Hyun Lee

6.1k total citations
133 papers, 3.8k citations indexed

About

Hyun Lee is a scholar working on Molecular Biology, Infectious Diseases and Oncology. According to data from OpenAlex, Hyun Lee has authored 133 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 21 papers in Infectious Diseases and 18 papers in Oncology. Recurrent topics in Hyun Lee's work include Computational Drug Discovery Methods (15 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Protease and Inhibitor Mechanisms (7 papers). Hyun Lee is often cited by papers focused on Computational Drug Discovery Methods (15 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Protease and Inhibitor Mechanisms (7 papers). Hyun Lee collaborates with scholars based in United States, South Korea and China. Hyun Lee's co-authors include Eun Seok Kang, Moonsoo Park, Mankil Jung, Sang Woo Kim, Michael E. Johnson, Charles R. Mackay, Peter L Whitfeld, Lijun Rong, Laura Cooper and Kiira Ratia and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Hyun Lee

128 papers receiving 3.7k citations

Peers

Hyun Lee
Comparison fields: 5 of 159
  • Molecular Biology 1.7k
  • Infectious Diseases 580
  • Immunology 514
  • Oncology 406
  • Computational Theory and Mathematics 395
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David A. Ostrov United States
Dan Li China
Tiziano Gallo Cassarino United Kingdom
Cheng Yang China
Shengqi Wang China
Lin Zhang China
Zhe Zhou China
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Christos Colovos United States View profile →
Citations per field, relative to Hyun Lee
Hyun Lee · 1×
Citations per year, relative to Hyun Lee
Hyun Lee · 1×

Countries citing papers authored by Hyun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hyun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyun Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Hyun Lee. A scholar is included among the top collaborators of Hyun 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 Hyun Lee. Hyun 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 5
3 10
4 0
5 7
6 14
7 6
8 10
9 14
10 15
11 14
12 3
13 8
14 46
15 24
16 17
17 86
18
A Study on the Effect of Herbal-acupuncture with Artemisiae Capillaris Herba at GB34 on Hyperlipidemia in Rat
1
19 5
20
REDOX CHEMISTRY AND VALENCE TAUTOMERISM OF COBALT-QUINONE COMPLEXES IN NONAQUEOUS SOLVENTS
2

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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