Dong‐Ha Lee

76 papers receiving 864 citations

Peers

Dong‐Ha Lee
Comparison fields: 5 of 104
  • Pharmacology 128
  • Biotechnology 124
  • Complementary and alternative medicine 97
  • Biochemistry 50
  • Food Science 135
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Ahmed Olatunde Nigeria
Mario Ferrari Italy
Sanjaya K. Mallick India
Ahmed E. Altyar Saudi Arabia
Rodrigo Maia de Pádua Brazil
Surjeet Singh India
Beihua Bao China
Asmaa Saleh Saudi Arabia
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Citations per year

Countries citing papers authored by Dong‐Ha Lee

Since Specialization
Citations

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

Fields of papers citing papers by Dong‐Ha Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200061
2 200659
3 201846
4 201241
5 199338
6 201334
7 201332
8 201230
9 201229
10 200128
11 202125
12 202024
13
Assessment of Contamination Levels of Foodborne Pathogens Isolated in Major RTE Foods Marketed in Convenience Stores
200522
14 201820
15 201919
16 202218
17 201518
18 202317
19
Predictive modeling for the growth of Listeria monocytogenes as a function of temperature, NaCl, and pH
200516
20 202216

About Dong‐Ha Lee

Dong‐Ha Lee is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Complementary and alternative medicine, Pharmacology and Pharmacology, having authored 85 papers that have together received 917 indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (11 papers), Pharmacological Effects of Natural Compounds (10 papers), Platelet Disorders and Treatments (9 papers), Traditional Chinese Medicine Analysis (9 papers), Ginseng Biological Effects and Applications (9 papers), Pharmacology and Obesity Treatment (7 papers), Food Quality and Safety Studies (5 papers) and Insect Pheromone Research and Control (5 papers). The work is most often cited by research in Pharmacology (128 citations), Biotechnology (124 citations), Complementary and alternative medicine (97 citations), Biochemistry (50 citations) and Food Science (135 citations). Dong‐Ha Lee has collaborated with scholars based in South Korea, United States and Thailand. Frequent co-authors include Hwa-Jin Park, Hyuk-Woo Kwon, Man Hee Rhee, Jung-Hae Shin, Suk‐Ku Kang, Hyunjeong Cho, Sang‐Do Ha, Shin-Young Park, Muhammad Irfan and Kyung-Hee Min. Their work appears in journals such as Journal of Ginseng Research, Archives of Pharmacal Research, Evidence-based Complementary and Alternative Medicine, Journal of Atherosclerosis and Thrombosis and Biomolecules & Therapeutics.

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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