Amit Tzur
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
Papers in
-
- Ubiquitin and proteasome pathways 6
- Photosynthetic Processes and Mechanisms 2
- Cell Biology 11
- Microtubule and mitosis dynamics 8
- Co-authors
- Marc W. Kirschner (6 shared papers)Meital Cohen (3 shared papers)Howard Shapiro (1 shared paper)Chaim Wachtel (1 shared paper)Alexander Perelman (1 shared paper)Ran Kafri (1 shared paper)Valerie S. LeBleu (1 shared paper)Galit Lahav (1 shared paper)
- Journals
- PLoS ONE (3 papers)Nature Methods (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cell Cycle (2 papers)Molecular & Cellular Proteomics (2 papers)
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Amit Tzur
23 papers receiving 1.9k citations
Amit Tzur's Hit Papers
Peers
Comparison fields: 5 of 148
- Biophysics 158
- Cell Biology 407
- Aging 29
- Molecular Biology 1.1k
- Oncology 226
Countries citing papers authored by Amit Tzur
This map shows the geographic impact of Amit Tzur'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 Amit Tzur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Tzur more than expected).
Fields of papers citing papers by Amit Tzur
This network shows the impact of papers produced by Amit Tzur. 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 Amit Tzur. The network helps show where Amit Tzur may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit Tzur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | JC-1: alternative excitation wavelengths facilitate mitochondrial membrane potential cytometry Hit paper breakdown → | 2012 | 547 |
| 2 | 2009 | 317 | |
| 3 | 2010 | 284 | |
| 4 | 2010 | 194 | |
| 5 | 2011 | 140 | |
| 6 | 2013 | 72 | |
| 7 | 2017 | 62 | |
| 8 | 2014 | 61 | |
| 9 | 2020 | 47 | |
| 10 | 2017 | 39 | |
| 11 | 2014 | 25 | |
| 12 | 2012 | 23 | |
| 13 | 2013 | 20 | |
| 14 | 2013 | 20 | |
| 15 | 2013 | 16 | |
| 16 | 2014 | 15 | |
| 17 | 2020 | 13 | |
| 18 | 2014 | 13 | |
| 19 | 2012 | 11 | |
| 20 | 2015 | 7 |
About Amit Tzur
Amit Tzur is a scholar working on Molecular Biology, Cell Biology, Biophysics, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 1.9k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (8 papers), Ubiquitin and proteasome pathways (6 papers), Microfluidic and Bio-sensing Technologies (4 papers), Advanced Fluorescence Microscopy Techniques (4 papers), Cell Image Analysis Techniques (4 papers), Advanced Proteomics Techniques and Applications (2 papers), Cancer-related Molecular Pathways (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Biophysics (158 citations), Cell Biology (407 citations), Aging (29 citations), Molecular Biology (1.1k citations) and Oncology (226 citations). Amit Tzur has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Marc W. Kirschner, Meital Cohen, Howard Shapiro, Chaim Wachtel, Alexander Perelman, Ran Kafri, Valerie S. LeBleu, Galit Lahav, Paul Jorgensen and Jennifer L. Gallop. Their work appears in journals such as PLoS ONE, Nature Methods, Proceedings of the National Academy of Sciences, Cell Cycle and Molecular & Cellular Proteomics.
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.