Dae-Yeon Lee

428 citations
40 papers · 319 · h-index 10

Impact in

Papers in

    • Ginseng Biological Effects and Applications 5
    • Pharmacological Effects of Natural Compounds 5
    • Microbial Natural Products and Biosynthesis 4
    • Fungal Biology and Applications 3

Dae-Yeon Lee

30 papers receiving 300 citations

Peers

Dae-Yeon Lee
Comparison fields: 5 of 82
  • Immunology 95
  • Pharmacology 20
  • Molecular Biology 143
  • Oncology 31
  • Nephrology 8
Replace Tian Zheng with:
Tian Zheng China
Chengfang Yao China
Xiaojun Zhang China
Sijin Li China
Javaid Alam Pakistan
Karissa Adkins United States
Heike Marxfeld Germany
Erika Rehnström Sweden
Yiliu Chen China
R. Magesh India
Dae-Yeon Lee relative to Tian Zheng China Tian Zheng's profile →
Citations per field
00.5×3.3×
Tian Zheng · 1×
Citations per year

Countries citing papers authored by Dae-Yeon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Dae-Yeon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002101
2 200249
3 202227
4 200218
5 202017
6 201912
7 202111
8 201710
9 20209
10 20219
11 20067
12 20116
13 20215
14 20205
15 20185
16 20203
17 20093
18 20232
19 20212
20 20142

About Dae-Yeon Lee

Dae-Yeon Lee is a scholar working on Molecular Biology, Pharmacology, Pharmacology, Computational Theory and Mathematics and Orthopedics and Sports Medicine, having authored 40 papers that have together received 319 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Pharmacological Effects of Natural Compounds (5 papers), Ginseng Biological Effects and Applications (5 papers), Microbial Natural Products and Biosynthesis (4 papers), Cancer Mechanisms and Therapy (3 papers), Fungal Biology and Applications (3 papers), Effects of Vibration on Health (3 papers) and Noise Effects and Management (2 papers). The work is most often cited by research in Immunology (95 citations), Pharmacology (20 citations), Molecular Biology (143 citations), Oncology (31 citations) and Nephrology (8 citations). Dae-Yeon Lee has collaborated with scholars based in South Korea and United States. Frequent co-authors include Dooil Jeoung, Sae‐Young Park, Han-Kwang Yang, Woo Ho Kim, Yung‐Jue Bang, In‐Hee Lee, Sang‐In Park, Hae‐Yeong Kim, Yeong Wook Song and Seongeun Lee. Their work appears in journals such as Natural Product Communications, Evidence-based Complementary and Alternative Medicine, Biochemical and Biophysical Research Communications, Pharmacognosy Magazine and International Journal of Molecular Sciences.

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.

Explore authors with similar magnitude of impact