Kyunglim Lee

1.5k total citations
83 papers, 1.2k citations indexed

About

Kyunglim Lee is a scholar working on Molecular Biology, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kyunglim Lee has authored 83 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 45 papers in Psychiatry and Mental health and 44 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kyunglim Lee's work include Cancer, Stress, Anesthesia, and Immune Response (45 papers), Neuropeptides and Animal Physiology (40 papers) and RNA Interference and Gene Delivery (14 papers). Kyunglim Lee is often cited by papers focused on Cancer, Stress, Anesthesia, and Immune Response (45 papers), Neuropeptides and Animal Physiology (40 papers) and RNA Interference and Gene Delivery (14 papers). Kyunglim Lee collaborates with scholars based in South Korea, Taiwan and United States. Kyunglim Lee's co-authors include Jae‐Hoon Jung, Moonhee Kim, Miyoung Kim, Taesook Yoon, Dong Hae Shin, Hyo Young Kim, Seong‐Yeon Bae, Choonmi Kim, Eung Chil Choi and Kong‐Joo Lee and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biomaterials.

In The Last Decade

Kyunglim Lee

79 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyunglim Lee South Korea 20 654 494 431 166 144 83 1.2k
Chun‐Yi Wu United States 17 456 0.7× 68 0.1× 107 0.2× 136 0.8× 94 0.7× 31 967
Maria Lucibello Italy 14 515 0.8× 85 0.2× 317 0.7× 152 0.9× 184 1.3× 21 1.1k
Cristina Goso Italy 19 484 0.7× 58 0.1× 251 0.6× 202 1.2× 104 0.7× 38 1.0k
Ingrid Langer Belgium 20 644 1.0× 29 0.1× 553 1.3× 164 1.0× 68 0.5× 53 987
Megumi Tsuchiya Japan 20 511 0.8× 36 0.1× 293 0.7× 47 0.3× 56 0.4× 49 987
Jeanne-Marie Lefauconnier France 19 472 0.7× 54 0.1× 176 0.4× 282 1.7× 36 0.3× 34 1.1k
Jody Eisenberg United States 14 605 0.9× 52 0.1× 216 0.5× 288 1.7× 44 0.3× 19 1.4k
Elena Rivera Argentina 26 979 1.5× 143 0.3× 89 0.2× 235 1.4× 756 5.3× 61 1.8k
Fabienne Glacial France 12 486 0.7× 27 0.1× 111 0.3× 231 1.4× 82 0.6× 13 1.2k
Bernd‐Joachim Thiele Germany 14 523 0.8× 265 0.5× 203 0.5× 79 0.5× 117 0.8× 16 976

Countries citing papers authored by Kyunglim Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kyunglim Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyunglim Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kyunglim Lee. A scholar is included among the top collaborators of Kyunglim 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 Kyunglim Lee. Kyunglim 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.
2.
Jo, Seri, et al.. (2023). A tryptophan-based assay method to search regulatory compounds for transcriptionally controlled tumor protein. Biochemical and Biophysical Research Communications. 692. 149363–149363.
3.
Kim, Hyun-Ju, et al.. (2023). Translationally controlled tumor protein restores impaired memory and altered synaptic protein expression in animal models of dementia. Biomedicine & Pharmacotherapy. 160. 114357–114357. 2 indexed citations
4.
Shin, Dong Hae, et al.. (2022). Meclizine, a piperazine-derivative antihistamine, binds to dimerized translationally controlled tumor protein and attenuates allergic reactions in a mouse model. Biomedicine & Pharmacotherapy. 157. 114072–114072. 7 indexed citations
5.
Choi, Ji‐Young, et al.. (2021). Overexpression of translationally controlled tumor protein ameliorates metabolic imbalance and increases energy expenditure in mice. International Journal of Obesity. 45(7). 1576–1587. 4 indexed citations
6.
Lee, Kyunglim, et al.. (2020). A study on the newspaper editorial’s framing of college admission re-reform after the ‘Cho Guk scandal’. Korean journal of sociology of education. 30(2). 75–103.
7.
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Lee, Kyunglim, et al.. (2016). The effects of the “Wee Class” on the students involved in school violence. 22(2). 255–281. 1 indexed citations
9.
Lee, Kyunglim, et al.. (2015). An analysis of the determinants of early-career labor market outcomes of young four-year college graduates: Focusing on time to degree. 21(1). 113–138. 3 indexed citations
10.
Lee, Kyunglim, et al.. (2013). On employing a translationally controlled tumor protein-derived protein transduction domain analog for transmucosal delivery of drugs. Journal of Controlled Release. 170(3). 358–364. 24 indexed citations
11.
Kim, Minjeong, Jungmook Lyu, Miyoung Kim, et al.. (2009). Over-expression of translationally controlled tumor protein in lens epithelial cells seems to be associated with cataract development. Transgenic Research. 18(6). 953–960. 5 indexed citations
12.
Kim, Miyoung, Hyun Jung Min, Hee Yeon Won, et al.. (2009). Dimerization of Translationally Controlled Tumor Protein Is Essential For Its Cytokine-Like Activity. PLoS ONE. 4(7). e6464–e6464. 59 indexed citations
13.
Kim, Moonhee, Jae‐Hoon Jung, & Kyunglim Lee. (2009). Roles of ERK, PI3 kinase, and PLC-γ pathways induced by overexpression of translationally controlled tumor protein in HeLa cells. Archives of Biochemistry and Biophysics. 485(1). 82–87. 23 indexed citations
14.
Kim, Hwa‐Jung, et al.. (2005). Interaction between IgE-dependent histamine-releasing factor and triosephosphate isomerase in HeLa cells. 33(4). 255–259. 1 indexed citations
15.
Jung, Jae‐Hoon, et al.. (2004). Translationally Controlled Tumor Protein Interacts with the Third Cytoplasmic Domain of Na,K-ATPase α Subunit and Inhibits the Pump Activity in HeLa Cells. Journal of Biological Chemistry. 279(48). 49868–49875. 81 indexed citations
16.
Kim, Minjeong, Jaehoon Jung, Eung Chil Choi, Hae Young Park, & Kyunglim Lee. (2001). Identification of the Interaction between Rat Translationally Controlled Tumor Protein/IgE-dependent Histamine Releasing Factor and Myosin Light Chain. BMB Reports. 34(6). 526–530. 4 indexed citations
17.
Yoon, Taesook, et al.. (2000). Identification of the Self-Interaction of Rat TCTP/IgE-Dependent Histamine-Releasing Factor Using Yeast Two-Hybrid System. Archives of Biochemistry and Biophysics. 384(2). 379–382. 43 indexed citations
18.
Kim, Moonhee, et al.. (2000). Identification of the calcium binding sites in translationally controlled tumor protein. Archives of Pharmacal Research. 23(6). 633–636. 81 indexed citations
19.
Lee, Kyunglim, et al.. (1998). Possible implication for an indirect interaction between basic fibroblast growth factor and (Na,K)ATPase. Archives of Pharmacal Research. 21(6). 707–711. 5 indexed citations
20.
Jung, Jae‐Hoon, et al.. (1998). Nucleotide and deduced amino acid sequences of rat myosin binding protein H (MyBP-H). Archives of Pharmacal Research. 21(6). 712–717. 2 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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