Won‐Bin Young

1.6k citations
25 papers · 1.1k · h-index 14

Impact in

Papers in

    • CRISPR and Genetic Engineering 9
    • RNA Interference and Gene Delivery 2
    • Prion Diseases and Protein Misfolding 2
    • HIV Research and Treatment 7

Won‐Bin Young

25 papers receiving 1.1k citations

Peers

Won‐Bin Young
Comparison fields: 5 of 97
  • Business and International Management 99
  • Virology 196
  • Aging 18
  • Molecular Biology 571
  • Pathology and Forensic Medicine 129
Replace Ilker K. Sariyer with:
Ilker K. Sariyer United States
Rafal Kaminski United States
Jonathan M. Woo United States
Jessica Otte United States
Kathleen Börner Germany
Gianluigi Lichinchi United States
Raphaël Gaudin France
Kazuki Kato Japan
Veena S. Patil United States
Jonathan E. Foley United States
Won‐Bin Young relative to Ilker K. Sariyer United States Ilker K. Sariyer's profile →
Citations per field
00.5×6.2×
Ilker K. Sariyer · 1×
Citations per year

Countries citing papers authored by Won‐Bin Young

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Bin Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won‐Bin Young. 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 Won‐Bin Young. The network helps show where Won‐Bin Young may publish in the future.

Co-authors

The 25 scholars most cited alongside Won‐Bin Young, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Won‐Bin Young Line = papers co-authored together Won‐Bin Young links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017223
2 1991151
3 2015140
4 201868
5 201258
6 201157
7 201656
8 201055
9 199054
10 201651
11 199349
12 199332
13 198424
14 201717
15 202110
16 20139
17 20159
18
Strategies for the development of new and better pharmacological treatments for acute spinal cord injury.
19939
19 20178
20 20005

About Won‐Bin Young

Won‐Bin Young is a scholar working on Molecular Biology, Virology, Genetics, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), HIV Research and Treatment (7 papers), Virus-based gene therapy research (5 papers), Polyomavirus and related diseases (4 papers), Bacteriophages and microbial interactions (3 papers), RNA Interference and Gene Delivery (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Prion Diseases and Protein Misfolding (2 papers). The work is most often cited by research in Business and International Management (99 citations), Virology (196 citations), Aging (18 citations), Molecular Biology (571 citations) and Pathology and Forensic Medicine (129 citations). Won‐Bin Young has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Kamel Khalili, Eric T. Ahrens, Wenhui Hu, Raj Putatunda, Chaoran Yin, Ting Zhang, Yonggang Zhang, Daniel T. Simmons, Deepak K. Kadayakkara and Rafal Kaminski. Their work appears in journals such as Journal of Virology, BioTechniques, Scientific Reports, Molecular Therapy — Nucleic Acids and Molecular Therapy.

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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