Mati Cohen
Impact in
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- Protein Structure and Dynamics 6
- RNA and protein synthesis mechanisms 1
- Advanced biosensing and bioanalysis techniques 1
-
- Enzyme Structure and Function 4
- Co-authors
- Gideon Schreiber (6 shared papers)Hani Neuvirth (2 shared papers)Dana Reichmann (2 shared papers)Benjamin Schuler (1 shared paper)Gilad Haran (1 shared paper)Elizabeth Rhoades (1 shared paper)Ofer Rahat (1 shared paper)Vladimir Potapov (2 shared papers)
- Journals
- Proteins Structure Function and Bioinformatics (1 paper)BMC Bioinformatics (1 paper)Journal of the American Chemical Society (1 paper)Current Opinion in Structural Biology (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- IsraelGermanySwitzerland
In The Last Decade
Mati Cohen
7 papers receiving 461 citations
Peers
Comparison fields: 5 of 73
- Biophysics 63
- Structural Biology 11
- Molecular Biology 381
- Cell Biology 43
- Radiology, Nuclear Medicine and Imaging 51
Countries citing papers authored by Mati Cohen
This map shows the geographic impact of Mati Cohen'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 Mati Cohen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mati Cohen more than expected).
Fields of papers citing papers by Mati Cohen
This network shows the impact of papers produced by Mati Cohen. 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 Mati Cohen. The network helps show where Mati Cohen may publish in the future.
Co-authors
The 12 scholars most cited alongside Mati Cohen, 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 | 2007 | 159 | |
| 2 | 2004 | 146 | |
| 3 | 2007 | 51 | |
| 4 | 2008 | 35 | |
| 5 | 2007 | 33 | |
| 6 | 2009 | 28 | |
| 7 | 2010 | 18 |
About Mati Cohen
Mati Cohen is a scholar working on Molecular Biology, Materials Chemistry, Cell Biology, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 7 papers that have together received 470 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Enzyme Structure and Function (4 papers), Biotin and Related Studies (2 papers), RNA and protein synthesis mechanisms (1 paper), Molecular Junctions and Nanostructures (1 paper), Computational Drug Discovery Methods (1 paper), Spectroscopy and Quantum Chemical Studies (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Biophysics (63 citations), Structural Biology (11 citations), Molecular Biology (381 citations), Cell Biology (43 citations) and Radiology, Nuclear Medicine and Imaging (51 citations). Mati Cohen has collaborated with scholars based in Israel, Germany and Switzerland. Frequent co-authors include Gideon Schreiber, Hani Neuvirth, Dana Reichmann, Benjamin Schuler, Gilad Haran, Elizabeth Rhoades, Ofer Rahat, Vladimir Potapov, Michal Harel and Annett Reichel. Their work appears in journals such as Proteins Structure Function and Bioinformatics, BMC Bioinformatics, Journal of the American Chemical Society, Current Opinion in Structural Biology and PLoS Computational 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.