Hae-In Lee

1.5k citations
72 papers · 1.2k · h-index 21

Impact in

    • Phytochemicals and Antioxidant Activities
    • Pharmacological Effects of Natural Compounds

Papers in

Hae-In Lee

66 papers receiving 1.1k citations

Peers

Hae-In Lee
Comparison fields: 5 of 114
  • Biochemistry 112
  • Pharmacology 115
  • Complementary and alternative medicine 105
  • Toxicology 30
  • Food Science 131
Replace Chu Won Nho with:
Chu Won Nho South Korea
Yunkyoung Lee South Korea
Hongwei Chen China
Domagoj Đikić Croatia
Hyun‐Soo Kim South Korea
Vesna Benković Croatia
Ki‐Young Kim South Korea
Jae Ho Park South Korea
Fatih Akdemir Türkiye
Belma Giray Türkiye
Hae-In Lee relative to Chu Won Nho South Korea Chu Won Nho's profile →
Citations per field
00.5×1.5×
Chu Won Nho · 1×
Citations per year

Countries citing papers authored by Hae-In Lee

Since Specialization
Citations

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

Fields of papers citing papers by Hae-In Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016109
2 200986
3 201368
4 201459
5 201446
6 201143
7 201243
8 202039
9 201537
10 201436
11 200934
12 201533
13 201628
14
Effects of ursolic acid on glucose metabolism, the polyol pathway and dyslipidemia in non-obese type 2 diabetic mice.
201428
15 201426
16 201526
17 202025
18 201024
19 201824
20 201122

About Hae-In Lee

Hae-In Lee is a scholar working on Molecular Biology, Food Science, Plant Science, Insect Science and Epidemiology, having authored 72 papers that have together received 1.2k indexed citations. Recurring topics across this work include Food Quality and Safety Studies (11 papers), Plant nutrient uptake and metabolism (6 papers), Natural product bioactivities and synthesis (6 papers), Legume Nitrogen Fixing Symbiosis (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Pharmacological Effects of Natural Compounds (6 papers), Natural Antidiabetic Agents Studies (5 papers) and Ecology and Vegetation Dynamics Studies (5 papers). The work is most often cited by research in Biochemistry (112 citations), Pharmacology (115 citations), Complementary and alternative medicine (105 citations), Toxicology (30 citations) and Food Science (131 citations). Hae-In Lee has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Mi‐Kyung Lee, Ju Ri Ham, Kwon‐Il Seo, Mi‐Ok Sim, Ra‐Yeong Choi, Myung‐Joo Kim, Jae-Seong So, Woo-Suk Chang, Myung‐Sook Choi and Han‐Wook Yoo. Their work appears in journals such as Forests, Bioorganic & Medicinal Chemistry Letters, Foods, Applied and Environmental Microbiology and Food & Function.

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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