Takao Ikeda

58 total papers · 614 total citations
24 papers, 491 citations indexed

About

Takao Ikeda is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Takao Ikeda has authored 24 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Takao Ikeda's work include Blood Pressure and Hypertension Studies (4 papers), Renal and Vascular Pathologies (4 papers) and Hormonal Regulation and Hypertension (4 papers). Takao Ikeda is often cited by papers focused on Blood Pressure and Hypertension Studies (4 papers), Renal and Vascular Pathologies (4 papers) and Hormonal Regulation and Hypertension (4 papers). Takao Ikeda collaborates with scholars based in Japan, United States and China. Takao Ikeda's co-authors include Hideo UEDA, Tadanao Takeda, Yoshihiro Kaneko, Kenji Mizutani, Masazumi Miyakoshi, Yukiyoshi Tamura, Ryoji Kasai, Kazuo Yamasaki, Osamu Tanaka and Kazuhiro Ohtani and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Circulation Research.

In The Last Decade

Takao Ikeda

21 papers receiving 413 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 Ikeda 163 128 87 86 67 24 491
Ioana Para 124 0.8× 68 0.5× 42 0.5× 29 0.3× 81 1.2× 28 508
Irmak Ferah Okkay 129 0.8× 49 0.4× 39 0.4× 43 0.5× 26 0.4× 30 446
Ahmad S. Azhar 67 0.4× 76 0.6× 34 0.4× 63 0.7× 60 0.9× 39 426
Adam Myers 109 0.7× 79 0.6× 41 0.5× 24 0.3× 116 1.7× 15 530
Xiaofei Zhang 168 1.0× 163 1.3× 59 0.7× 18 0.2× 33 0.5× 36 500
Babak Baharvand-Ahmadi 56 0.3× 78 0.6× 66 0.8× 75 0.9× 74 1.1× 23 419
Valentina Spini 176 1.1× 170 1.3× 18 0.2× 41 0.5× 36 0.5× 34 511
U Schmidt 126 0.8× 86 0.7× 27 0.3× 41 0.5× 22 0.3× 41 466
Ding Ding 130 0.8× 65 0.5× 146 1.7× 94 1.1× 19 0.3× 20 533
Andreea Liana Răchişan 140 0.9× 25 0.2× 40 0.5× 38 0.4× 62 0.9× 25 517

Countries citing papers authored by Takao Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Takao Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takao Ikeda

This figure shows the co-authorship network connecting the top 25 collaborators of Takao Ikeda. A scholar is included among the top collaborators of Takao Ikeda 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 Ikeda. Takao Ikeda 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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