Barak Raveh

4.6k total citations
26 papers, 2.2k citations indexed

About

Barak Raveh is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Barak Raveh has authored 26 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Spectroscopy. Recurrent topics in Barak Raveh's work include Protein Structure and Dynamics (11 papers), RNA and protein synthesis mechanisms (6 papers) and Nuclear Structure and Function (5 papers). Barak Raveh is often cited by papers focused on Protein Structure and Dynamics (11 papers), RNA and protein synthesis mechanisms (6 papers) and Nuclear Structure and Function (5 papers). Barak Raveh collaborates with scholars based in Israel, United States and Switzerland. Barak Raveh's co-authors include Ora Schueler‐Furman, Nir London, Eyal Cohen, Lior Zimmerman, Andrej Săli, Michael P. Rout, Seung Joong Kim, Dana Movshovitz‐Attias, Daniel Russel and Susan R. Wente and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Barak Raveh

23 papers receiving 2.2k citations

Peers

Countries citing papers authored by Barak Raveh

Since Specialization

Citations

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

Fields of papers citing papers by Barak Raveh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barak Raveh

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Integrative mapping reveals molecular features underlying the mechanism of nucleocytoplasmic transport 2025 ·Proceedings of the National Academy of Sciences ·Barak Raveh, (unknown), (unknown), Daniel Russel, Ryo Hayama, Samuel Sparks, Digvijay Singh, Roderick Y. H. Lim, Elizabeth Villa, Michael P. Rout, David Cowburn, Andrej Săli	0
2	Bayesian metamodeling of early T-cell antigen receptor signaling accounts for its nanoscale activation patterns 2024 ·Frontiers in Immunology ·Yair Neve-Oz, Eilon Sherman, Barak Raveh	2
3	Interpreting single-cell and spatial omics data using deep neural network training dynamics 2024 ·Nature Computational Science ·(unknown), (unknown), Barak Raveh, Mor Nitzan	5
4	Mechanical force application to the nucleus regulates nucleocytoplasmic transport 2022 ·Nature Cell Biology ·Ion Andreu, (unknown), (unknown), (unknown), Marc Molina-Jordán, Amy E. M. Beedle, Alberto Elósegui-Artola, Juan F. Abenza, Leone Rossetti, Xavier Trepat, Barak Raveh, Pere Roca‐Cusachs	107
5	Bayesian metamodeling of complex biological systems across varying representations 2021 ·Proceedings of the National Academy of Sciences ·Barak Raveh, (unknown), Kate L. White, Tanmoy Sanyal, (unknown), (unknown), (unknown), Jitin Singla, Chenxi Wang, Jihui Zhao, (unknown), Nicholas A. Graham, Carl Kesselman, Raymond C. Stevens, Andrej Săli	25
6	Structure and Functional Anatomy of the Nuclear Pore Complex 2018 ·Biophysical Journal ·Seung Joong Kim, Javier Fernández-Martı́nez, Ilona Nudelman, Yi Shi, Wenzhu Zhang, Barak Raveh, Paula Upla, Ilan E. Chemmama, Riccardo Pellarin, Ignacia Echeverria, Steven J. Ludtke, Christopher W. Akey, Brian T. Chait, Andrej Săli, Michael P. Rout	1
7	Structural basis for chemokine recognition by a G protein–coupled receptor and implications for receptor activation 2017 ·Science Signaling ·Joshua J. Ziarek, Andrew B. Kleist, Nir London, Barak Raveh, (unknown), (unknown), Geneviève St‐Onge, (unknown), (unknown), Ishan Roy, Bryan S. Stephens, Sylvia Thelen, Christopher T. Veldkamp, Frederick D. Coffman, Marion C. Cohen, Michael B. Dwinell, Marcus Thelen, Francis C. Peterson, Nikolaus Heveker, Brian F. Volkman	71
8	Simple rules for passive diffusion through the nuclear pore complex 2016 ·The Journal of Cell Biology ·Benjamin L. Timney, Barak Raveh, Roxana Mironska, (unknown), Seung Joong Kim, Daniel Russel, Susan R. Wente, Andrej Săli, Michael P. Rout	328
9	Analytical and Simulation-Based Models for Drug Release and Gel-Degradation in a Tetra-PEG Hydrogel Drug-Delivery System 2015 ·Macromolecules ·(unknown), Miriam Sgobba, Barak Raveh, Giulio Rastelli, Andrej Săli, Daniel V. Santi	30
10	Peptide docking and structure-based characterization of peptide binding: from knowledge to know-how 2013 ·Current Opinion in Structural Biology ·Nir London, Barak Raveh, Ora Schueler‐Furman	86
11	Druggable protein–protein interactions – from hot spots to hot segments 2013 ·Current Opinion in Chemical Biology ·Nir London, Barak Raveh, Ora Schueler‐Furman	166
12	Modeling Peptide–Protein Interactions 2011 ·Methods in molecular biology ·Nir London, Barak Raveh, Ora Schueler‐Furman	34
13	Rosetta FlexPepDock web server—high resolution modeling of peptide–protein interactions 2011 ·Nucleic Acids Research ·Nir London, Barak Raveh, Eyal Cohen, (unknown), Ora Schueler‐Furman	312
14	Rosetta FlexPepDock ab-initio: Simultaneous Folding, Docking and Refinement of Peptides onto Their Receptors 2011 ·PLoS ONE ·Barak Raveh, Nir London, Lior Zimmerman, Ora Schueler‐Furman	224
15	Autophosphorylation Activates Dictyostelium Myosin II Heavy Chain Kinase A by Providing a Ligand for an Allosteric Binding Site in the α-Kinase Domain 2010 ·Journal of Biological Chemistry ·Scott W. Crawley, (unknown), Qilu Ye, Yidai Yang, Barak Raveh, Nir London, Ora Schueler‐Furman, Zongchao Jia, Graham P. Côté	21
16	Sub-angstrom modeling of complexes between flexible peptides and globular proteins 2010 ·Proteins Structure Function and Bioinformatics ·Barak Raveh, Nir London, Ora Schueler‐Furman	336
17	Can self‐inhibitory peptides be derived from the interfaces of globular protein–protein interactions? 2010 ·Proteins Structure Function and Bioinformatics ·Nir London, Barak Raveh, Dana Movshovitz‐Attias, Ora Schueler‐Furman	142
18	Rapid Sampling of Molecular Motions with Prior Information Constraints 2009 ·PLoS Computational Biology ·Barak Raveh, (unknown), Ora Schueler‐Furman, Dan Halperin	47
19	Generation, Comparison, and Merging of Pathways between Protein Conformations: Gating in K-Channels 2008 ·Biophysical Journal ·(unknown), Barak Raveh, Ora Schueler‐Furman, Dan Halperin, Nir Ben‐Tal	15
20	Prediction of transition metal‐binding sites from apo protein structures 2007 ·Proteins Structure Function and Bioinformatics ·Mariana Babor, (unknown), Barak Raveh, V. M. Sobolev, Marvin Edelman	103

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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