Junwon Lee

2.4k citations
52 papers · 2.0k indexed · h-index 20

Impact in

  • Oncology top 5%
    • Bone health and treatments
    • Peptidase Inhibition and Analysis
    • Cytokine Signaling Pathways and Interactions
    • Bone Metabolism and Diseases
    • Ginseng Biological Effects and Applications

Papers in

Junwon Lee

47 papers receiving 1.9k citations

Peers

Junwon Lee
Comparison fields: 5 of 113
  • Oncology 769
  • Molecular Biology 1.4k
  • Cancer Research 296
  • Orthopedics and Sports Medicine 168
  • Hematology 211
Replace Michael S. McQueney with:
Michael S. McQueney United States
Shigeki Saito Japan
Kasim A. Mookhtiar United States
Heather N. Yeowell United States
Gaetano Leto Italy
Caiguo Zhang United States
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Yingwei Hu United States
Qing Cao China
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Junwon Lee relative to Michael S. McQueney United States Michael S. McQueney's profile →
Citations per field
00.5×3.6×
Michael S. McQueney · 1×
Citations per year

Countries citing papers authored by Junwon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Junwon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junwon 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 Junwon Lee Line = papers co-authored together Junwon Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005300
2 2006224
3 2005219
4 2003175
5 2005119
6
Microbial conversion of major ginsenoside rb(1) to pharmaceutically active minor ginsenoside rd.
2005113
7 200586
8 199486
9 201268
10 200962
11 200747
12 201246
13 201043
14 200938
15 201035
16 200935
17 200334
18 199529
19 201021
20 199619

About Junwon Lee

Junwon Lee is a scholar working on Immunology and Allergy, Molecular Biology, Oncology, Cancer Research and Aquatic Science, having authored 52 papers that have together received 2.0k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (17 papers), Bone health and treatments (9 papers), NF-κB Signaling Pathways (5 papers), Cell Adhesion Molecules Research (3 papers), Wildlife Ecology and Conservation (3 papers), Ecology and Conservation Studies (3 papers), Bone and Joint Diseases (3 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Oncology (769 citations), Molecular Biology (1.4k citations), Cancer Research (296 citations), Orthopedics and Sports Medicine (168 citations) and Hematology (211 citations). Junwon Lee has collaborated with scholars based in South Korea, United States and Slovakia. Frequent co-authors include Nacksung Kim, Jung Ha Kim, Kabsun Kim, Hyun Kook, Kyung Keun Kim, Yongwon Choi, Hye Mi Jin, Sun Jin Choi, Jahyo Kang and G. David Roodman. Their work appears in journals such as Biochemical and Biophysical Research Communications, Blood, Bioorganic & Medicinal Chemistry Letters, Bone and Journal of Biological Chemistry.

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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