Young Sik Lee

3.0k total citations · 1 hit paper
28 papers, 2.3k citations indexed

About

Young Sik Lee is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Young Sik Lee has authored 28 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Cancer Research. Recurrent topics in Young Sik Lee's work include MicroRNA in disease regulation (6 papers), RNA Interference and Gene Delivery (5 papers) and CRISPR and Genetic Engineering (4 papers). Young Sik Lee is often cited by papers focused on MicroRNA in disease regulation (6 papers), RNA Interference and Gene Delivery (5 papers) and CRISPR and Genetic Engineering (4 papers). Young Sik Lee collaborates with scholars based in South Korea, United States and Japan. Young Sik Lee's co-authors include Richard W. Carthew, Erik J. Sontheimer, Kevin Kim, Kenji Nakahara, Zhengying He, John Pham, Do‐Hwan Lim, Taehoon Chun, Chung‐Gyu Park and Sung Soo Park and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Young Sik Lee

28 papers receiving 2.3k citations

Hit Papers

Distinct Roles for Drosophila Dicer-1 and Dicer-2 in the ... 2004 2026 2011 2018 2004 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
Young Sik Lee South Korea 20 1.6k 639 400 348 207 28 2.3k
Tasman Daish Australia 15 1.4k 0.8× 683 1.1× 267 0.7× 216 0.6× 209 1.0× 23 1.8k
Fenghua Yuan United States 25 1.5k 0.9× 410 0.6× 293 0.7× 360 1.0× 89 0.4× 59 2.2k
Jason R. Kennerdell United States 11 1.6k 1.0× 299 0.5× 211 0.5× 349 1.0× 282 1.4× 15 2.0k
Liam P. Keegan United Kingdom 25 3.7k 2.3× 306 0.5× 437 1.1× 144 0.4× 132 0.6× 52 4.0k
Matthew A. Booker United States 14 1.4k 0.9× 203 0.3× 254 0.6× 362 1.0× 448 2.2× 17 2.0k
Craig A. Smibert Canada 32 2.5k 1.5× 228 0.4× 318 0.8× 210 0.6× 111 0.5× 45 3.1k
Sarah F. Newbury United Kingdom 27 2.4k 1.5× 506 0.8× 155 0.4× 291 0.8× 101 0.5× 56 2.9k
Hendrik Marks Netherlands 28 3.6k 2.2× 293 0.5× 515 1.3× 305 0.9× 72 0.3× 52 4.3k
Marie‐Odile Fauvarque France 26 1.4k 0.9× 93 0.1× 432 1.1× 430 1.2× 138 0.7× 62 2.1k
Michael T. Marr United States 25 2.6k 1.6× 190 0.3× 214 0.5× 236 0.7× 321 1.6× 41 3.2k

Countries citing papers authored by Young Sik Lee

Since Specialization
Citations

This map shows the geographic impact of Young Sik 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 Sik 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 Sik Lee more than expected).

Fields of papers citing papers by Young Sik Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Young Sik Lee. A scholar is included among the top collaborators of Young Sik 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 Sik Lee. Young Sik 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.
Lee, Seungjae, Jae-Sang Hong, Do‐Hwan Lim, & Young Sik Lee. (2020). Roles for Drosophila cap1 2′-O-ribose methyltransferase in the small RNA silencing pathway associated with Argonaute 2. Insect Biochemistry and Molecular Biology. 123. 103415–103415. 4 indexed citations
3.
Bae, Joonbeom, Kyoichi Isono, Ji Yoon Lee, et al.. (2019). Phc2 controls hematopoietic stem and progenitor cell mobilization from bone marrow by repressing Vcam1 expression. Nature Communications. 10(1). 3496–3496. 12 indexed citations
4.
Hong, Jae-Sang, Do-Hoon Lee, Dokyun Na, et al.. (2017). MicroRNA signatures associated with thioacetamide-induced liver fibrosis in mice. Bioscience Biotechnology and Biochemistry. 81(7). 1348–1355. 16 indexed citations
5.
Kwon, Ilmin, Ji Hye Lee, Tong Mook Kang, et al.. (2016). TrpA1 Regulates Defecation of Food-Borne Pathogens under the Control of the Duox Pathway. PLoS Genetics. 12(1). e1005773–e1005773. 51 indexed citations
7.
Kim, Nam Hoon, et al.. (2015). Changes in cellular microRNA expression induced by porcine circovirus type 2-encoded proteins. Veterinary Research. 46(1). 39–39. 20 indexed citations
8.
Joo, Jin Young, Jong‐Hwan Lee, Hae Young Ko, et al.. (2014). Microinjection free delivery of miRNA inhibitor into zygotes. Scientific Reports. 4(1). 5417–5417. 18 indexed citations
9.
Lim, Do‐Hwan, Jee Yun Han, Jae-Ryong Kim, Young Sik Lee, & Hwa-Young Kim. (2012). Methionine sulfoxide reductase B in the endoplasmic reticulum is critical for stress resistance and aging in Drosophila. Biochemical and Biophysical Research Communications. 419(1). 20–26. 40 indexed citations
10.
Hong, Jae-Sang, et al.. (2012). Effects of polymorphisms in the porcine microRNA miR-1 locus on muscle fiber type composition and miR-1 expression. Gene. 506(1). 211–216. 20 indexed citations
11.
Lim, Do‐Hwan, et al.. (2012). Methionine sulfoxide reductase B3 protects from endoplasmic reticulum stress in Drosophila and in mammalian cells. Biochemical and Biophysical Research Communications. 420(1). 130–135. 14 indexed citations
12.
Kim, Jun‐Mo, et al.. (2012). Effects of polymorphisms in the porcine microRNA MIR206/MIR133B cluster on muscle fiber and meat quality traits. Animal Genetics. 44(1). 101–106. 28 indexed citations
13.
Kim, Jun‐Mo, et al.. (2011). Effects of polymorphisms in the 3′ untranslated region of the porcine PPARGC1A gene on muscle fiber characteristics and meat quality traits. Molecular Biology Reports. 39(4). 3943–3950. 13 indexed citations
14.
Lim, Do‐Hwan, Chun-Taek Oh, Jae-Sang Hong, et al.. (2011). The endogenous siRNA pathway inDrosophilaimpacts stress resistance and lifespan by regulating metabolic homeostasis. FEBS Letters. 585(19). 3079–3085. 45 indexed citations
15.
Kim, Jung, et al.. (2010). Cloning and characterization of microRNAs from porcine skeletal muscle and adipose tissue. Molecular Biology Reports. 37(7). 3567–3574. 33 indexed citations
16.
Lee, Young Sik, Sigal Pressman, Kevin Kim, et al.. (2009). Silencing by small RNAs is linked to endosomal trafficking. Nature Cell Biology. 11(9). 1150–1156. 276 indexed citations
17.
Lim, Do‐Hwan, Jung Kim, Sanguk Kim, Richard W. Carthew, & Young Sik Lee. (2008). Functional analysis of dicer-2 missense mutations in the siRNA pathway of Drosophila. Biochemical and Biophysical Research Communications. 371(3). 525–530. 24 indexed citations
18.
Song, Min‐Suk, Jinyoung Shin, Young Min Lee, et al.. (2007). Genetic characterization of avian metapneumovirus subtype C isolated from pheasants in a live bird market. Virus Research. 128(1-2). 18–25. 69 indexed citations
19.
Lee, Young Sik, Kenji Nakahara, John Pham, et al.. (2004). Distinct Roles for Drosophila Dicer-1 and Dicer-2 in the siRNA/miRNA Silencing Pathways. Cell. 117(1). 69–81. 1002 indexed citations breakdown →
20.
Lee, Young Sik, Hyung Wook Kim, & Sung Soo Park. (2000). The Role of α-Amino Group of the N-terminal Serine of β Subunit for Enzyme Catalysis and Autoproteolytic Activation of Glutaryl 7-Aminocephalosporanic Acid Acylase. Journal of Biological Chemistry. 275(50). 39200–39206. 24 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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