Toyonobu Tsuda

536 total citations
34 papers, 301 citations indexed

About

Toyonobu Tsuda is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Internal Medicine. According to data from OpenAlex, Toyonobu Tsuda has authored 34 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 2 papers in Internal Medicine. Recurrent topics in Toyonobu Tsuda's work include Cardiac Arrhythmias and Treatments (17 papers), Atrial Fibrillation Management and Outcomes (17 papers) and Cardiac electrophysiology and arrhythmias (16 papers). Toyonobu Tsuda is often cited by papers focused on Cardiac Arrhythmias and Treatments (17 papers), Atrial Fibrillation Management and Outcomes (17 papers) and Cardiac electrophysiology and arrhythmias (16 papers). Toyonobu Tsuda collaborates with scholars based in Japan, United States and Belgium. Toyonobu Tsuda's co-authors include Kenshi Hayashi, Masakazu Yamagishi, Masa‐aki Kawashiri, Tetsuo Konno, Yoshihiro Tanaka, Noboru Fujino, Kenji Sakata, Hayato Tada, Akihiro Nomura and Yoji Nagata and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nutrients and JAMA Network Open.

In The Last Decade

Toyonobu Tsuda

30 papers receiving 293 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Toyonobu Tsuda Japan 11 264 62 39 17 15 34 301
Paramdeep Baweja United States 7 114 0.4× 60 1.0× 19 0.5× 19 1.1× 22 1.5× 20 167
Jayakeerthi Y. Rao Belgium 9 256 1.0× 66 1.1× 21 0.5× 10 0.6× 19 1.3× 12 291
Hiroya Matsumura Japan 10 237 0.9× 73 1.2× 19 0.5× 17 1.0× 9 0.6× 24 269
Masahiro Wanezaki Japan 8 128 0.5× 54 0.9× 31 0.8× 26 1.5× 22 1.5× 29 214
Jiunn‐Lee Lin Taiwan 12 259 1.0× 54 0.9× 38 1.0× 24 1.4× 43 2.9× 21 310
Yuko Miki Japan 10 266 1.0× 48 0.8× 14 0.4× 21 1.2× 21 1.4× 34 330
Luigi Falco Italy 7 86 0.3× 38 0.6× 14 0.4× 13 0.8× 29 1.9× 20 156
Alexander Peikert United States 8 133 0.5× 36 0.6× 34 0.9× 10 0.6× 36 2.4× 20 237
Nixiao Zhang China 9 276 1.0× 32 0.5× 4 0.1× 17 1.0× 42 2.8× 29 308
Tanya Stubblefield United States 9 539 2.0× 187 3.0× 7 0.2× 15 0.9× 11 0.7× 13 593

Countries citing papers authored by Toyonobu Tsuda

Since Specialization
Citations

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

Fields of papers citing papers by Toyonobu Tsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toyonobu Tsuda

This figure shows the co-authorship network connecting the top 25 collaborators of Toyonobu Tsuda. A scholar is included among the top collaborators of Toyonobu Tsuda 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 Toyonobu Tsuda. Toyonobu Tsuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tada, Hayato, Hirofumi Okada, Shohei Yoshida, et al.. (2024). Impact of Genetic Testing and Sex Differences among Patients with Familial Hypercholesterolemia: The Hokuriku-plus Familial Hypercholesterolemia Registry Study. Journal of Atherosclerosis and Thrombosis. 32(7). 887–895.
3.
Tsuda, Toyonobu, Kenshi Hayashi, Takashi Kusayama, et al.. (2024). Effects of Longitudinal Changes in Anemia Status on Clinical Outcomes in Patients With Non-Valvular Atrial Fibrillation ― Analysis From the Hokuriku-Plus AF Registry ―. Circulation Journal. 89(2). 164–173. 2 indexed citations
4.
Kato, Takeshi, Kazuo Usuda, Takashi Kusayama, et al.. (2024). Preclose Versus Postclose Using Suture-Mediated Vascular Closure System for Catheter Ablation With Femoral Vein Access. JACC. Clinical electrophysiology. 10(8). 1828–1836. 1 indexed citations
5.
Akao, Masaharu, Hirofumi Tomita, Michikazu Nakai, et al.. (2024). A Novel Risk Score for Major Bleeding in Japanese Patients with Non-Valvular Atrial Fibrillation: The J-RISK AF Study. Journal of Atherosclerosis and Thrombosis. 31(11). 1591–1606. 2 indexed citations
6.
Hayashi, Kenshi, Tadashi Nakajima, Yasutaka Kurata, et al.. (2023). Mechanisms of fever-induced QT prolongation and torsades de pointes in patients with KCNH2 mutation. EP Europace. 25(6). 2 indexed citations
7.
Kato, Takeshi, et al.. (2023). Prediction of atrioventricular conduction disturbance after ablation of persistent atrial fibrillation. Journal of Electrocardiology. 79. 30–34.
8.
Kato, Takeshi, Kazuo Usuda, Takashi Kusayama, et al.. (2022). Ablation index-guided high-power vs. moderate-power cavotricuspid isthmus ablation. Heart and Vessels. 38(1). 90–95. 1 indexed citations
9.
Kodani, Eitaro, Hirofumi Tomita, Michikazu Nakai, et al.. (2022). Impact of baseline blood pressure on adverse outcomes in Japanese patients with non-valvular atrial fibrillation: the J-RISK AF. European Heart Journal Open. 2(6). oeac081–oeac081. 1 indexed citations
10.
Okumura, Ken, Hirofumi Tomita, Michikazu Nakai, et al.. (2021). A Novel Risk Stratification System for Ischemic Stroke in Japanese Patients With Non-Valvular Atrial Fibrillation. Circulation Journal. 85(8). 1254–1262. 18 indexed citations
11.
Okumura, Ken, Hirofumi Tomita, Michikazu Nakai, et al.. (2020). Risk Factors Associated With Ischemic Stroke in Japanese Patients With Nonvalvular Atrial Fibrillation. JAMA Network Open. 3(4). e202881–e202881. 33 indexed citations
12.
Tanaka, Yoshihiro, Kenshi Hayashi, Noboru Fujino, et al.. (2018). Functional analysis of KCNH2 gene mutations of type 2 long QT syndrome in larval zebrafish using microscopy and electrocardiography. Heart and Vessels. 34(1). 159–166. 12 indexed citations
13.
Tsuda, Toyonobu, Kenshi Hayashi, Noboru Fujino, et al.. (2018). Effect of hypertrophic cardiomyopathy on the prediction of thromboembolism in patients with nonvalvular atrial fibrillation. Heart Rhythm. 16(6). 829–837. 14 indexed citations
14.
Hayashi, Kenshi, Toyonobu Tsuda, Akihiro Nomura, et al.. (2018). Impact of B-Type Natriuretic Peptide Level on Risk Stratification of Thromboembolism and Death in Patients With Nonvalvular Atrial Fibrillation ― The Hokuriku-Plus AF Registry ―. Circulation Journal. 82(5). 1271–1278. 26 indexed citations
15.
Tanaka, Yoshihiro, Tetsuo Konno, Toyonobu Tsuda, et al.. (2017). Impact of T wave amplitude in lead aVR on predicting cardiac events in ischemic and nonischemic cardiomyopathy patients with an implantable cardioverter defibrillator. Annals of Noninvasive Electrocardiology. 22(6). 10 indexed citations
16.
Tsuda, Toyonobu, Kenshi Hayashi, Tetsuo Konno, et al.. (2017). J Waves for Predicting Cardiac Events in Hypertrophic Cardiomyopathy. JACC. Clinical electrophysiology. 3(10). 1136–1142. 14 indexed citations
17.
Karashima, Shigehiro, Toyonobu Tsuda, Yusuke Wakabayashi, et al.. (2017). Ventricular Fibrillation Associated With Dynamic Changes in J-Point Elevation in a Patient With Silent Thyroiditis. Journal of the Endocrine Society. 2(2). 135–139.
18.
Tanaka, Yoshihiro, Tetsuo Konno, Shohei Yoshida, et al.. (2016). T wave amplitude in lead aVR as a novel diagnostic marker for cardiac sarcoidosis. Heart and Vessels. 32(3). 352–358. 9 indexed citations
19.
Hayashi, Kenshi, Tetsuo Konno, Noboru Fujino, et al.. (2016). Impact of Updated Diagnostic Criteria for Long QT Syndrome on Clinical Detection of Diseased Patients. JACC. Clinical electrophysiology. 2(3). 279–287. 5 indexed citations
20.
Liu, Li, Kenshi Hayashi, Tomoya Kaneda, et al.. (2012). A novel mutation in the transmembrane nonpore region of the KCNH2 gene causes severe clinical manifestations of long QT syndrome. Heart Rhythm. 10(1). 61–67. 16 indexed citations

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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