Moran Shalev-Benami

1.6k total citations · 1 hit paper
14 papers, 834 citations indexed

About

Moran Shalev-Benami is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Moran Shalev-Benami has authored 14 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Organic Chemistry. Recurrent topics in Moran Shalev-Benami's work include RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (5 papers) and Receptor Mechanisms and Signaling (4 papers). Moran Shalev-Benami is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), RNA modifications and cancer (5 papers) and Receptor Mechanisms and Signaling (4 papers). Moran Shalev-Benami collaborates with scholars based in Israel, United States and United Kingdom. Moran Shalev-Benami's co-authors include Georgios Skiniotis, Michael J. Robertson, Donna Matzov, Hongli Hu, Samuel D. Banister, Naomi R. Latorraca, David Farrens, Shoji Maeda, Kaavya Krishna Kumar and Scott A. Hollingsworth and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Moran Shalev-Benami

14 papers receiving 827 citations

Hit Papers

Structure of a Signaling ... 2019 2026 2021 2023 2019 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Structure of a Signaling Cannabinoid Receptor 1-G Protein Complex
    2019 318 citations Kaavya Krishna Kumar, Moran Shalev-Benami et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moran Shalev-Benami Israel 11 607 259 163 59 53 14 834
Kaavya Krishna Kumar United States 14 689 1.1× 394 1.5× 188 1.2× 10 0.2× 33 0.6× 21 991
Sandip Basak United States 12 569 0.9× 181 0.7× 33 0.2× 23 0.4× 37 0.7× 30 722
Alexander Myasnikov United States 18 1.1k 1.9× 97 0.4× 23 0.1× 35 0.6× 60 1.1× 24 1.5k
Dimple Karia United Kingdom 12 614 1.0× 292 1.1× 36 0.2× 148 2.5× 10 0.2× 17 1.0k
Thorsten Althoff United States 9 881 1.5× 250 1.0× 22 0.1× 15 0.3× 32 0.6× 13 1.1k
Chunyou Mao China 16 699 1.2× 362 1.4× 40 0.2× 40 0.7× 50 0.9× 26 927
Antoine Koehl United States 12 1.3k 2.1× 655 2.5× 82 0.5× 12 0.2× 44 0.8× 15 1.5k
Anton O. Chugunov Russia 20 878 1.4× 136 0.5× 41 0.3× 16 0.3× 22 0.4× 54 1.1k
Jeffrey Tarrasch United States 10 1.6k 2.6× 769 3.0× 188 1.2× 49 0.8× 42 0.8× 11 2.0k
Ximena Barros-Álvarez United States 12 385 0.6× 158 0.6× 20 0.1× 79 1.3× 19 0.4× 15 510

Countries citing papers authored by Moran Shalev-Benami

Since Specialization
Citations

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

Fields of papers citing papers by Moran Shalev-Benami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moran Shalev-Benami. 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 Moran Shalev-Benami. The network helps show where Moran Shalev-Benami may publish in the future.

Co-authorship network of co-authors of Moran Shalev-Benami

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

All Works

14 of 14 papers shown
1.
Matzov, Donna, Liel Sapir, Harald Hübner, et al.. (2024). A bitter anti-inflammatory drug binds at two distinct sites of a human bitter taste GPCR. Nature Communications. 15(1). 9991–9991. 10 indexed citations
2.
Shalev-Benami, Moran, Ana Victoria Ibarra‐Meneses, Ada Yonath, et al.. (2023). Systematic Exploration of Functional Group Relevance for Anti-Leishmanial Activity of Anisomycin. Biomedicines. 11(9). 2541–2541. 1 indexed citations
3.
Weichert, Dietmar, Chia‐Ying Huang, Coilín Boland, et al.. (2023). Structure snapshots reveal the mechanism of a bacterial membrane lipoprotein N -acyltransferase. Science Advances. 9(26). eadf5799–eadf5799. 4 indexed citations
4.
Barros-Álvarez, Ximena, Robert M. Nwokonko, Alexander Vizurraga, et al.. (2022). The tethered peptide activation mechanism of adhesion GPCRs. Nature. 604(7907). 757–762. 85 indexed citations
5.
Israeli, Hadar, Joaquín Botta, Vadivel Prabahar, et al.. (2021). Structure reveals the activation mechanism of the MC4 receptor to initiate satiation signaling. Science. 372(6544). 808–814. 62 indexed citations
6.
Rajan, K. Shanmugha, Katerina Adler, Tirza Doniger, et al.. (2020). The large repertoire of 2’-O-methylation guided by C/D snoRNAs on Trypanosoma brucei rRNA. RNA Biology. 17(7). 1018–1039. 23 indexed citations
7.
Matzov, Donna, Masato Taoka, Yuko Nobe, et al.. (2020). Cryo-EM structure of the highly atypical cytoplasmic ribosome of Euglena gracilis. Nucleic Acids Research. 48(20). 11750–11761. 17 indexed citations
8.
Kumar, Kaavya Krishna, Moran Shalev-Benami, Michael J. Robertson, et al.. (2019). Structure of a Signaling Cannabinoid Receptor 1-G Protein Complex. Cell. 176(3). 448–458.e12. 318 indexed citations breakdown →
9.
Nakayama, Hiroshi, Yoshio Yamauchi, Yuko Nobe, et al.. (2019). Method for Direct Mass-Spectrometry-Based Identification of Monomethylated RNA Nucleoside Positional Isomers and Its Application to the Analysis of Leishmania rRNA. Analytical Chemistry. 91(24). 15634–15643. 23 indexed citations
10.
Li, Jingxian, Moran Shalev-Benami, Richard Sando, et al.. (2018). Structural Basis for Teneurin Function in Circuit-Wiring: A Toxin Motif at the Synapse. Cell. 173(3). 735–748.e15. 100 indexed citations
11.
Rajan, K. Shanmugha, Moran Shalev-Benami, Smadar Cohen‐Chalamish, et al.. (2018). Small nucleolar RNAs controlling rRNA processing in Trypanosoma brucei. Nucleic Acids Research. 47(5). 2609–2629. 19 indexed citations
12.
Matzov, Donna, Zohar Eyal, Raphael I. Benhamou, et al.. (2017). Structural insights of lincosamides targeting the ribosome of Staphylococcus aureus. Nucleic Acids Research. 45(17). 10284–10292. 45 indexed citations
13.
Shalev-Benami, Moran, Yan Zhang, H. Rozenberg, et al.. (2017). Atomic resolution snapshot of Leishmania ribosome inhibition by the aminoglycoside paromomycin. Nature Communications. 8(1). 1589–1589. 71 indexed citations
14.
Shalev-Benami, Moran, Yan Zhang, Donna Matzov, et al.. (2016). 2.8-Å Cryo-EM Structure of the Large Ribosomal Subunit from the Eukaryotic Parasite Leishmania. Cell Reports. 16(2). 288–294. 56 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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