Uri Barash
Impact in
- Cell Biology top 2%
- Proteoglycans and glycosaminoglycans research
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
- Cell Biology 32
- Proteoglycans and glycosaminoglycans research 32
- Hippo pathway signaling and YAP/TAZ 2
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- Glycosylation and Glycoproteins Research 19
- Fibroblast Growth Factor Research 19
- Wnt/β-catenin signaling in development and cancer 4
- PI3K/AKT/mTOR signaling in cancer 2
- Co-authors
- Israël Vlodavsky (32 shared papers)Neta Ilan (21 shared papers)Victoria Cohen‐Kaplan (2 shared papers)Ralph D. Sanderson (2 shared papers)Ilanit Boyango (8 shared papers)Inna Naroditsky (6 shared papers)Yaniv Zohar (4 shared papers)Hien M. Nguyen (3 shared papers)
- Journals
- The FASEB Journal (3 papers)Cancer Research (3 papers)Oncotarget (2 papers)Matrix Biology (2 papers)Cells (2 papers)
- Partner nations
- IsraelUnited StatesSweden
In The Last Decade
Uri Barash
34 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Cell Biology 651
- Immunology and Allergy 60
- Molecular Biology 658
- Cancer Research 115
- Immunology 151
Countries citing papers authored by Uri Barash
This map shows the geographic impact of Uri Barash'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 Uri Barash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uri Barash more than expected).
Fields of papers citing papers by Uri Barash
This network shows the impact of papers produced by Uri Barash. 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 Uri Barash. The network helps show where Uri Barash may publish in the future.
Co-authors
The 25 scholars most cited alongside Uri Barash, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 145 | |
| 2 | 2011 | 115 | |
| 3 | 2014 | 87 | |
| 4 | 2019 | 81 | |
| 5 | 2014 | 62 | |
| 6 | 2018 | 49 | |
| 7 | 2017 | 46 | |
| 8 | 2018 | 39 | |
| 9 | 2019 | 38 | |
| 10 | 2019 | 36 | |
| 11 | 2016 | 36 | |
| 12 | 2009 | 36 | |
| 13 | 2010 | 33 | |
| 14 | 2017 | 32 | |
| 15 | 2017 | 32 | |
| 16 | 2021 | 30 | |
| 17 | 2020 | 28 | |
| 18 | 2022 | 28 | |
| 19 | 2020 | 23 | |
| 20 | 2020 | 21 |
About Uri Barash
Uri Barash is a scholar working on Cell Biology, Molecular Biology, Hematology, Surgery and Organic Chemistry, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (32 papers), Glycosylation and Glycoproteins Research (19 papers), Fibroblast Growth Factor Research (19 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Multiple Myeloma Research and Treatments (3 papers), Platelet Disorders and Treatments (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). The work is most often cited by research in Cell Biology (651 citations), Immunology and Allergy (60 citations), Molecular Biology (658 citations), Cancer Research (115 citations) and Immunology (151 citations). Uri Barash has collaborated with scholars based in Israel, United States and Sweden. Frequent co-authors include Israël Vlodavsky, Neta Ilan, Victoria Cohen‐Kaplan, Ralph D. Sanderson, Ilanit Boyango, Inna Naroditsky, Yaniv Zohar, Hien M. Nguyen, Edward Hammond and Gil Arvatz. Their work appears in journals such as The FASEB Journal, Cancer Research, Oncotarget, Matrix Biology and Cells.
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.