Zaw Win

895 citations
15 papers · 622 · h-index 13

Impact in

Papers in

    • Cellular Mechanics and Interactions 13
    • Microtubule and mitosis dynamics 3
    • Hippo pathway signaling and YAP/TAZ 2
    • 3D Printing in Biomedical Research 6
    • Elasticity and Material Modeling 4

Zaw Win

15 papers receiving 618 citations

Peers

Zaw Win
Comparison fields: 5 of 76
  • Cell Biology 392
  • Immunology and Allergy 57
  • Biomedical Engineering 288
  • Biomaterials 77
  • Biophysics 29
Replace Ana Rubina Perestrelo with:
Ana Rubina Perestrelo Czechia
Jennifer Bays United States
Nikhil Jain Switzerland
Jill S. Harunaga United States
Guido Caluori Czechia
Anouk R. Killaars United States
Brian D. Cosgrove United States
Adam Shellard United Kingdom
Sjoerd van Helvert Netherlands
Zaw Win relative to Ana Rubina Perestrelo Czechia Ana Rubina Perestrelo's profile →
Citations per field
00.5×2.5×
Ana Rubina Perestrelo · 1×
Citations per year

Countries citing papers authored by Zaw Win

Since Specialization
Citations

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

Fields of papers citing papers by Zaw Win

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2017220
2 201886
3 202059
4 201847
5 201845
6 201530
7 201720
8 202119
9 202018
10 201418
11 201718
12 201415
13 201814
14 202011
15 20152

About Zaw Win

Zaw Win is a scholar working on Cell Biology, Biomedical Engineering, Immunology and Allergy, Molecular Biology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 622 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (13 papers), 3D Printing in Biomedical Research (6 papers), Cell Adhesion Molecules Research (4 papers), Elasticity and Material Modeling (4 papers), Microtubule and mitosis dynamics (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Protein Tyrosine Phosphatases (1 paper) and Tendon Structure and Treatment (1 paper). The work is most often cited by research in Cell Biology (392 citations), Immunology and Allergy (57 citations), Biomedical Engineering (288 citations), Biomaterials (77 citations) and Biophysics (29 citations). Zaw Win has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Patrick W. Alford, Paolo P. Provenzano, Arja Ray, Deok‐Ho Kim, Rachel Edwards, Buzz Baum, Helen K. Matthews, Joseph M. Metzger, Erdem D. Tabdanov and Matthew Wheelwright. Their work appears in journals such as Nature Communications, Developmental Cell, Journal of Biomechanical Engineering, The Journal of Cell Biology and Current 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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