Dai‐Yin Lu

48 total papers · 503 total citations
21 papers, 331 citations indexed

About

Dai‐Yin Lu is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dai‐Yin Lu has authored 21 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cardiology and Cardiovascular Medicine, 3 papers in Surgery and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dai‐Yin Lu's work include Cardiovascular Function and Risk Factors (11 papers), Cardiomyopathy and Myosin Studies (10 papers) and Cardiovascular Effects of Exercise (7 papers). Dai‐Yin Lu is often cited by papers focused on Cardiovascular Function and Risk Factors (11 papers), Cardiomyopathy and Myosin Studies (10 papers) and Cardiovascular Effects of Exercise (7 papers). Dai‐Yin Lu collaborates with scholars based in Taiwan, United States and Greece. Dai‐Yin Lu's co-authors include Theodore P. Abraham, M. Roselle Abraham, Bereketeab Haileselassie, Ioannis Ventoulis, Hongyun Liu, Iraklis Pozios, Shih‐Hsien Sung, Chen‐Huan Chen, Jeffrey E. Olgin and Marco Canepa and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Scientific Reports.

In The Last Decade

Dai‐Yin Lu

17 papers receiving 327 citations

Author Peers

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

Author Last Decade Papers Cites
Dai‐Yin Lu 272 54 42 37 35 21 331
Misato Chimura 162 0.6× 59 1.1× 21 0.5× 67 1.8× 53 1.5× 24 259
Hirota Kida 258 0.9× 30 0.6× 31 0.7× 47 1.3× 14 0.4× 32 317
Michal Cohen‐Shelly 257 0.9× 36 0.7× 49 1.2× 74 2.0× 32 0.9× 13 345
W. Ehrenthal 131 0.5× 36 0.7× 66 1.6× 53 1.4× 25 0.7× 26 304
Tushar Acharya 211 0.8× 36 0.7× 36 0.9× 46 1.2× 26 0.7× 30 330
Koichi Kikuta 216 0.8× 29 0.5× 97 2.3× 39 1.1× 19 0.5× 15 353
Kuniko Yoshida 246 0.9× 34 0.6× 43 1.0× 71 1.9× 28 0.8× 29 341
Hidehiko Aoki 267 1.0× 24 0.4× 30 0.7× 38 1.0× 32 0.9× 15 333
Zaid Sabti 237 0.9× 62 1.1× 58 1.4× 33 0.9× 21 0.6× 15 292
Frank Steensgaard-Hansen 271 1.0× 23 0.4× 26 0.6× 63 1.7× 18 0.5× 15 320

Countries citing papers authored by Dai‐Yin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Dai‐Yin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dai‐Yin Lu. 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 Dai‐Yin Lu. The network helps show where Dai‐Yin Lu may publish in the future.

Co-authorship network of co-authors of Dai‐Yin Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Dai‐Yin Lu. A scholar is included among the top collaborators of Dai‐Yin Lu 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 Dai‐Yin Lu. Dai‐Yin Lu 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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