Toru Kawada

5.4k total citations
286 papers, 4.4k citations indexed

About

Toru Kawada is a scholar working on Cardiology and Cardiovascular Medicine, Neurology and Surgery. According to data from OpenAlex, Toru Kawada has authored 286 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 236 papers in Cardiology and Cardiovascular Medicine, 65 papers in Neurology and 56 papers in Surgery. Recurrent topics in Toru Kawada's work include Heart Rate Variability and Autonomic Control (181 papers), Vagus Nerve Stimulation Research (62 papers) and Cardiac electrophysiology and arrhythmias (55 papers). Toru Kawada is often cited by papers focused on Heart Rate Variability and Autonomic Control (181 papers), Vagus Nerve Stimulation Research (62 papers) and Cardiac electrophysiology and arrhythmias (55 papers). Toru Kawada collaborates with scholars based in Japan, United States and Brazil. Toru Kawada's co-authors include Masaru Sugimachi, Kenji Sunagawa, Toshiaki Shishido, Meihua Li, Can Zheng, Atsunori Kamiya, Kazunori Uemura, Masashi Inagaki, Shuji Shimizu and Takayuki Sato and has published in prestigious journals such as Circulation, PLoS ONE and Biomaterials.

In The Last Decade

Toru Kawada

277 papers receiving 4.3k citations

Peers

Toru Kawada
Comparison fields: 5 of 134
  • Cardiology and Cardiovascular Medicine 3.3k
  • Neurology 1.1k
  • Surgery 686
  • Biomedical Engineering 683
  • Endocrine and Autonomic Systems 648
Replace Masaru Sugimachi with:
Masaru Sugimachi Japan
Emilio Vanoli Italy
Jeffrey L. Ardell United States
Harald M. Stauss United States
Mark W. Chapleau United States
Toshiaki Shishido Japan
Hélio César Salgado Brazil
Harold D. Schultz United States
Jan Fagius Sweden
Robert B. Felder United States
Masaru Sugimachi Japan View profile →
Citations per field, relative to Toru Kawada
Toru Kawada · 1×
Citations per year, relative to Toru Kawada
Toru Kawada · 1×

Countries citing papers authored by Toru Kawada

Since Specialization
Citations

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

Fields of papers citing papers by Toru Kawada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toru Kawada

This figure shows the co-authorship network connecting the top 25 collaborators of Toru Kawada. A scholar is included among the top collaborators of Toru Kawada 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 Toru Kawada. Toru Kawada 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
# Work Indexed citations
1 1
2 0
3 1
4 2
5 4
6 2
7 4
8 3
9 23
10 7
11
Abstract 12116: Peripheral α7-Nicotinic Acetylcholine Receptors Contribute to Cardio-Protective Effects of Central Donepezil Infusion in Chronic Heart Failure Rats
0
12 1
13 19
14 10
15 5
16
交感神経性の心拍数の調節に対するシナプス前α 2 アドレナリン作動性の自己阻害とシナプス前阻害の薬理学的な増加の対照的な効果
1
17 7
18 22
19 50
20 4

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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