Haim Barr
Impact in
- Physiology top 10%
-
- Ubiquitin and proteasome pathways
- Advanced biosensing and bioanalysis techniques
- Chemical Synthesis and Analysis
- Protein Degradation and Inhibitors
Papers in
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- Protein Degradation and Inhibitors 5
- Ubiquitin and proteasome pathways 2
- RNA Research and Splicing 2
- Biochemical and Molecular Research 2
- Co-authors
- Thomas Dobner (1 shared paper)Rakefet Sharf (2 shared papers)Tamar Kleinberger (2 shared papers)Ronit Shtrichman (1 shared paper)Yuval Reiss (2 shared papers)Nir London (9 shared papers)Ronen Gabizon (4 shared papers)Efrat Resnick (4 shared papers)
- Journals
- Journal of Medicinal Chemistry (3 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)iScience (2 papers)Journal of the American Chemical Society (2 papers)Scientific Reports (2 papers)
- Partner nations
- IsraelUnited StatesCzechia
In The Last Decade
Haim Barr
35 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 88
- Physiology 47
- Molecular Biology 668
- Cell Biology 128
- Cancer Research 90
- Oncology 129
Countries citing papers authored by Haim Barr
This map shows the geographic impact of Haim Barr'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 Haim Barr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haim Barr more than expected).
Fields of papers citing papers by Haim Barr
This network shows the impact of papers produced by Haim Barr. 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 Haim Barr. The network helps show where Haim Barr may publish in the future.
Co-authors
The 25 scholars most cited alongside Haim Barr, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 130 | |
| 2 | 2017 | 119 | |
| 3 | 2003 | 99 | |
| 4 | 2021 | 77 | |
| 5 | 2009 | 74 | |
| 6 | 2021 | 61 | |
| 7 | 2021 | 59 | |
| 8 | 1999 | 59 | |
| 9 | 2021 | 54 | |
| 10 | 2016 | 30 | |
| 11 | 2020 | 26 | |
| 12 | 2018 | 26 | |
| 13 | 1995 | 25 | |
| 14 | 2020 | 21 | |
| 15 | 2012 | 16 | |
| 16 | 2010 | 16 | |
| 17 | 2019 | 15 | |
| 18 | 2020 | 14 | |
| 19 | 2021 | 13 | |
| 20 | 2022 | 12 |
About Haim Barr
Haim Barr is a scholar working on Molecular Biology, Infectious Diseases, Organic Chemistry, Surgery and Genetics, having authored 35 papers that have together received 1.0k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (5 papers), Click Chemistry and Applications (4 papers), Autophagy in Disease and Therapy (3 papers), Adenosine and Purinergic Signaling (3 papers), Ubiquitin and proteasome pathways (2 papers), RNA Research and Splicing (2 papers), Biochemical and Molecular Research (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Physiology (47 citations), Molecular Biology (668 citations), Cell Biology (128 citations), Cancer Research (90 citations) and Oncology (129 citations). Haim Barr has collaborated with scholars based in Israel, United States and Czechia. Frequent co-authors include Thomas Dobner, Rakefet Sharf, Tamar Kleinberger, Ronit Shtrichman, Yuval Reiss, Nir London, Ronen Gabizon, Efrat Resnick, Ayelet Shmueli and Hedva Gonen. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, iScience, Journal of the American Chemical Society and Scientific Reports.
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.