Do Yup Lee

6.6k total citations · 4 hit papers
102 papers, 4.9k citations indexed

About

Do Yup Lee is a scholar working on Molecular Biology, Food Science and Physiology. According to data from OpenAlex, Do Yup Lee has authored 102 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 16 papers in Food Science and 15 papers in Physiology. Recurrent topics in Do Yup Lee's work include Metabolomics and Mass Spectrometry Studies (21 papers), Gut microbiota and health (12 papers) and Diet and metabolism studies (10 papers). Do Yup Lee is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (21 papers), Gut microbiota and health (12 papers) and Diet and metabolism studies (10 papers). Do Yup Lee collaborates with scholars based in South Korea, United States and Switzerland. Do Yup Lee's co-authors include Oliver Fiehn, Tobias Kind, Gert Wohlgemuth, Yun Lü, Mine Palazoglu, Kwang‐Hyeon Liu, Brian C. DeFelice, John K. Meissen, Eosu Kim and Man Ho Choi and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and The Science of The Total Environment.

In The Last Decade

Do Yup Lee

97 papers receiving 4.9k citations

Hit Papers

FiehnLib: Mass Spectral and Retention Index Libraries for... 2008 2026 2014 2020 2009 2013 2008 2024 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Do Yup Lee South Korea 29 3.0k 633 597 524 434 102 4.9k
Marie Brown United Kingdom 24 3.4k 1.1× 929 1.5× 407 0.7× 501 1.0× 620 1.4× 36 4.9k
Paul Begley United Kingdom 20 2.7k 0.9× 722 1.1× 317 0.5× 632 1.2× 453 1.0× 28 4.1k
Aalim M. Weljie United States 44 4.2k 1.4× 423 0.7× 427 0.7× 1.1k 2.1× 437 1.0× 107 6.5k
Zhiqiang Pang Canada 19 3.2k 1.1× 266 0.4× 686 1.1× 808 1.5× 264 0.6× 29 5.9k
Antonia Garcı́a Spain 40 2.4k 0.8× 1.0k 1.7× 284 0.5× 587 1.1× 877 2.0× 122 4.7k
Craig E. Wheelock Sweden 53 3.5k 1.2× 576 0.9× 792 1.3× 1.4k 2.6× 338 0.8× 232 8.5k
Julijana Ivanišević Switzerland 32 4.7k 1.6× 781 1.2× 292 0.5× 1.0k 2.0× 539 1.2× 88 7.5k
Seppo Auriola Finland 49 3.4k 1.1× 722 1.1× 906 1.5× 961 1.8× 442 1.0× 240 8.5k
Le Chang China 15 2.8k 1.0× 210 0.3× 477 0.8× 545 1.0× 253 0.6× 32 4.8k
Vladimir Tolstikov United States 30 2.7k 0.9× 686 1.1× 649 1.1× 486 0.9× 347 0.8× 68 4.1k

Countries citing papers authored by Do Yup Lee

Since Specialization
Citations

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

Fields of papers citing papers by Do Yup Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Do Yup Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Do Yup Lee. A scholar is included among the top collaborators of Do Yup Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Do Yup Lee. Do Yup Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Choi, Hayoung, et al.. (2025). Metabolic Reprogramming in Primary Microglial Cell and Extracellular Vesicle Triggered by Aβ Exposure. Journal of Neurochemistry. 169(3). e70030–e70030. 1 indexed citations
2.
Choi, Hayoung, Haeng Jun Kim, Sang‐Eun Lee, et al.. (2025). 25-Hydroxycholesterol modulates microglial function and exacerbates Alzheimer’s disease pathology: mechanistic insights and therapeutic potential of cholesterol esterification inhibition. Journal of Neuroinflammation. 22(1). 50–50. 3 indexed citations
3.
Choi, Jieun, Ye Rin Choi, Soon H Song, et al.. (2025). Phocaeicola dorei ameliorates progression of steatotic liver disease by regulating bile acid, lipid, inflammation and proliferation. Gut Microbes. 17(1). 2539448–2539448. 3 indexed citations
5.
Lee, Hong Jin, et al.. (2023). Comprehensive Evaluation System for Post-Metabolic Activity of Potential Thyroid-Disrupting Chemicals. Journal of Microbiology and Biotechnology. 33(10). 1351–1360.
6.
Park, Young-Jae, et al.. (2023). Inhibitory characteristics of flavonoids from soybean (Glycine max [L.] Merr.) leaf against pancreatic lipase. Food Bioscience. 56. 103311–103311. 7 indexed citations
8.
Kim, Seok‐Young, Syed Farhan Alam Zaidi, Jeong‐Ah Seo, et al.. (2022). Differentiation of Geographical Origin of White and Brown Rice Samples Using NMR Spectroscopy Coupled with Machine Learning Techniques. Metabolites. 12(11). 1012–1012. 9 indexed citations
10.
Lee, Na Young, Sang Jun Yoon, Dae Hee Han, et al.. (2020). LactobacillusandPediococcusameliorate progression of non-alcoholic fatty liver disease through modulation of the gut microbiome. Gut Microbes. 11(4). 882–899. 95 indexed citations
11.
Park, Soo Jin, Jimin Lee, Seung-Hoon Lee, et al.. (2020). Exposure of ultrafine particulate matter causes glutathione redox imbalance in the hippocampus: A neurometabolic susceptibility to Alzheimer's pathology. The Science of The Total Environment. 718. 137267–137267. 30 indexed citations
12.
Lee, Na Young, Min Jea Shin, Gi Soo Youn, et al.. (2020). <i>Lactobacillus</i> attenuates progression of nonalcoholic fatty liver disease by lowering cholesterol and steatosis. Clinical and Molecular Hepatology. 27(1). 110–124. 94 indexed citations
13.
Lee, Do Yup, et al.. (2020). Metabolomic Investigation on Fermentation Products of Achyranthes japonica Nakai by Lactobacillus plantarum. Journal of Microbiology and Biotechnology. 30(3). 378–381. 2 indexed citations
14.
Shin, Minhye, Sooah Kim, Deokyeol Jeong, et al.. (2019). Comparative global metabolite profiling of xylose-fermenting Saccharomyces cerevisiae SR8 and Scheffersomyces stipitis. Applied Microbiology and Biotechnology. 103(13). 5435–5446. 29 indexed citations
15.
Lee, Do Yup, et al.. (2019). Fermented Cordyceps militaris Extract Ameliorates Hepatosteatosis via Activation of Fatty Acid Oxidation. Journal of Medicinal Food. 22(4). 325–336. 8 indexed citations
16.
Lee, Deokjong, et al.. (2019). Lipidomic profiles disturbed by the internet gaming disorder in young Korean males. Journal of Chromatography B. 1114-1115. 119–124. 4 indexed citations
17.
18.
Lee, Do Yup, Hong Seog Seo, Ju-Yeon Moon, et al.. (2015). Hair sterol signatures coupled to multivariate data analysis reveal an increased 7β-hydroxycholesterol production in cognitive impairment. The Journal of Steroid Biochemistry and Molecular Biology. 155(Pt A). 9–17. 19 indexed citations
19.
Lee, Hye-Jin, Jungeun Lee, Soo-Jung Kim, et al.. (2015). Fast Determination of Multiple-Reaction Intermediates for Long-Chain Dicarboxylic Acid Biotransformation by Gas Chromatography-Flame Ionization Detector. Journal of Microbiology and Biotechnology. 25(5). 704–708. 6 indexed citations
20.
Park, Yong‐Cheol, Do Yup Lee, Dae‐Hee Lee, et al.. (2004). Proteomics and physiology of erythritol-producing strains. Journal of Chromatography B. 815(1-2). 251–260. 22 indexed citations

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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