Akiko Goda

134 total papers · 761 total citations
39 papers, 453 citations indexed

About

Akiko Goda is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Akiko Goda has authored 39 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cardiology and Cardiovascular Medicine, 7 papers in Pulmonary and Respiratory Medicine and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Akiko Goda's work include Cardiovascular Function and Risk Factors (25 papers), Cardiac Valve Diseases and Treatments (11 papers) and Cardiac pacing and defibrillation studies (9 papers). Akiko Goda is often cited by papers focused on Cardiovascular Function and Risk Factors (25 papers), Cardiac Valve Diseases and Treatments (11 papers) and Cardiac pacing and defibrillation studies (9 papers). Akiko Goda collaborates with scholars based in Japan, United States and Denmark. Akiko Goda's co-authors include John Gorcsan, Tohru Masuyama, Antonia Delgado-Montero, Bhupendar Tayal, Keiko Ryo, Masataka Sugahara, Takeshi Tsujino, Marc A. Simon, Masaaki Lee‐Kawabata and Samir Saba and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Scientific Reports.

In The Last Decade

Akiko Goda

39 papers receiving 447 citations

Author Peers

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

Author Last Decade Papers Cites
Akiko Goda 361 142 67 58 51 39 453
Georgios E. Louridas 330 0.9× 99 0.7× 89 1.3× 81 1.4× 51 1.0× 41 429
Göksel Açar 303 0.8× 81 0.6× 56 0.8× 62 1.1× 60 1.2× 53 443
Giorgio Faganello 418 1.2× 77 0.5× 128 1.9× 84 1.4× 53 1.0× 43 518
Ertan Ural 247 0.7× 90 0.6× 58 0.9× 104 1.8× 73 1.4× 49 468
Valentino Ducceschi 384 1.1× 84 0.6× 43 0.6× 64 1.1× 70 1.4× 35 483
Levent Korkmaz 324 0.9× 82 0.6× 88 1.3× 120 2.1× 63 1.2× 59 455
Joao A Lima 363 1.0× 108 0.8× 56 0.8× 172 3.0× 25 0.5× 22 471
Çağdaş Özdöl 243 0.7× 92 0.6× 84 1.3× 129 2.2× 46 0.9× 39 465
Koji Kodama 364 1.0× 73 0.5× 120 1.8× 141 2.4× 43 0.8× 37 500
Sei Fujiwara 297 0.8× 119 0.8× 130 1.9× 97 1.7× 82 1.6× 40 493

Countries citing papers authored by Akiko Goda

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Goda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akiko Goda

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