Ga Yeon Lee

65 total papers · 1.1k total citations
45 papers, 713 citations indexed

About

Ga Yeon Lee is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Ga Yeon Lee has authored 45 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cardiology and Cardiovascular Medicine, 15 papers in Molecular Biology and 13 papers in Surgery. Recurrent topics in Ga Yeon Lee's work include Amyloidosis: Diagnosis, Treatment, Outcomes (13 papers), Cardiovascular Function and Risk Factors (8 papers) and Parathyroid Disorders and Treatments (7 papers). Ga Yeon Lee is often cited by papers focused on Amyloidosis: Diagnosis, Treatment, Outcomes (13 papers), Cardiovascular Function and Risk Factors (8 papers) and Parathyroid Disorders and Treatments (7 papers). Ga Yeon Lee collaborates with scholars based in South Korea, United States and Canada. Ga Yeon Lee's co-authors include Eun‐Seok Jeon, Seung‐Hyuk Choi, Jin‐Oh Choi, Duk‐Kyung Kim, Yeon Hyeon Choe, Seok Jin Kim, Eun Kyoung Kim, Kihyun Kım, Shin Yi Jang and Young Bin Song and has published in prestigious journals such as Scientific Reports, Radiology and The American Journal of Cardiology.

In The Last Decade

Ga Yeon Lee

41 papers receiving 704 citations

Author Peers

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

Author Last Decade Papers Cites
Ga Yeon Lee 265 225 197 192 141 45 713
Peter P. McKeown 321 1.2× 318 1.4× 174 0.9× 128 0.7× 89 0.6× 49 797
Gaurav Gulati 320 1.2× 179 0.8× 120 0.6× 54 0.3× 103 0.7× 50 749
G. Gahide 250 0.9× 174 0.8× 119 0.6× 123 0.6× 35 0.2× 45 660
Rosa Caruso 106 0.4× 176 0.8× 92 0.5× 116 0.6× 161 1.1× 38 769
Kota Ono 105 0.4× 240 1.1× 124 0.6× 95 0.5× 35 0.2× 46 769
Emanuele Pilato 564 2.1× 331 1.5× 247 1.3× 73 0.4× 111 0.8× 62 858
Nikant Sabharwal 322 1.2× 111 0.5× 95 0.5× 172 0.9× 84 0.6× 45 795
Andrew Chukwuemeka 411 1.6× 270 1.2× 174 0.9× 45 0.2× 86 0.6× 35 647
Hutchins Gm 236 0.9× 354 1.6× 199 1.0× 109 0.6× 54 0.4× 45 769
Yoram Neuman 317 1.2× 284 1.3× 187 0.9× 55 0.3× 76 0.5× 46 888

Countries citing papers authored by Ga Yeon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Ga Yeon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ga Yeon Lee. 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 Ga Yeon Lee. The network helps show where Ga Yeon Lee may publish in the future.

Co-authorship network of co-authors of Ga Yeon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Ga Yeon Lee. A scholar is included among the top collaborators of Ga Yeon Lee 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 Ga Yeon Lee. Ga Yeon Lee 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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