Takuya Ohashi

896 citations
42 papers · 450 · h-index 12

Impact in

Papers in

Takuya Ohashi

39 papers receiving 437 citations

Peers

Takuya Ohashi
Comparison fields: 5 of 78
  • Cardiology and Cardiovascular Medicine 163
  • Biochemistry 32
  • Genetics 71
  • Endocrinology, Diabetes and Metabolism 34
  • Molecular Biology 126
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Carmen Theek Germany
Oana C. Kulterer Austria
Nancy L. Sehgel United States
Yangbo Liu China
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Citations per year

Countries citing papers authored by Takuya Ohashi

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Ohashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201887
2 199461
3 200842
4 201728
5 201822
6 199621
7 201718
8 202018
9
A Theoretical Model for the Hormetic Dose-response Curve for Anticancer Agents.
201517
10 201714
11 201014
12
Class III Beta-tubulin Expression in Non-small Cell Lung Cancer: A Predictive Factor for Paclitaxel Response.
201513
13 201810
14 20199
15 20189
16 20148
17 20087
18 20176
19 20206
20 20176

About Takuya Ohashi

Takuya Ohashi is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 42 papers that have together received 450 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (10 papers), Cardiac Arrhythmias and Treatments (3 papers), Pituitary Gland Disorders and Treatments (3 papers), Cardiac Imaging and Diagnostics (3 papers), Acute Myocardial Infarction Research (3 papers), Streptococcal Infections and Treatments (2 papers), Retinoids in leukemia and cellular processes (2 papers) and Cardiac tumors and thrombi (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (163 citations), Biochemistry (32 citations), Genetics (71 citations), Endocrinology, Diabetes and Metabolism (34 citations) and Molecular Biology (126 citations). Takuya Ohashi has collaborated with scholars based in Japan. Frequent co-authors include Takashi Kanda, Kiyonori Nanto, Osamu Iida, Yasuhiro Matsuda, Masaharu Masuda, Takuya Tsujimura, Takayuki Ishihara, Shin Okamoto, Masashi Fujita and Makoto Motono. Their work appears in journals such as EP Europace, International Journal of Cardiology, Journal of the American College of Cardiology, Surgery Today and Dose-Response.

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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