Rotem Rubinstein

2.0k total citations · 1 hit paper
22 papers, 1.4k citations indexed

About

Rotem Rubinstein is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Rotem Rubinstein has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 6 papers in Immunology. Recurrent topics in Rotem Rubinstein's work include Axon Guidance and Neuronal Signaling (7 papers), Wnt/β-catenin signaling in development and cancer (7 papers) and Immune Cell Function and Interaction (4 papers). Rotem Rubinstein is often cited by papers focused on Axon Guidance and Neuronal Signaling (7 papers), Wnt/β-catenin signaling in development and cancer (7 papers) and Immune Cell Function and Interaction (4 papers). Rotem Rubinstein collaborates with scholars based in United States, Israel and United Kingdom. Rotem Rubinstein's co-authors include András Fiser, Barry Honig, Lawrence Shapiro, Tom Maniatis, S.C. Almo, Roy A. Fava, Li‐Fan Lu, David Gondek, Li Wang and Yan Wang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Rotem Rubinstein

20 papers receiving 1.4k citations

Hit Papers

VISTA, a novel mouse Ig s... 2011 2026 2016 2021 2011 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Rotem Rubinstein 575 569 448 242 167 22 1.4k
May M. Paing 858 1.5× 244 0.4× 94 0.2× 281 1.2× 401 2.4× 18 1.4k
Masaharu Kotani 902 1.6× 276 0.5× 102 0.2× 205 0.8× 325 1.9× 59 1.6k
Matthew J. Hannah 611 1.1× 287 0.5× 42 0.1× 151 0.6× 470 2.8× 26 1.3k
Zhi-jie Jey Cheng 987 1.7× 371 0.7× 400 0.9× 455 1.9× 281 1.7× 29 1.5k
Quintus G. Medley 934 1.6× 682 1.2× 209 0.5× 223 0.9× 537 3.2× 25 1.9k
Sandra Ruf 1.1k 2.0× 354 0.6× 113 0.3× 40 0.2× 134 0.8× 20 1.8k
Yarden Opatowsky 762 1.3× 190 0.3× 139 0.3× 303 1.3× 189 1.1× 27 1.2k
B H Chao 723 1.3× 76 0.1× 74 0.2× 627 2.6× 50 0.3× 17 1.4k
Ashok Pullikuth 812 1.4× 354 0.6× 486 1.1× 222 0.9× 168 1.0× 40 1.6k
Mark A.J. Gorris 686 1.2× 761 1.3× 734 1.6× 246 1.0× 28 0.2× 55 1.7k

Countries citing papers authored by Rotem Rubinstein

Since Specialization
Citations

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

Fields of papers citing papers by Rotem Rubinstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rotem Rubinstein

This figure shows the co-authorship network connecting the top 25 collaborators of Rotem Rubinstein. A scholar is included among the top collaborators of Rotem Rubinstein 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 Rotem Rubinstein. Rotem Rubinstein 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.
Lévy, Rachel, et al.. (2025). On the same side: VISTA and its ligands interact in cis on the cell surface. Protein Science. 35(1). e70415–e70415.
2.
Sarig, Ofer, Moshe Giladi, Rotem Rubinstein, et al.. (2025). Pathogenic variants affecting peptidyl arginine deiminase 3 and its major substrates underlie central centrifugal cicatricial alopecia. Journal of Investigative Dermatology.
3.
Rubinstein, Rotem, et al.. (2024). Following the Evolutionary Paths of Dscam1 Proteins toward Highly Specific Homophilic Interactions. Molecular Biology and Evolution. 41(7). 1 indexed citations
4.
Rubinstein, Rotem, et al.. (2024). Clustered protocadherin cis -interactions are required for combinatorial cell–cell recognition underlying neuronal self-avoidance. Proceedings of the National Academy of Sciences. 121(29). e2319829121–e2319829121. 6 indexed citations
5.
Goodman, K.M., Phinikoula S. Katsamba, Rotem Rubinstein, et al.. (2022). How clustered protocadherin binding specificity is tuned for neuronal self-/nonself-recognition. eLife. 11. 20 indexed citations
6.
Shapiro, Lawrence, et al.. (2022). On the formation of ordered protein assemblies in cell–cell interfaces. Proceedings of the National Academy of Sciences. 119(34). e2206175119–e2206175119. 7 indexed citations
7.
Li, Guo, Hao Li, Bingbing Xu, et al.. (2020). Chelicerata sDscam isoforms combine homophilic specificities to define unique cell recognition. Proceedings of the National Academy of Sciences. 117(40). 24813–24824. 6 indexed citations
8.
Qiu, Xufeng, Micah Rapp, Xiaoping Liang, et al.. (2018). Mechanotransduction by PCDH15 Relies on a Novel cis-Dimeric Architecture. Neuron. 99(3). 480–492.e5. 31 indexed citations
9.
Rubinstein, Rotem, K.M. Goodman, Tom Maniatis, Lawrence Shapiro, & Barry Honig. (2017). Structural origins of clustered protocadherin-mediated neuronal barcoding. Seminars in Cell and Developmental Biology. 69. 140–150. 33 indexed citations
10.
Goodman, K.M., Rotem Rubinstein, Hanbin Dan, et al.. (2017). Protocadherin cis -dimer architecture and recognition unit diversity. Proceedings of the National Academy of Sciences. 114(46). E9829–E9837. 46 indexed citations
11.
Samanta, Dibyendu, et al.. (2016). Structural, mutational and biophysical studies reveal a canonical mode of molecular recognition between immune receptor TIGIT and nectin-2. Molecular Immunology. 81. 151–159. 19 indexed citations
12.
Goodman, K.M., Rotem Rubinstein, Chan Aye Thu, et al.. (2016). Structural Basis of Diverse Homophilic Recognition by Clustered α- and β-Protocadherins. Neuron. 90(4). 709–723. 76 indexed citations
13.
Goodman, K.M., Rotem Rubinstein, Chan Aye Thu, et al.. (2016). γ-Protocadherin structural diversity and functional implications. eLife. 5. 48 indexed citations
14.
Rubinstein, Rotem, Chan Aye Thu, K.M. Goodman, et al.. (2015). Molecular Logic of Neuronal Self-Recognition through Protocadherin Domain Interactions. Cell. 163(3). 629–642. 122 indexed citations
15.
Thu, Chan Aye, Weisheng V. Chen, Rotem Rubinstein, et al.. (2014). Single-Cell Identity Generated by Combinatorial Homophilic Interactions between α, β, and γ Protocadherins. Cell. 158(5). 1045–1059. 160 indexed citations
16.
Rubinstein, Rotem, U.A. Ramagopal, Stanley G. Nathenson, Steven C. Almo, & András Fiser. (2013). Functional Classification of Immune Regulatory Proteins. Structure. 21(5). 766–776. 21 indexed citations
17.
Wang, Li, Rotem Rubinstein, J. Louise Lines, et al.. (2011). VISTA, a novel mouse Ig superfamily ligand that negatively regulates T cell responses. The Journal of Experimental Medicine. 208(3). 577–592. 558 indexed citations breakdown →
18.
Rubinstein, Rotem & András Fiser. (2008). Predicting disulfide bond connectivity in proteins by correlated mutations analysis. Bioinformatics. 24(4). 498–504. 37 indexed citations
19.
Grines, Cindy L., Paolo Esente, Debra Hoppensteadt, et al.. (2001). Enoxaparin and abciximab adjunctive pharmacotherapy during percutaneous coronary intervention.. PubMed. 13(4). 272–8. 105 indexed citations
20.
Rubinstein, Arye, Theresa Calvelli, & Rotem Rubinstein. (1993). Intravenous Gammaglobulin for Pediatric HIV‐1 Infection: Effects on Infectious Complications, Circulating Immune Complexes, and CD4 Cell Decline. Annals of the New York Academy of Sciences. 693(1). 151–157. 3 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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