Vered Bar

1.3k total citations
9 papers, 729 citations indexed

About

Vered Bar is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Oncology. According to data from OpenAlex, Vered Bar has authored 9 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Vered Bar's work include Hereditary Neurological Disorders (3 papers), Erythrocyte Function and Pathophysiology (2 papers) and Maternal Mental Health During Pregnancy and Postpartum (2 papers). Vered Bar is often cited by papers focused on Hereditary Neurological Disorders (3 papers), Erythrocyte Function and Pathophysiology (2 papers) and Maternal Mental Health During Pregnancy and Postpartum (2 papers). Vered Bar collaborates with scholars based in Israel, United States and Spain. Vered Bar's co-authors include Elior Peles, Ido Horresh, Joseph L. Kissil, Eugenia Martínez‐Hernández, Sander Markx, Isabel Illa, Kevin A. Strauss, Christina Wilson, Luís Bataller and Steven S. Scherer and has published in prestigious journals such as Neuron, Journal of Neuroscience and The Journal of Cell Biology.

In The Last Decade

Vered Bar

9 papers receiving 720 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vered Bar Israel 7 339 300 218 142 121 9 729
Jessica A. Panzer United States 18 390 1.2× 210 0.7× 324 1.5× 110 0.8× 37 0.3× 28 903
Artem Kaplan United States 5 301 0.9× 188 0.6× 283 1.3× 53 0.4× 57 0.5× 6 640
Dolores Domínguez-Pinos Spain 9 119 0.4× 401 1.3× 127 0.6× 39 0.3× 116 1.0× 18 635
Mihai Ceangă Germany 10 226 0.7× 147 0.5× 98 0.4× 52 0.4× 82 0.7× 20 489
Renata Vieira de Sá Netherlands 9 255 0.8× 185 0.6× 398 1.8× 32 0.2× 168 1.4× 11 819
Marco Onorati Italy 14 67 0.2× 294 1.0× 525 2.4× 53 0.4× 190 1.6× 29 728
Benedikt Grünewald Germany 11 490 1.4× 265 0.9× 179 0.8× 74 0.5× 27 0.2× 19 693
Ji‐Yoen Kim United States 9 85 0.3× 153 0.5× 288 1.3× 38 0.3× 37 0.3× 9 508
Warren T Kim United States 10 183 0.5× 315 1.1× 625 2.9× 601 4.2× 45 0.4× 15 1.2k
Natasa Schiza Cyprus 8 370 1.1× 167 0.6× 190 0.9× 54 0.4× 35 0.3× 9 578

Countries citing papers authored by Vered Bar

Since Specialization
Citations

This map shows the geographic impact of Vered Bar'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 Vered Bar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vered Bar more than expected).

Fields of papers citing papers by Vered Bar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vered Bar. 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 Vered Bar. The network helps show where Vered Bar may publish in the future.

Co-authorship network of co-authors of Vered Bar

This figure shows the co-authorship network connecting the top 25 collaborators of Vered Bar. A scholar is included among the top collaborators of Vered Bar 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 Vered Bar. Vered Bar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Amit, Guy, Chen Yanover, Maytal Bivas‐Benita, et al.. (2024). Antidepressant use during pregnancy and the risk of preterm birth – a cohort study. 2(1). 6 indexed citations
2.
Ben-Yishay, Rakefet, Nora Balint‐Lahat, Vered Bar, et al.. (2024). Class Effect Unveiled: PPARγ Agonists and MEK Inhibitors in Cancer Cell Differentiation. Cells. 13(17). 1506–1506. 2 indexed citations
3.
Horn, Galit, Tova Waks, Ido Laskov, et al.. (2022). Comparing Intraperitoneal and Intravenous Personalized ErbB2CAR-T for the Treatment of Epithelial Ovarian Cancer. Biomedicines. 10(9). 2216–2216. 9 indexed citations
4.
Amit, Guy, et al.. (2021). Estimation of postpartum depression risk from electronic health records using machine learning. BMC Pregnancy and Childbirth. 21(1). 630–630. 43 indexed citations
5.
Betley, J. Nicholas, Susan Brenner‐Morton, Vered Bar, et al.. (2014). Neuronal Ig/Caspr Recognition Promotes the Formation of Axoaxonic Synapses in Mouse Spinal Cord. Neuron. 81(1). 120–129. 57 indexed citations
6.
Bar, Vered, Helena Sabanay, Shahar Frechter, et al.. (2011). N-WASP is required for membrane wrapping and myelination by Schwann cells. The Journal of Cell Biology. 192(2). 243–250. 62 indexed citations
7.
Lancaster, Eric, Maartje G. Huijbers, Vered Bar, et al.. (2010). Investigations of caspr2, an autoantigen of encephalitis and neuromyotonia. Annals of Neurology. 69(2). 303–311. 323 indexed citations
8.
Horresh, Ido, Vered Bar, Joseph L. Kissil, & Elior Peles. (2010). Organization of Myelinated Axons by Caspr and Caspr2 Requires the Cytoskeletal Adapter Protein 4.1B. Journal of Neuroscience. 30(7). 2480–2489. 92 indexed citations
9.
Ogawa, Yasuhiro, Dorothy P. Schafer, Ido Horresh, et al.. (2006). Spectrins and AnkyrinB Constitute a Specialized Paranodal Cytoskeleton. Journal of Neuroscience. 26(19). 5230–5239. 135 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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