Sik‐Won Choi

943 citations
46 papers · 788 · h-index 16

Impact in

Papers in

    • Bone Metabolism and Diseases 30
    • TGF-β signaling in diseases 4
    • Signaling Pathways in Disease 3
    • Bone health and treatments 19

Sik‐Won Choi

45 papers receiving 775 citations

Peers

Sik‐Won Choi
Comparison fields: 5 of 88
  • Orthopedics and Sports Medicine 79
  • Cancer Research 127
  • Oncology 222
  • Molecular Biology 527
  • Biochemistry 44
Replace Fangming Song with:
Fangming Song China
Yoon‐Hee Cheon South Korea
Yu Qian China
Zhanwang Xu China
In‐Ryoung Kim South Korea
Franziska Busch Germany
Gaurav Swarnkar United States
Ewa Karna Poland
Yasuko Koshihara Japan
Tsukasa Tominari Japan
Sik‐Won Choi relative to Fangming Song China Fangming Song's profile →
Citations per field
00.5×12.3×
Fangming Song · 1×
Citations per year

Countries citing papers authored by Sik‐Won Choi

Since Specialization
Citations

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

Fields of papers citing papers by Sik‐Won Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009109
2 200983
3 201343
4 201241
5 201533
6 201432
7 201427
8 201624
9 201624
10 201422
11 201721
12 201519
13 201816
14 201315
15 201615
16 201115
17 201514
18 201714
19 201214
20 201414

About Sik‐Won Choi

Sik‐Won Choi is a scholar working on Molecular Biology, Oncology, Cancer Research, Pharmacology and Pathology and Forensic Medicine, having authored 46 papers that have together received 788 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (30 papers), Bone health and treatments (19 papers), NF-κB Signaling Pathways (8 papers), Phytoestrogen effects and research (4 papers), TGF-β signaling in diseases (4 papers), Signaling Pathways in Disease (3 papers), Bone Tissue Engineering Materials (3 papers) and Inflammatory mediators and NSAID effects (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (79 citations), Cancer Research (127 citations), Oncology (222 citations), Molecular Biology (527 citations) and Biochemistry (44 citations). Sik‐Won Choi has collaborated with scholars based in South Korea, Japan and India. Frequent co-authors include Seong Hwan Kim, Jeong‐Tae Yeon, Myeung Su Lee, Jaemin Oh, Young–Jin Son, Han Bok Kwak, Byung Jun Ryu, Kwang‐Jin Kim, Woo Duck Seo and Churl Hong Chun. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, BMB Reports, Phytotherapy Research, Bone and Molecules.

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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