Jung-Hun Lee

2.1k citations
93 papers · 1.7k · h-index 23

Impact in

  • Hepatology top 1%
    • Hepatitis C virus research
    • Liver physiology and pathology
  • Epidemiology top 10%
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

Jung-Hun Lee

86 papers receiving 1.7k citations

Peers

Jung-Hun Lee
Comparison fields: 5 of 153
  • Hepatology 564
  • Epidemiology 355
  • Waste Management and Disposal 86
  • Developmental Neuroscience 31
  • Virology 32
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Levan Muskhelishvili United States
Jung-Hun Lee relative to Haoyu Wang China Haoyu Wang's profile →
Citations per field
00.5×5×10×14.3×
Haoyu Wang · 1×
Citations per year

Countries citing papers authored by Jung-Hun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jung-Hun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jung-Hun Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jung-Hun Lee Line = papers co-authored together Jung-Hun Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998147
2 1998138
3 201881
4 201970
5 200666
6 199963
7 199859
8 202155
9 201648
10 201246
11 201443
12 201343
13 201441
14 202440
15 202040
16 200039
17 200839
18 199736
19 200034
20 199531

About Jung-Hun Lee

Jung-Hun Lee is a scholar working on Hepatology, Molecular Biology, Cellular and Molecular Neuroscience, Physiology and Genetics, having authored 93 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hepatitis C virus research (10 papers), Liver physiology and pathology (9 papers), Nerve injury and regeneration (8 papers), Melanoma and MAPK Pathways (6 papers), Cancer Mechanisms and Therapy (4 papers), Pain Mechanisms and Treatments (4 papers), Computational Drug Discovery Methods (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). The work is most often cited by research in Hepatology (564 citations), Epidemiology (355 citations), Waste Management and Disposal (86 citations), Developmental Neuroscience (31 citations) and Virology (32 citations). Jung-Hun Lee has collaborated with scholars based in South Korea, Germany and Ethiopia. Frequent co-authors include Stefan Zeuzem, Sunyoung Kim, G Teuber, Willi Kurt Roth, Kurt W. Roth, Michael Wagner, Brigitte Rüster, Günter Herrmann, Christoph Sarrazin and Jürgen M. Schmidt. Their work appears in journals such as Journal of Hepatology, Biochemical and Biophysical Research Communications, Scientific Reports, Bioorganic & Medicinal Chemistry and Journal of Cellular and Molecular Medicine.

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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