Young-Lim Lee

2.9k total citations
48 papers, 2.2k citations indexed

About

Young-Lim Lee is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Young-Lim Lee has authored 48 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 12 papers in Cellular and Molecular Neuroscience and 10 papers in Social Psychology. Recurrent topics in Young-Lim Lee's work include Stress Responses and Cortisol (10 papers), Neuroendocrine regulation and behavior (8 papers) and Neuroscience and Neuropharmacology Research (7 papers). Young-Lim Lee is often cited by papers focused on Stress Responses and Cortisol (10 papers), Neuroendocrine regulation and behavior (8 papers) and Neuroscience and Neuropharmacology Research (7 papers). Young-Lim Lee collaborates with scholars based in United States, South Korea and Netherlands. Young-Lim Lee's co-authors include Michael Davis, Michael T. Davis, David Walker, Edward G. Meloni, Dolores E. López, Gerard J. Marek, Anantha Shekhar, Jay Schulkin, David L. Walker and M. E. Bitterman and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Young-Lim Lee

42 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young-Lim Lee United States 22 930 909 845 659 274 48 2.2k
Aaron M. Jasnow United States 32 843 0.9× 1.2k 1.3× 893 1.1× 1.1k 1.7× 220 0.8× 67 2.5k
Rafał Ryguła Poland 22 720 0.8× 1.0k 1.1× 479 0.6× 672 1.0× 199 0.7× 58 2.2k
Éva Mikics Hungary 27 821 0.9× 810 0.9× 365 0.4× 821 1.2× 244 0.9× 49 2.1k
Rebecca M. Shansky United States 25 676 0.7× 1.7k 1.9× 814 1.0× 1.1k 1.7× 272 1.0× 43 3.0k
Barbara Vollmayr Germany 29 1.3k 1.4× 1.2k 1.3× 602 0.7× 672 1.0× 336 1.2× 65 3.2k
Ada C. Felix‐Ortiz United States 8 882 0.9× 487 0.5× 1.0k 1.2× 643 1.0× 302 1.1× 13 1.8k
Natalie C. Tronson United States 27 1.5k 1.6× 687 0.8× 1.5k 1.8× 614 0.9× 675 2.5× 43 2.9k
Abdul H. Mohammed Sweden 26 1.2k 1.2× 720 0.8× 626 0.7× 558 0.8× 623 2.3× 45 3.0k
John P. Christianson United States 26 680 0.7× 960 1.1× 782 0.9× 752 1.1× 206 0.8× 54 2.0k
Frauke Ohl Netherlands 37 991 1.1× 1.4k 1.6× 738 0.9× 1.2k 1.8× 446 1.6× 84 3.9k

Countries citing papers authored by Young-Lim Lee

Since Specialization
Citations

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

Fields of papers citing papers by Young-Lim Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young-Lim Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Young-Lim Lee. A scholar is included among the top collaborators of Young-Lim 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 Young-Lim Lee. Young-Lim 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.
Lee, Young-Lim, et al.. (2023). A Study of the Relationship Between English Learning Demotivation and Career Barrier of University Senior Students. The Journal of Humanities and Social sciences 21. 14(3). 3069–3080. 1 indexed citations
2.
Lee, Young-Lim & Hyun-Wook Kang. (2023). "The Relationship Between Fear of Failure, Career Beliefs and Grit for Sports College Students: Focused on Participation in Problem-based Learning (PBL) ". The Journal of Humanities and Social sciences 21. 14(1). 1043–1058.
3.
4.
Lee, Young-Lim, Haruko Takeda, Gabriel Costa Monteiro Moreira, et al.. (2021). A 12 kb multi-allelic copy number variation encompassing a GC gene enhancer is associated with mastitis resistance in dairy cattle. PLoS Genetics. 17(7). e1009331–e1009331. 34 indexed citations
5.
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Liu, Langqing, Mirte Bosse, Hendrik‐Jan Megens, et al.. (2019). Genomic analysis on pygmy hog reveals extensive interbreeding during wild boar expansion. Nature Communications. 10(1). 1992–1992. 31 indexed citations
7.
Lee, Young-Lim, et al.. (2014). Study on the Development of LED Headlamps for Used Cars. Transactions on Electrical and Electronic Materials. 15(5). 270–274. 4 indexed citations
8.
Lee, Young-Lim, et al.. (2012). Object recognition using metric shape. Vision Research. 69. 23–31. 11 indexed citations
9.
Lee, Young-Lim, et al.. (2012). A Study of Adiabatic Performance for Vacuum Glazing with Design Conditions. Journal of the korean society of manufacturing technology engineers. 21(4). 582–587. 4 indexed citations
10.
Lee, Young-Lim, Madhavi Pai, Jill‐Desiree Brederson, et al.. (2011). Monosodium Iodoacetate-Induced Joint Pain is Associated with Increased Phosphorylation of Mitogen Activated Protein Kinases in the Rat Spinal Cord. Molecular Pain. 7. 39–39. 47 indexed citations
11.
Upadhyay, Jaymin, Scott Baker, Prasant Chandran, et al.. (2011). Default-Mode-Like Network Activation in Awake Rodents. PLoS ONE. 6(11). e27839–e27839. 74 indexed citations
12.
Lee, Young-Lim, et al.. (2011). Study on Thermal Performance of Multiple LED Packages with Heat Pipes. Transactions of the Korean Society of Mechanical Engineers B. 35(6). 569–575. 6 indexed citations
13.
Norman, Hideko F., et al.. (2010). The visual perception of length along intrinsically curved surfaces. Journal of Vision. 2(7). 84–84. 1 indexed citations
14.
Lee, Young-Lim, Stephanie D. Fitz, Philip L. Johnson, & Anantha Shekhar. (2008). Repeated Stimulation of CRF Receptors in the BNST of Rats Selectively Induces Social but not Panic-Like Anxiety. Neuropsychopharmacology. 33(11). 2586–2594. 74 indexed citations
15.
Lee, Young-Lim, et al.. (2007). Glia mechanisms in mood regulation: a novel model of mood disorders. Psychopharmacology. 191(1). 55–65. 53 indexed citations
16.
Lee, Young-Lim, Ronald S. Duman, & Gerard J. Marek. (2006). The mGlu2/3 receptor agonist LY354740 suppresses immobilization stress-induced increase in rat prefrontal cortical BDNF mRNA expression. Neuroscience Letters. 398(3). 328–332. 27 indexed citations
17.
Norman, J. Farley, et al.. (2004). The visual perception of length along intrinsically curved surfaces. Perception & Psychophysics. 66(1). 77–88. 9 indexed citations
18.
Lee, Young-Lim & Michael T. Davis. (1997). Role of the Septum in the Excitatory Effect of Corticotropin-Releasing Hormone on the Acoustic Startle Reflex. Journal of Neuroscience. 17(16). 6424–6433. 42 indexed citations
19.
Davis, Michael T., David Walker, & Young-Lim Lee. (1997). Roles of the Amygdala and Bed Nucleus of the Stria Terminalis in Fear and Anxiety Measured with the Acoustic Startle Reflex. Annals of the New York Academy of Sciences. 821(1). 305–331. 229 indexed citations
20.
Walker, David, James V. Cassella, Young-Lim Lee, Thereza Christina Monteiro de Lima, & Michael T. Davis. (1997). Opposing roles of the amygdala and dorsolateral periaqueductal gray in fear-potentiated startle. Neuroscience & Biobehavioral Reviews. 21(6). 743–753. 86 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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