Sik Yoon

3.9k citations
110 papers · 3.3k · h-index 32

Impact in

    • Electrospun Nanofibers in Biomedical Applications
    • Collagen: Extraction and Characterization
    • Advanced Cellulose Research Studies
    • Drug-Induced Hepatotoxicity and Protection

Papers in

Sik Yoon

107 papers receiving 3.2k citations

Peers

Sik Yoon
Comparison fields: 5 of 132
  • Biomaterials 580
  • Pharmacology 251
  • Molecular Medicine 112
  • Biochemistry 125
  • Cell Biology 279
Replace Xia Cao with:
Xia Cao China
Maryam Majidinia Iran
Kalamegam Gauthaman Saudi Arabia
Rui Liu China
Li Zhao China
Sumeet Gupta India
Sang Hun Lee South Korea
Prachya Kongtawelert Thailand
Yingchun Zhao China
Qi Li China
Sik Yoon relative to Xia Cao China Xia Cao's profile →
Citations per field
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Xia Cao · 1×
Citations per year

Countries citing papers authored by Sik Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Sik Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019266
2 2004144
3 2011124
4 2018108
5 2011103
6 2010102
7 201197
8 201791
9 201591
10 200385
11 201675
12 201073
13 201969
14 201867
15 201567
16 201365
17 201662
18 201161
19 201057
20 200954

About Sik Yoon

Sik Yoon is a scholar working on Molecular Biology, Immunology, Biomedical Engineering, Oncology and Biomaterials, having authored 110 papers that have together received 3.3k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (14 papers), Cancer Cells and Metastasis (9 papers), Electrospun Nanofibers in Biomedical Applications (8 papers), Immunotherapy and Immune Responses (8 papers), Drug-Induced Hepatotoxicity and Protection (8 papers), Liver Disease Diagnosis and Treatment (8 papers), Liver physiology and pathology (7 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Biomaterials (580 citations), Pharmacology (251 citations), Molecular Medicine (112 citations), Biochemistry (125 citations) and Cell Biology (279 citations). Sik Yoon has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Jeon‐Ok Moon, Jong-Young Kwak, Sun‐Yong Baek, Bong-Seon Kim, Seon-Yeong Hwang, Sae‐Ock Oh, Mi‐Hye Lee, Muhammad Ikram, Young Hun Jeong and Hae Young Chung. Their work appears in journals such as International Journal of Molecular Sciences, Marine Drugs, International Journal of Molecular Medicine, Archives of Pharmacal Research and RSC Advances.

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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