Daisuke Matsubara

124 total papers · 888 total citations
48 papers, 462 citations indexed

About

Daisuke Matsubara is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Daisuke Matsubara has authored 48 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 17 papers in Pulmonary and Respiratory Medicine and 10 papers in Epidemiology. Recurrent topics in Daisuke Matsubara's work include Kawasaki Disease and Coronary Complications (12 papers), Coronary Artery Anomalies (8 papers) and Congenital Heart Disease Studies (6 papers). Daisuke Matsubara is often cited by papers focused on Kawasaki Disease and Coronary Complications (12 papers), Coronary Artery Anomalies (8 papers) and Congenital Heart Disease Studies (6 papers). Daisuke Matsubara collaborates with scholars based in Japan, United States and Italy. Daisuke Matsubara's co-authors include Anirban Banerjee, Renzo Calderón-Anyosa, Michael D. Quartermain, Alexa N. Hogarty, Deborah L. Torowicz, Matthew D. Elias, Therese M. Giglia, Joseph W. Rossano, Yan Wang and Masayuki Noguchi and has published in prestigious journals such as Journal of the American College of Cardiology, The Journal of Pediatrics and The American Journal of Surgical Pathology.

In The Last Decade

Daisuke Matsubara

37 papers receiving 454 citations

Author Peers

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

Author						Papers	Cites
Daisuke Matsubara	269	168	93	77	67	48	462
Ilir Hysi	248 0.9×	285 1.7×	92 1.0×	91 1.2×	64 1.0×	40	533
D Lardé	296 1.1×	158 0.9×	60 0.6×	29 0.4×	38 0.6×	33	532
J.P. Tasu	123 0.5×	202 1.2×	112 1.2×	39 0.5×	42 0.6×	43	500
G. Wittenberg	200 0.7×	228 1.4×	39 0.4×	62 0.8×	103 1.5×	38	523
Nicolò Schicchi	118 0.4×	92 0.5×	166 1.8×	154 2.0×	15 0.2×	41	510
Johannes Mueller	146 0.5×	54 0.3×	42 0.5×	65 0.8×	20 0.3×	53	463
Na Xu	106 0.4×	108 0.6×	116 1.2×	19 0.2×	46 0.7×	43	447
Kee Soo Ha	370 1.4×	321 1.9×	129 1.4×	37 0.5×	12 0.2×	39	498
Rebecca L. Smith	137 0.5×	82 0.5×	122 1.3×	23 0.3×	106 1.6×	39	495
Jonathan Cardella	300 1.1×	126 0.8×	48 0.5×	53 0.7×	52 0.8×	50	521

Countries citing papers authored by Daisuke Matsubara

Since Specialization

Citations

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

Fields of papers citing papers by Daisuke Matsubara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Matsubara

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