Takuya Fujikawa

61 total papers · 409 total citations
43 papers, 288 citations indexed

About

Takuya Fujikawa is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Takuya Fujikawa has authored 43 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pulmonary and Respiratory Medicine, 17 papers in Cardiology and Cardiovascular Medicine and 15 papers in Surgery. Recurrent topics in Takuya Fujikawa's work include Aortic Disease and Treatment Approaches (22 papers), Aortic aneurysm repair treatments (18 papers) and Cardiac Valve Diseases and Treatments (9 papers). Takuya Fujikawa is often cited by papers focused on Aortic Disease and Treatment Approaches (22 papers), Aortic aneurysm repair treatments (18 papers) and Cardiac Valve Diseases and Treatments (9 papers). Takuya Fujikawa collaborates with scholars based in Japan, China and Hong Kong. Takuya Fujikawa's co-authors include Shin Yamamoto, Randolph H.L. Wong, Shiro Sasaguri, Yuji Sekine, Simon C. Chow, Ryoji Maekura, Mari Miki, Seigo Kitada, Hisako Hashimoto and Keisuke Miki and has published in prestigious journals such as European Respiratory Journal, Journal of Thoracic and Cardiovascular Surgery and The Annals of Thoracic Surgery.

In The Last Decade

Takuya Fujikawa

38 papers receiving 280 citations

Author Peers

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

Author						Papers	Cites
Takuya Fujikawa	159	101	92	78	61	43	288
Qasim Jehangir	50 0.3×	61 0.6×	21 0.2×	59 0.8×	45 0.7×	31	224
Prapaporn Pornsuriyasak	142 0.9×	49 0.5×	61 0.7×	22 0.3×	40 0.7×	31	317
Yoshiaki Iwashita	46 0.3×	54 0.5×	27 0.3×	24 0.3×	29 0.5×	40	218
A. Martins	64 0.4×	144 1.4×	44 0.5×	19 0.2×	10 0.2×	30	330
Kelley M. Thieman Mankin	109 0.7×	150 1.5×	64 0.7×	17 0.2×	14 0.2×	33	294
Dipen Kadaria	60 0.4×	91 0.9×	67 0.7×	58 0.7×	96 1.6×	32	321
Agnieszka Skoczylas	131 0.8×	34 0.3×	23 0.3×	44 0.6×	16 0.3×	23	240
Andrea Zoia	80 0.5×	43 0.4×	38 0.4×	28 0.4×	34 0.6×	30	261
Carolina Serrano Casorrán	125 0.8×	149 1.5×	30 0.3×	30 0.4×	12 0.2×	32	296
Masoud Mohammadpour	58 0.4×	59 0.6×	114 1.2×	34 0.4×	67 1.1×	35	302

Countries citing papers authored by Takuya Fujikawa

Since Specialization

Citations

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

Fields of papers citing papers by Takuya Fujikawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Fujikawa

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