Young Sik Lee

3.0k citations
28 papers · 2.3k indexed · 1 hit paper · h-index 20
Topics
MicroRNA in disease regulation (6 papers)RNA Interference and Gene Delivery (5 papers)CRISPR and Genetic Engineering (4 papers)

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 ...200420262011201820042505007501000

Peers

Young Sik Lee
Comparison fields: 5 of 100
  • Molecular Biology 1.6k
  • Cancer Research 639
  • Immunology 400
  • Plant Science 348
  • Cellular and Molecular Neuroscience 207
Replace Tasman Daish with:
Tasman Daish Australia
Jason R. Kennerdell United States
Hendrik Marks Netherlands
Craig A. Smibert Canada
Giuseppe Macino Italy
Makoto Nakamura Japan
Fugaku Aoki Japan
Daniel Gerlach Austria
Katsutomo Okamura United States
Liam P. Keegan United Kingdom
Young Sik Lee relative to Tasman Daish Australia Tasman Daish's profile →
Citations per field
00.5×1.6×
Tasman Daish · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 4
3 12
4 16
5 51
6 20
7 18
8 40
9 20
10 14
11 28
12 13
13 45
14 33
15 276
16 24
17 69
18
Distinct Roles for Drosophila Dicer-1 and Dicer-2 in the siRNA/miRNA Silencing Pathwaysbreakdown →
1002
19 306
20 24

About Young Sik Lee

Young Sik Lee is a scholar working on Aging, Cancer Research and Immunology, having authored 28 papers that have together received 2.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), RNA Interference and Gene Delivery (5 papers) and CRISPR and Genetic Engineering (4 papers). The work is most often cited by research in Aging (77 citations), Cancer Research (639 citations) and Molecular Biology (1.6k citations). Young Sik Lee has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Richard W. Carthew, Kenji Nakahara, Kevin Kim, Erik J. Sontheimer, John Pham, Zhengying He, Do‐Hwan Lim, Taehoon Chun, Chung‐Gyu Park and Sung Soo Park. Their work appears in journals such as Cell, Journal of Biological Chemistry and Nature Communications.

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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