Yuval Blat
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- Fungal and yeast genetics research
- Ubiquitin and proteasome pathways
Papers in
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- Protein Structure and Dynamics 3
-
- Photoreceptor and optogenetics research 3
- Co-authors
- Nancy Kleckner (1 shared paper)Michael Eisenbach (7 shared papers)Nancy Kleckner (2 shared papers)Reine U Protacio (1 shared paper)Neil Hunter (1 shared paper)Jeff Bachant (1 shared paper)Stephen J. Elledge (1 shared paper)Annette A. Alcasabas (1 shared paper)
- Journals
- SLAS DISCOVERY (3 papers)Analytical Biochemistry (3 papers)Journal of Biological Chemistry (3 papers)Biochemistry (3 papers)Cell (2 papers)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Yuval Blat
26 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 98
- Cell Biology 317
- Molecular Biology 1.2k
- Genetics 262
- Pharmacology 135
- Cellular and Molecular Neuroscience 144
Countries citing papers authored by Yuval Blat
This map shows the geographic impact of Yuval Blat'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 Yuval Blat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuval Blat more than expected).
Fields of papers citing papers by Yuval Blat
This network shows the impact of papers produced by Yuval Blat. 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 Yuval Blat. The network helps show where Yuval Blat may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuval Blat, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 320 | |
| 2 | 2002 | 271 | |
| 3 | 2002 | 212 | |
| 4 | 2010 | 100 | |
| 5 | 2015 | 84 | |
| 6 | 2011 | 81 | |
| 7 | 1994 | 64 | |
| 8 | 1995 | 53 | |
| 9 | 2007 | 42 | |
| 10 | 1996 | 42 | |
| 11 | 1998 | 41 | |
| 12 | 1996 | 38 | |
| 13 | 1996 | 33 | |
| 14 | 1996 | 28 | |
| 15 | 2005 | 24 | |
| 16 | 2016 | 23 | |
| 17 | 2011 | 22 | |
| 18 | 2007 | 16 | |
| 19 | 2015 | 16 | |
| 20 | 2010 | 15 |
About Yuval Blat
Yuval Blat is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Pharmacology and Biophysics, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (6 papers), Cannabis and Cannabinoid Research (4 papers), Pancreatic function and diabetes (3 papers), Protein Structure and Dynamics (3 papers), Photoreceptor and optogenetics research (3 papers), Cell Image Analysis Techniques (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). The work is most often cited by research in Cell Biology (317 citations), Molecular Biology (1.2k citations), Genetics (262 citations), Pharmacology (135 citations) and Cellular and Molecular Neuroscience (144 citations). Yuval Blat has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Nancy Kleckner, Michael Eisenbach, Nancy Kleckner, Reine U Protacio, Neil Hunter, Jeff Bachant, Stephen J. Elledge, Annette A. Alcasabas, Donna L. Pedicord and Anat Bren. Their work appears in journals such as SLAS DISCOVERY, Analytical Biochemistry, Journal of Biological Chemistry, Biochemistry and Cell.
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.