Charles Yoon

703 citations
7 papers · 461 · h-index 5

Impact in

    • Pluripotent Stem Cells Research
    • Glycosylation and Glycoproteins Research
    • CRISPR and Genetic Engineering
    • Single-cell and spatial transcriptomics
  • Spectroscopy top 10%
    • Advanced Proteomics Techniques and Applications

Papers in

    • Pluripotent Stem Cells Research 4
    • Congenital heart defects research 2
    • Renal and related cancers 1
    • CRISPR and Genetic Engineering 1
    • Tissue Engineering and Regenerative Medicine 2

Charles Yoon

7 papers receiving 454 citations

Peers

Charles Yoon
Comparison fields: 5 of 72
  • Molecular Biology 322
  • Spectroscopy 73
  • Cell Biology 49
  • Biomaterials 36
  • Oncology 74
Replace Kian Kani with:
Kian Kani United States
Jascha‐N. Rybak Switzerland
Eiko Hayashi Japan
Atsushi Terunuma United States
Eunkyung An United States
Suvi Natunen Finland
Amelie S. Benk Germany
Jung-Ming G. Lin United States
Jordi Gonzalez‐Molina Sweden
Laura Vidalino Italy
Charles Yoon relative to Kian Kani United States Kian Kani's profile →
Citations per field
00.5×1.5×1.8×
Kian Kani · 1×
Citations per year

Countries citing papers authored by Charles Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Charles Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Charles Yoon, 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 Charles Yoon Line = papers co-authored together Charles Yoon links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2015298
2 201358
3 200955
4 201724
5 201322
6
A Study of Medical Equipment Donations: Recipient Experiences
20163
7 20191

About Charles Yoon

Charles Yoon is a scholar working on Molecular Biology, Surgery, Public Health, Environmental and Occupational Health, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 461 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), Congenital heart defects research (2 papers), Biomedical and Engineering Education (2 papers), Global Health and Surgery (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Renal and related cancers (1 paper), CRISPR and Genetic Engineering (1 paper) and Quality and Safety in Healthcare (1 paper). The work is most often cited by research in Molecular Biology (322 citations), Spectroscopy (73 citations), Cell Biology (49 citations), Biomaterials (36 citations) and Oncology (74 citations). Charles Yoon has collaborated with scholars based in Canada, United States and Ghana. Frequent co-authors include Peter W. Zandstra, Damaris Bausch‐Fluck, Bernd Wollscheid, Andreas P. Frei, Ralph Schiess, Kenneth R. Boheler, Jennifer E. Van Eyk, Thomas Bock, Ulrich Omasits and Ruedi Aebersold. Their work appears in journals such as Stem Cells, PLoS Genetics, Proceedings of the National Academy of Sciences, PLoS ONE and Stem Cell Reports.

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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