Eun Y. Lee

1.2k total citations
25 papers, 988 citations indexed

About

Eun Y. Lee is a scholar working on Molecular Biology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Eun Y. Lee has authored 25 papers receiving a total of 988 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Eun Y. Lee's work include Genomics, phytochemicals, and oxidative stress (6 papers), Liver Disease Diagnosis and Treatment (4 papers) and Alcohol Consumption and Health Effects (4 papers). Eun Y. Lee is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (6 papers), Liver Disease Diagnosis and Treatment (4 papers) and Alcohol Consumption and Health Effects (4 papers). Eun Y. Lee collaborates with scholars based in United States, South Korea and Poland. Eun Y. Lee's co-authors include Howard P. Glauert, Heidi L. Weiss, B. Mark Evers, Craig J. McClain, Yekaterina Y. Zaytseva, Brett T. Spear, Job C. Tharappel, Larry W. Robertson, Hyun Sook Lee and Rajender K. Chawla and has published in prestigious journals such as Gastroenterology, Cancer Research and Brain Research.

In The Last Decade

Eun Y. Lee

25 papers receiving 975 citations

Peers

Eun Y. Lee
Comparison fields: 5 of 99
  • Molecular Biology 451
  • Cancer Research 368
  • Pathology and Forensic Medicine 147
  • Epidemiology 146
  • Oncology 118
Replace Carmen Aceves with:
Carmen Aceves Mexico
Gabriella Simbula Italy
Bo Kang China
Sho Kobayashi Japan
Bryan Harder United States
Raúl Castro-Portuguez United States
Linlin Sun China
Teresa Iantomasi Italy
Jan-Åke Gustafsson Sweden
Carmen Aceves Mexico View profile →
Citations per field, relative to Eun Y. Lee
Eun Y. Lee · 1×
Citations per year, relative to Eun Y. Lee
Eun Y. Lee · 1×

Countries citing papers authored by Eun Y. Lee

Since Specialization
Citations

This map shows the geographic impact of Eun Y. 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 Y. 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 Y. Lee more than expected).

Fields of papers citing papers by Eun Y. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eun Y. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Eun Y. Lee. A scholar is included among the top collaborators of Eun Y. 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 Y. Lee. Eun Y. Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 26
3 58
4 50
5 5
6 20
7 19
8 5
9 121
10 39
11 167
12 14
13 20
14 33
15 11
16 13
17 92
18 16
19 47
20 58

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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