Youn‐Bok Lee

3.0k citations
39 papers · 1.9k indexed · h-index 22
Topics
Amyotrophic Lateral Sclerosis Research (15 papers)Neurogenetic and Muscular Disorders Research (11 papers)RNA Research and Splicing (7 papers)

In The Last Decade

Youn‐Bok Lee

38 papers receiving 1.9k citations

Peers

Youn‐Bok Lee
Comparison fields: 5 of 114
  • Molecular Biology 1.2k
  • Neurology 769
  • Genetics 462
  • Cellular and Molecular Neuroscience 360
  • Cancer Research 269
Replace Sílvia Porta with:
Sílvia Porta United States
Shinji Hadano Japan
Daniel A. Mordes United States
Yueshan Piao China
Georg Haase France
Chantelle F. Sephton Canada
Atsushi Shiga Japan
Yukio Kawahara Japan
Cristina Cheroni Italy
Ritchie Ho United States
Youn‐Bok Lee relative to Sílvia Porta United States Sílvia Porta's profile →
Citations per field
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Sílvia Porta · 1×
Citations per year

Countries citing papers authored by Youn‐Bok Lee

Since Specialization
Citations

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

Fields of papers citing papers by Youn‐Bok Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youn‐Bok Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Youn‐Bok Lee. A scholar is included among the top collaborators of Youn‐Bok 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 Youn‐Bok Lee. Youn‐Bok 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 2
2 4
3 0
4 17
5 35
6 29
7 45
8 211
9 42
10 365
11 38
12 89
13 52
14 188
15 88
16 26
17 19
18 20
19 1
20
Time-dependent free-surface flows due to a sink: A quantitative analysis of the drain-size effect
2

About Youn‐Bok Lee

Youn‐Bok Lee is a scholar working on Genetics, Neurology and Molecular Biology, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (15 papers), Neurogenetic and Muscular Disorders Research (11 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Neurology (769 citations), Genetics (462 citations) and Cellular and Molecular Neuroscience (360 citations). Youn‐Bok Lee has collaborated with scholars based in United Kingdom, Slovenia and United States. Frequent co-authors include James B. Uney, Christopher E. Shaw, Jean‐Marc Gallo, Boris Rogelj, Agnes L. Nishimura, Joanna Howarth, Valentina Sardone, Emma L. Scotter, Leonidas A. Phylactou and Caroline Vance. Their work appears in journals such as Nucleic Acids Research, 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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