Haim Barr

3.2k total citations
35 papers, 953 citations indexed

About

Haim Barr is a scholar working on Molecular Biology, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Haim Barr has authored 35 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 5 papers in Infectious Diseases and 4 papers in Organic Chemistry. Recurrent topics in Haim Barr's work include Protein Degradation and Inhibitors (5 papers), Click Chemistry and Applications (4 papers) and Adenosine and Purinergic Signaling (3 papers). Haim Barr is often cited by papers focused on Protein Degradation and Inhibitors (5 papers), Click Chemistry and Applications (4 papers) and Adenosine and Purinergic Signaling (3 papers). Haim Barr collaborates with scholars based in Israel, United States and Czechia. Haim Barr's co-authors include Thomas Dobner, Rakefet Sharf, Tamar Kleinberger, Ronit Shtrichman, Yuval Reiss, Nir London, Aaron Ciechanover, Hedva Gonen, Efrat Resnick and Ronen Gabizon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Haim Barr

34 papers receiving 942 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Haim Barr Israel 16 662 147 133 127 99 35 953
Ikram El Yazidi‐Belkoura France 22 1.0k 1.6× 187 1.3× 195 1.5× 112 0.9× 115 1.2× 36 1.6k
Bainan Wu United States 22 880 1.3× 150 1.0× 244 1.8× 87 0.7× 69 0.7× 28 1.2k
Laurent Brino France 21 1.0k 1.6× 92 0.6× 163 1.2× 74 0.6× 154 1.6× 35 1.3k
E. Salah United Kingdom 19 1.0k 1.6× 172 1.2× 239 1.8× 139 1.1× 68 0.7× 47 1.4k
Laura E. Sanman United States 11 615 0.9× 173 1.2× 244 1.8× 86 0.7× 71 0.7× 16 987
Marton I. Siklos United States 10 507 0.8× 106 0.7× 174 1.3× 81 0.6× 48 0.5× 16 779
Akash Das India 12 494 0.7× 96 0.7× 73 0.5× 198 1.6× 43 0.4× 39 947
Yumiko Wada Japan 16 695 1.0× 83 0.6× 220 1.7× 76 0.6× 32 0.3× 59 1.3k
Qingxiang Sun China 20 1.0k 1.5× 55 0.4× 159 1.2× 213 1.7× 60 0.6× 59 1.4k
Pengfei Fang China 19 821 1.2× 179 1.2× 103 0.8× 58 0.5× 60 0.6× 59 1.1k

Countries citing papers authored by Haim Barr

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Haim Barr

This figure shows the co-authorship network connecting the top 25 collaborators of Haim Barr. A scholar is included among the top collaborators of Haim Barr based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haim Barr. Haim Barr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Oren, Roni, Bareket Dassa, A.N. Plotnikov, et al.. (2024). Dual targeting of histone deacetylases and MYC as potential treatment strategy for H3-K27M pediatric gliomas. eLife. 13. 3 indexed citations
2.
Bialik, Shani, Sílvia Carvalho, Noga Kozer, et al.. (2024). Structure–activity relationship study of small-molecule inhibitor of Atg12-Atg3 protein–protein interaction. Bioorganic & Medicinal Chemistry Letters. 112. 129939–129939. 2 indexed citations
3.
Oren, Roni, Bareket Dassa, A.N. Plotnikov, et al.. (2024). Dual targeting of histone deacetylases and MYC as potential treatment strategy for H3-K27M pediatric gliomas. eLife. 13. 3 indexed citations
4.
Khan, Suman, Jeanne Chiaravalli, Noga Kozer, et al.. (2024). High-throughput screening identifies broad-spectrum Coronavirus entry inhibitors. iScience. 27(6). 110019–110019. 2 indexed citations
5.
Shaham‐Niv, Shira, Assaf Ezra, Dor Zaguri, et al.. (2024). Targeting phenylalanine assemblies as a prospective disease-modifying therapy for phenylketonuria. Biophysical Chemistry. 308. 107215–107215. 3 indexed citations
6.
Vanhoutte, Roeland, Marta Barniol‐Xicota, Winston Chiu, et al.. (2023). Azapeptide activity-based probes for the SARS-CoV-2 main protease enable visualization of inhibition in infected cells. Chemical Science. 14(7). 1666–1672. 7 indexed citations
7.
Carvalho, Sílvia, Noga Kozer, Haim Barr, et al.. (2023). Identifying a selective inhibitor of autophagy that targets ATG12-ATG3 protein-protein interaction. Autophagy. 19(8). 2372–2385. 10 indexed citations
8.
Zaidman, Daniel, Paul Gehrtz, D. Fearon, et al.. (2021). An automatic pipeline for the design of irreversible derivatives identifies a potent SARS-CoV-2 Mpro inhibitor. Cell chemical biology. 28(12). 1795–1806.e5. 52 indexed citations
9.
Cerqueira, Fernanda M., Noga Kozer, Anton Petcherski, et al.. (2020). MitoTimer-based high-content screen identifies two chemically-related benzothiophene derivatives that enhance basal mitophagy. Biochemical Journal. 477(2). 461–475. 13 indexed citations
10.
Plotnikov, A.N., Noga Kozer, Sílvia Carvalho, et al.. (2020). PRMT1 inhibition induces differentiation of colon cancer cells. Scientific Reports. 10(1). 20030–20030. 24 indexed citations
11.
Barr, Haim, et al.. (2020). Structural basis for producing selective MAP2K7 inhibitors. Bioorganic & Medicinal Chemistry Letters. 30(22). 127546–127546. 4 indexed citations
12.
Snitser, Olga, Haleli Sharir, Noga Kozer, et al.. (2020). Ubiquitous selection for mecA in community-associated MRSA across diverse chemical environments. Nature Communications. 11(1). 6038–6038. 21 indexed citations
13.
Reznik, Nava, Noga Kozer, Avital Eisenberg‐Lerner, et al.. (2019). Phenotypic Screen Identifies JAK2 as a Major Regulator of FAT10 Expression. ACS Chemical Biology. 14(12). 2538–2545. 2 indexed citations
14.
Yifa, Oren, Karen Weisinger, Elad Bassat, et al.. (2019). The small molecule Chicago Sky Blue promotes heart repair following myocardial infarction in mice. JCI Insight. 4(22). 14 indexed citations
15.
Georgeson, Joseph M., Tal Ilani, Vladimir Kiss, et al.. (2017). Protein recognition by a pattern-generating fluorescent molecular probe. Nature Nanotechnology. 12(12). 1161–1168. 110 indexed citations
16.
Biezuner, Tamir, Adam Spiro, Rivka Adar, et al.. (2016). A generic, cost-effective, and scalable cell lineage analysis platform. Genome Research. 26(11). 1588–1599. 28 indexed citations
17.
Alchanati, Iris, Galit Cohen, Haim Barr, et al.. (2009). The E3 Ubiquitin-Ligase Bmi1/Ring1A Controls the Proteasomal Degradation of Top2α Cleavage Complex – A Potentially New Drug Target. PLoS ONE. 4(12). e8104–e8104. 71 indexed citations
18.
Shmueli, Ayelet, et al.. (2003). A novel mammalian endoplasmic reticulum ubiquitin ligase homologous to the yeast Hrd1. Biochemical and Biophysical Research Communications. 303(1). 91–97. 96 indexed citations
19.
Sprecher, Hannah, et al.. (1995). Alteration of Mitochondrial Gene Expression and Disruption of Respiratory Function by the Lipophilic Antifolate Pyrimethamine in Mammalian Cells. Journal of Biological Chemistry. 270(35). 20668–20676. 25 indexed citations
20.
Barr, Haim, et al.. (1988). SELECTIVE DESTRUCTION OF EXPERIMENTAL COLON CANCER USING PHOTODYNAMIC THERAPY. UCL Discovery (University College London). 6 indexed citations

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.

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