Takao Baba

67 total papers · 559 total citations
27 papers, 404 citations indexed

About

Takao Baba is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Takao Baba has authored 27 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 8 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Takao Baba's work include Cardiac Arrhythmias and Treatments (14 papers), Cardiac electrophysiology and arrhythmias (10 papers) and Atrial Fibrillation Management and Outcomes (7 papers). Takao Baba is often cited by papers focused on Cardiac Arrhythmias and Treatments (14 papers), Cardiac electrophysiology and arrhythmias (10 papers) and Atrial Fibrillation Management and Outcomes (7 papers). Takao Baba collaborates with scholars based in Japan. Takao Baba's co-authors include Youichi Kobayashi, Takashi Katagiri, Kaoru Tanno, Katsunori Ogawara, Atsushi Kasamatsu, Hideki Tanzawa, Katsuhiro Uzawa, Masashi Shiiba, Yosuke Sakamoto and Morihiro Higo and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

In The Last Decade

Takao Baba

27 papers receiving 401 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Takao Baba 224 156 54 47 35 27 404
Makiri Kawasaki 210 0.9× 196 1.3× 53 1.0× 40 0.9× 39 1.1× 25 408
Editha Andres 141 0.6× 237 1.5× 38 0.7× 28 0.6× 45 1.3× 20 391
Bingong Li 165 0.7× 196 1.3× 50 0.9× 40 0.9× 82 2.3× 25 414
Marina López‐Olañeta 214 1.0× 275 1.8× 46 0.9× 38 0.8× 73 2.1× 19 460
Zhi‐Ren Zhang 133 0.6× 176 1.1× 59 1.1× 26 0.6× 39 1.1× 25 373
Yi Yan 94 0.4× 234 1.5× 97 1.8× 64 1.4× 46 1.3× 27 449
Kazuyuki Koike 99 0.4× 166 1.1× 66 1.2× 65 1.4× 46 1.3× 29 391
Carole Proust 107 0.5× 208 1.3× 94 1.7× 19 0.4× 24 0.7× 23 443
Qiuting Feng 94 0.4× 285 1.8× 88 1.6× 32 0.7× 35 1.0× 18 384
Mimi Tamamori 145 0.6× 286 1.8× 47 0.9× 86 1.8× 52 1.5× 17 446

Countries citing papers authored by Takao Baba

Since Specialization
Citations

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

Fields of papers citing papers by Takao Baba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takao Baba

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

All Works

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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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