Eun Mi Lee

95 total papers · 1.5k total citations
66 papers, 1.1k citations indexed

About

Eun Mi Lee is a scholar working on Molecular Biology, Genetics and Virology. According to data from OpenAlex, Eun Mi Lee has authored 66 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 17 papers in Genetics and 12 papers in Virology. Recurrent topics in Eun Mi Lee's work include Virus-based gene therapy research (12 papers), HIV Research and Treatment (12 papers) and Food Quality and Safety Studies (6 papers). Eun Mi Lee is often cited by papers focused on Virus-based gene therapy research (12 papers), HIV Research and Treatment (12 papers) and Food Quality and Safety Studies (6 papers). Eun Mi Lee collaborates with scholars based in South Korea, United States and Ethiopia. Eun Mi Lee's co-authors include Marjorie Robert-Guroff, David Venzon, Curie Ahn, Ranajit Pal, Byung Yeoup Chung, Jaeseok Yang, L. Jean Patterson, Irene Kalisz, Vaniambadi S. Kalyanaraman and Seung Sik Lee and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Journal of Virology.

In The Last Decade

Eun Mi Lee

62 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Eun Mi Lee 417 328 303 207 180 66 1.1k
C George-Nascimento 629 1.5× 314 1.0× 209 0.7× 112 0.5× 170 0.9× 40 1.4k
Yoshiko Tamura 404 1.0× 160 0.5× 172 0.6× 187 0.9× 325 1.8× 66 1.3k
Mohamed R. Mohamed 437 1.0× 300 0.9× 316 1.0× 271 1.3× 340 1.9× 54 1.3k
Lene Pedersen 423 1.0× 110 0.3× 105 0.3× 336 1.6× 68 0.4× 39 1.1k
Mireia Pelegrín 524 1.3× 99 0.3× 304 1.0× 317 1.5× 158 0.9× 40 1.3k
Eberhard Amtmann 560 1.3× 78 0.2× 174 0.6× 230 1.1× 222 1.2× 44 1.3k
Xiangwei Wang 722 1.7× 77 0.2× 167 0.6× 100 0.5× 233 1.3× 94 1.4k
Opendra K. Sharma 577 1.4× 201 0.6× 255 0.8× 86 0.4× 203 1.1× 59 1.2k
Chiara Rampazzo 949 2.3× 189 0.6× 153 0.5× 104 0.5× 206 1.1× 41 1.5k
Alexandros Zafiropoulos 620 1.5× 74 0.2× 172 0.6× 122 0.6× 158 0.9× 55 1.3k

Countries citing papers authored by Eun Mi Lee

Since Specialization
Citations

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

Fields of papers citing papers by Eun Mi Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eun Mi Lee

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