiology, Journal of Cardiology, Atherosclerosis, Circulation and Journal of Atherosclerosis and Thrombosis.

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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