Jiyeong Lee

1.6k total citations
64 papers, 1.3k citations indexed

About

Jiyeong Lee is a scholar working on Molecular Biology, Biological Psychiatry and Behavioral Neuroscience. According to data from OpenAlex, Jiyeong Lee has authored 64 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 13 papers in Biological Psychiatry and 9 papers in Behavioral Neuroscience. Recurrent topics in Jiyeong Lee's work include Tryptophan and brain disorders (13 papers), Metabolomics and Mass Spectrometry Studies (11 papers) and Stress Responses and Cortisol (9 papers). Jiyeong Lee is often cited by papers focused on Tryptophan and brain disorders (13 papers), Metabolomics and Mass Spectrometry Studies (11 papers) and Stress Responses and Cortisol (9 papers). Jiyeong Lee collaborates with scholars based in South Korea, United States and India. Jiyeong Lee's co-authors include Hee‐Gyoo Kang, Sora Mun, Kimoon Kim, Chan Gyung Park, Dongwoo Kim, Eun‐Ju Kim, Jong Seung Kim, Narayanan Selvapalam, Somak Paul and Hyuntae Jung and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Biomaterials.

In The Last Decade

Jiyeong Lee

57 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiyeong Lee South Korea 19 382 337 289 256 223 64 1.3k
Dong‐En Wang China 19 344 0.9× 296 0.9× 565 2.0× 170 0.7× 131 0.6× 40 1.3k
Harinath Chakrapani India 30 648 1.7× 740 2.2× 276 1.0× 423 1.7× 81 0.4× 81 2.2k
Xiaoqiu Xu China 19 151 0.4× 470 1.4× 419 1.4× 612 2.4× 384 1.7× 28 1.6k
Jelena M. Janjic United States 26 276 0.7× 475 1.4× 474 1.6× 494 1.9× 265 1.2× 82 2.3k
Iseli L. Nantes Brazil 25 184 0.5× 1.0k 3.1× 346 1.2× 198 0.8× 147 0.7× 120 2.0k
Paola Bonaccorsi Italy 24 900 2.4× 489 1.5× 268 0.9× 131 0.5× 140 0.6× 115 1.9k
Patricia Vicendo France 23 312 0.8× 776 2.3× 399 1.4× 266 1.0× 113 0.5× 67 2.1k
Lulu Ning China 23 149 0.4× 546 1.6× 528 1.8× 493 1.9× 162 0.7× 57 1.6k
Barry B. Muhoberac United States 28 208 0.5× 774 2.3× 533 1.8× 314 1.2× 82 0.4× 62 2.1k
Wenjia Zhang China 18 133 0.3× 374 1.1× 196 0.7× 171 0.7× 131 0.6× 38 948

Countries citing papers authored by Jiyeong Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jiyeong Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiyeong Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jiyeong Lee. A scholar is included among the top collaborators of Jiyeong 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 Jiyeong Lee. Jiyeong 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
2.
Mun, Sora, Jiyeong Lee, Jeeyoung Kim, et al.. (2024). Uncovering the health implications of abandoned mines through protein profiling of local residents. Environmental Research. 252(Pt 1). 118869–118869. 1 indexed citations
3.
Mun, Sora, Jiyeong Lee, Jeeyoung Kim, et al.. (2024). Cadmium-associated protein changes in residents of contaminated areas: Abandoned mine and smelter. Environmental Pollution. 345. 123512–123512. 1 indexed citations
4.
Mun, Sora, et al.. (2024). Serum L-selectin levels as predictive markers for chronic major depressive disorder progression. Annals of General Psychiatry. 23(1). 37–37. 1 indexed citations
5.
Mun, Sora, et al.. (2024). Serum proteomic changes related to residual impairment in remittent depression are associated with immune and inflammatory processes. Scientific Reports. 14(1). 24482–24482. 2 indexed citations
6.
Lee, Jiyeong, et al.. (2024). TGF-β-Induced PAUF Plays a Pivotal Role in the Migration and Invasion of Human Pancreatic Ductal Adenocarcinoma Cell Line Panc-1. International Journal of Molecular Sciences. 25(21). 11420–11420. 2 indexed citations
7.
Mun, Sora, et al.. (2023). Serum Protein Profiling Reveals a Decrease in Apolipoprotein A-IV During a Clinical Depressive Mood State. Journal of Inflammation Research. Volume 16. 3925–3936. 3 indexed citations
8.
Mun, Sora, et al.. (2023). Discovery and validation of protein biomarkers for monitoring the effectiveness of drug treatment for major depressive disorder. Journal of Psychiatric Research. 169. 7–13. 6 indexed citations
9.
Lee, Jiyeong, et al.. (2023). Discovery and validation of a protein biomarker for the diagnosis and classification of disease severity of major depressive disorder. Clinica Chimica Acta. 549. 117555–117555. 2 indexed citations
10.
11.
Mun, Sora, et al.. (2021). Serum proteomic analysis of major depressive disorder patients and their remission status: Novel biomarker set of zinc-alpha-2-glycoprotein and keratin type II cytoskeletal 1. International Journal of Biological Macromolecules. 183. 2001–2008. 13 indexed citations
12.
Park, Sang‐Hyun, et al.. (2021). Biomarker Discovery of Acute Coronary Syndrome Using Proteomic Approach. Molecules. 26(4). 1136–1136. 7 indexed citations
13.
Lee, Jiyeong, et al.. (2020). Recent Research Progress in the Microbial Production of Aromatic Compounds Derived from L-Tryptophan. JoLS Journal of Life Sciences. 30(10). 919–929. 3 indexed citations
14.
Mun, Sora, et al.. (2020). A discovery of screening markers for rheumatoid arthritis by liquid chromatography mass spectrometry: A metabolomic approach. International Journal of Rheumatic Diseases. 23(10). 1353–1362. 14 indexed citations
15.
Lee, Jiyeong, Arum Park, Sora Mun, et al.. (2020). Proteomics-Based Identification of Diagnostic Biomarkers Related to Risk Factors and Pathogenesis of Ischemic Stroke. Diagnostics. 10(5). 340–340. 12 indexed citations
16.
Shin, Yoo Jin, Sun Woo Lim, Kang Luo, et al.. (2019). Influence of Tacrolimus on Depressive-Like Behavior in Diabetic Rats Through Brain-Derived Neurotrophic Factor Regulation in the Hippocampus. Neurotoxicity Research. 36(2). 396–410. 10 indexed citations
17.
Lee, Jiyeong, et al.. (2017). Spirulina Extract Enhanced a Protective Effect in Type 1 Diabetes by Anti-Apoptosis and Anti-ROS Production. Nutrients. 9(12). 1363–1363. 38 indexed citations
18.
Han, Jiyou, et al.. (2017). N-glycoproteomic analysis of human follicular fluid during natural and stimulated cycles in patients undergoingin vitrofertilization. Daehan saengsik uihak hoeji/Clinical and experimental reproductive medicine. 44(2). 63–63. 7 indexed citations
19.
Kim, Eun‐Ju, Dongwoo Kim, Hyuntae Jung, et al.. (2010). Facile, Template‐Free Synthesis of Stimuli‐Responsive Polymer Nanocapsules for Targeted Drug Delivery. Angewandte Chemie International Edition. 49(26). 4405–4408. 185 indexed citations
20.
Lee, Jiyeong & Hyungsoon Shin. (2003). Evanescent-Mode Analysis of Short-Channel Effects in MOSFETs. Journal of the Korean Physical Society. 44(1). 50–55. 16 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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