Gary Laevsky
Impact in
- Cell Biology top 10%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Cell Image Analysis Techniques 5
- Advanced Fluorescence Microscopy Techniques 3
-
- Ubiquitin and proteasome pathways 1
- Co-authors
- David A. Knecht (4 shared papers)Charles Giardina (1 shared paper)Lei Yin (1 shared paper)Ericka M. Bueno (1 shared paper)Gilda A. Barabino (1 shared paper)Charles A. DiMarzio (4 shared papers)Christina J. DeCoste (4 shared papers)Milind Rajadhyaksha (3 shared papers)
- Journals
- BioTechniques (2 papers)Microbiology (1 paper)Journal of Microscopy (1 paper)Nature Cell Biology (1 paper)Current Protocols in Cytometry (1 paper)
- Partner nations
- United StatesItalySouth Africa
In The Last Decade
Gary Laevsky
15 papers receiving 661 citations
Peers
Comparison fields: 5 of 115
- Cell Biology 178
- Biophysics 53
- Cancer Research 68
- Molecular Biology 294
- Biomedical Engineering 150
Countries citing papers authored by Gary Laevsky
This map shows the geographic impact of Gary Laevsky'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 Gary Laevsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary Laevsky more than expected).
Fields of papers citing papers by Gary Laevsky
This network shows the impact of papers produced by Gary Laevsky. 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 Gary Laevsky. The network helps show where Gary Laevsky may publish in the future.
Co-authors
The 25 scholars most cited alongside Gary Laevsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 232 | |
| 2 | 2003 | 98 | |
| 3 | 2021 | 97 | |
| 4 | 2001 | 63 | |
| 5 | 2007 | 57 | |
| 6 | 2002 | 37 | |
| 7 | 2007 | 30 | |
| 8 | 2001 | 27 | |
| 9 | 2021 | 15 | |
| 10 | 2025 | 5 | |
| 11 | 2013 | 5 | |
| 12 | 2005 | 4 | |
| 13 | 2008 | 3 | |
| 14 | 2006 | 3 | |
| 15 | 2021 | 2 |
About Gary Laevsky
Gary Laevsky is a scholar working on Biophysics, Molecular Biology, Biomedical Engineering, Cell Biology and Physiology, having authored 15 papers that have together received 678 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (5 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Cellular Mechanics and Interactions (3 papers), 3D Printing in Biomedical Research (3 papers), Microfluidic and Bio-sensing Technologies (2 papers), Spaceflight effects on biology (2 papers), Ubiquitin and proteasome pathways (1 paper) and Optical measurement and interference techniques (1 paper). The work is most often cited by research in Cell Biology (178 citations), Biophysics (53 citations), Cancer Research (68 citations), Molecular Biology (294 citations) and Biomedical Engineering (150 citations). Gary Laevsky has collaborated with scholars based in United States, Italy and South Africa. Frequent co-authors include David A. Knecht, Charles Giardina, Lei Yin, Ericka M. Bueno, Gilda A. Barabino, Charles A. DiMarzio, Christina J. DeCoste, Milind Rajadhyaksha, Mark Esposito and Yibin Kang. Their work appears in journals such as BioTechniques, Microbiology, Journal of Microscopy, Nature Cell Biology and Current Protocols in Cytometry.
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.