Noriko Rikitake

18 total papers · 501 total citations
9 papers, 394 citations indexed

About

Noriko Rikitake is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Noriko Rikitake has authored 9 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 5 papers in Epidemiology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Noriko Rikitake's work include Congenital Heart Disease Studies (5 papers), Cardiovascular Issues in Pregnancy (3 papers) and Coronary Artery Anomalies (3 papers). Noriko Rikitake is often cited by papers focused on Congenital Heart Disease Studies (5 papers), Cardiovascular Issues in Pregnancy (3 papers) and Coronary Artery Anomalies (3 papers). Noriko Rikitake collaborates with scholars based in Japan and Iran. Noriko Rikitake's co-authors include Hirohisa Kato, Fumio Yoshioka, T Takechi, E Ichinose, Kazushige Suzuki, Hiroki Kato, Akiko Hirose, Satoru Matsunaga, Toshiharu Kamura and Yasuki Maeno and has published in prestigious journals such as The American Journal of Cardiology, Acta Paediatrica and Ultrasound in Obstetrics and Gynecology.

In The Last Decade

Noriko Rikitake

9 papers receiving 371 citations

Hit Papers

Fate of coronary aneurysm... 1982 2026 1996 2011 1982 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Noriko Rikitake 355 315 163 39 33 9 394
T Takechi 357 1.0× 318 1.0× 157 1.0× 37 0.9× 32 1.0× 9 385
Fumio Yoshioka 393 1.1× 350 1.1× 163 1.0× 38 1.0× 39 1.2× 17 424
Joon M. Park 315 0.9× 265 0.8× 118 0.7× 39 1.0× 25 0.8× 10 410
B. McCrindle 283 0.8× 233 0.7× 79 0.5× 78 2.0× 29 0.9× 12 334
Yoshio Imada 313 0.9× 233 0.7× 90 0.6× 52 1.3× 30 0.9× 10 356
David F.J. Tollefson 212 0.6× 369 1.2× 83 0.5× 46 1.2× 62 1.9× 12 441
Matthew S. Wilder 347 1.0× 204 0.6× 62 0.4× 82 2.1× 22 0.7× 7 392
Shin-Chung Huang 218 0.6× 191 0.6× 106 0.7× 32 0.8× 176 5.3× 11 357
Alexander Tang 288 0.8× 242 0.8× 172 1.1× 39 1.0× 73 2.2× 11 385
Jeffrey D. Hosenpud 259 0.7× 60 0.2× 126 0.8× 80 2.1× 49 1.5× 9 411

Countries citing papers authored by Noriko Rikitake

Since Specialization
Citations

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

Fields of papers citing papers by Noriko Rikitake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noriko Rikitake

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