Sik‐Won Choi

973 citations
50 papers · 810 · h-index 16

Impact in

Papers in

    • Bone Metabolism and Diseases 29
    • TGF-β signaling in diseases 4
    • Signaling Pathways in Disease 3
    • Bone health and treatments 18

Sik‐Won Choi

49 papers receiving 797 citations

Peers

Sik‐Won Choi
Comparison fields: 5 of 87
  • Orthopedics and Sports Medicine 71
  • Cancer Research 116
  • Oncology 199
  • Biochemistry 44
  • Molecular Biology 495
Replace Gaurav Swarnkar with:
Gaurav Swarnkar United States
Yoon‐Hee Cheon South Korea
Yu Qian China
Franziska Busch Germany
Shaohui Zong China
Ewa Karna Poland
Vishwa Deepak South Africa
Yasuko Koshihara Japan
Ling Jiang China
Kazuhisa Nishishita Japan
Sik‐Won Choi relative to Gaurav Swarnkar United States Gaurav Swarnkar's profile →
Citations per field
00.5×1.6×
Gaurav Swarnkar · 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 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009109
2 200983
3 201343
4 201242
5 201433
6 201533
7 201429
8 201624
9 201624
10 201422
11 201721
12 201519
13 201817
14 201115
15 201515
16 201615
17 201315
18 201514
19 201714
20 201614

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 50 papers that have together received 810 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (29 papers), Bone health and treatments (18 papers), NF-κB Signaling Pathways (7 papers), TGF-β signaling in diseases (4 papers), Phytoestrogen effects and research (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 (71 citations), Cancer Research (116 citations), Oncology (199 citations), Biochemistry (44 citations) and Molecular Biology (495 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, Jaemin Oh, Myeung Su Lee, Byung Jun Ryu, Young–Jin Son, Han Bok Kwak, Woo Duck Seo, Kwang‐Jin Kim and Seong‐Hee Moon. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Journal of Functional Foods, BMB Reports, Amino Acids and PLoS ONE.

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.

Explore authors with similar magnitude of impact