Youngah Shin

2.5k citations
25 papers · 1.5k indexed · h-index 15
Topics
Alzheimer's disease research and treatments (5 papers)RNA modifications and cancer (5 papers)Parkinson's Disease Mechanisms and Treatments (4 papers)

In The Last Decade

Youngah Shin

25 papers receiving 1.5k citations

Peers

Youngah Shin
Comparison fields: 5 of 95
  • Molecular Biology 883
  • Neurology 471
  • Cell Biology 386
  • Physiology 323
  • Cellular and Molecular Neuroscience 289
Replace Maxime W.C. Rousseaux with:
Maxime W.C. Rousseaux United States
Byoung Dae Lee South Korea
Artem Bugayenko United States
Nicoleta Moisoi United Kingdom
Lynn Bedford United Kingdom
Kahori Shiba‐Fukushima Japan
Subhas C. Biswas India
Hiroshi Maita Japan
Kie Itoh United States
Daniel Ysselstein United States
Youngah Shin relative to Maxime W.C. Rousseaux United States Maxime W.C. Rousseaux's profile →
Citations per field
00.5×1.5×2.3×
Maxime W.C. Rousseaux · 1×
Citations per year

Countries citing papers authored by Youngah Shin

Since Specialization
Citations

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

Fields of papers citing papers by Youngah Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Youngah Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Youngah Shin. A scholar is included among the top collaborators of Youngah Shin 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 Youngah Shin. Youngah Shin 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 7
2 14
3 6
4 76
5 1
6 78
7
Variables related to Toddler's Compliance : Child's Gender, Age, Temperament, Mother's Parenting and the Content of Demands
3
8 124
9 4
10 38
11 45
12 268
13 32
14 419
15 148
16 28
17 25
18 19
19 64
20 3

About Youngah Shin

Youngah Shin is a scholar working on Neurology, Cell Biology and Neurology, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), RNA modifications and cancer (5 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). The work is most often cited by research in Neurology (471 citations), Cell Biology (386 citations) and Aging (41 citations). Youngah Shin has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Bradley T. Hyman, Pamela J. McLean, Jochen Klucken, Eliezer Masliah, Cam Patterson, Steven M. Greenberg, Peter A. Kolodziej, Liqun Luo, Bumjin Kim and Rajeev Sivasankaran. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Development.

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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