Ken Nakamura

70 total papers · 572 total citations
33 papers, 395 citations indexed

About

Ken Nakamura is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ken Nakamura has authored 33 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pulmonary and Respiratory Medicine, 12 papers in Surgery and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ken Nakamura's work include Aortic Disease and Treatment Approaches (15 papers), Aortic aneurysm repair treatments (14 papers) and Connective tissue disorders research (8 papers). Ken Nakamura is often cited by papers focused on Aortic Disease and Treatment Approaches (15 papers), Aortic aneurysm repair treatments (14 papers) and Connective tissue disorders research (8 papers). Ken Nakamura collaborates with scholars based in Japan and United States. Ken Nakamura's co-authors include Albert J Pedroza, Michael P. Fischbein, Tsuneo Konta, Michiyasu Yamaki, S Yasui, I. Kubota, William Hiesinger, Jason Z. Cui, Cristiana Iosef and Rohan Shad and has published in prestigious journals such as Circulation, PLoS ONE and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Ken Nakamura

26 papers receiving 392 citations

Author Peers

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

Author Last Decade Papers Cites
Ken Nakamura 205 160 151 102 47 33 395
Hanna M. Björck 189 0.9× 181 1.1× 113 0.7× 59 0.6× 52 1.1× 32 417
Qingle Li 211 1.0× 76 0.5× 97 0.6× 149 1.5× 95 2.0× 25 442
Valentina Paloschi 249 1.2× 155 1.0× 117 0.8× 63 0.6× 74 1.6× 20 443
Wenjian Jiang 128 0.6× 141 0.9× 122 0.8× 37 0.4× 75 1.6× 54 412
Francesca Giacopelli 76 0.4× 62 0.4× 182 1.2× 129 1.3× 53 1.1× 21 410
Albert J Pedroza 253 1.2× 72 0.5× 146 1.0× 192 1.9× 49 1.0× 33 419
Ruo‐Min Di 101 0.5× 151 0.9× 266 1.8× 29 0.3× 40 0.9× 22 440
P Even 233 1.1× 82 0.5× 81 0.5× 45 0.4× 45 1.0× 34 433
PER ZETTERQVIST 101 0.5× 85 0.5× 114 0.8× 85 0.8× 83 1.8× 24 360
Marie Guerraty 83 0.4× 207 1.3× 84 0.6× 28 0.3× 60 1.3× 27 338

Countries citing papers authored by Ken Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Ken Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Nakamura

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