Jae‐Won Shin

4.2k citations
16 papers · 3.1k indexed · 2 hit papers · h-index 13

Jae‐Won Shin

15 papers receiving 3.1k citations

Hit Papers

Nuclear lamin stiffness is a barrier to 3D migration, but...45620132026201720214008001.2k

Peers

Jae‐Won Shin
Comparison fields: 5 of 115
  • Cell Biology 1.8k
  • Immunology and Allergy 192
  • Molecular Biology 1.7k
  • Biomedical Engineering 744
  • Hematology 171
Replace Kyle Spinler with:
Kyle Spinler United States
P.C. Dave P. Dingal United States
Amnon Buxboim Israel
Joe Swift United States
Sharona Even‐Ram Israel
Jae‐Won Shin United States
Farhan Chowdhury United States
Frédéric Saltel France
Takamasa Harada United States
Tito Panciera Italy
Jae‐Won Shin relative to Kyle Spinler United States Kyle Spinler's profile →
Citations per field
00.5×1.5×
Kyle Spinler · 1×
Citations per year

Countries citing papers authored by Jae‐Won Shin

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Won Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20250
2 20238
3 201979
4 20184
5 201628
6 201599
7
Nuclear lamin stiffness is a barrier to 3D migration, but softness can limit survivalbreakdown →
2014456
8 2014174
9 2014279
10 201434
11
Nuclear Lamin-A Scales with Tissue Stiffness and Enhances Matrix-Directed Differentiationbreakdown →
20131498
12 201328
13 201355
14 2013108
15 2012227
16 201172

About Jae‐Won Shin

Jae‐Won Shin is a scholar working on Cell Biology, Hematology and Immunology and Allergy, having authored 16 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (9 papers), Nuclear Structure and Function (4 papers), Platelet Disorders and Treatments (3 papers), 3D Printing in Biomedical Research (3 papers), RNA Research and Splicing (3 papers), Cancer Cells and Metastasis (2 papers), Mesenchymal stem cell research (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Cell Biology (1.8k citations), Immunology and Allergy (192 citations) and Molecular Biology (1.7k citations). Jae‐Won Shin has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Dennis E. Discher, Joe Swift, P.C. Dave P. Dingal, Kyle Spinler, Irena L. Ivanovska, Takamasa Harada, Amnon Buxboim, Florian Rehfeldt, David W. Speicher and J. David Pajerowski. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.

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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