Yaron E. Antebi

2.0k total citations
25 papers, 1.3k citations indexed

About

Yaron E. Antebi is a scholar working on Molecular Biology, Immunology and Nuclear and High Energy Physics. According to data from OpenAlex, Yaron E. Antebi has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Nuclear and High Energy Physics. Recurrent topics in Yaron E. Antebi's work include Gene Regulatory Network Analysis (8 papers), Single-cell and spatial transcriptomics (6 papers) and T-cell and B-cell Immunology (6 papers). Yaron E. Antebi is often cited by papers focused on Gene Regulatory Network Analysis (8 papers), Single-cell and spatial transcriptomics (6 papers) and T-cell and B-cell Immunology (6 papers). Yaron E. Antebi collaborates with scholars based in Israel, United States and Austria. Yaron E. Antebi's co-authors include Michael B. Elowitz, Mitsuo Oshimura, Narumi Uno, Lacramioara Bintu, Kayla McCue, John Yong, Yasuhiro Kazuki, James M. Linton, Changhuei Yang and Seung Ah Lee and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Yaron E. Antebi

23 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaron E. Antebi Israel 16 777 189 164 155 115 25 1.3k
Robert A. Hoffman United States 22 648 0.8× 159 0.8× 274 1.7× 229 1.5× 22 0.2× 60 1.2k
Clive Standley United States 18 983 1.3× 90 0.5× 48 0.3× 69 0.4× 25 0.2× 32 1.4k
Sahand Hormoz United States 16 796 1.0× 73 0.4× 103 0.6× 146 0.9× 172 1.5× 35 1.5k
Miho Shimada Japan 26 1.3k 1.7× 134 0.7× 273 1.7× 83 0.5× 169 1.5× 102 2.3k
Ran Kafri United States 17 2.2k 2.9× 99 0.5× 235 1.4× 163 1.1× 62 0.5× 26 3.0k
Miklós Erdélyi Hungary 23 854 1.1× 70 0.4× 285 1.7× 319 2.1× 185 1.6× 82 1.8k
Jianhua Xing United States 25 1.4k 1.8× 162 0.9× 284 1.7× 179 1.2× 390 3.4× 66 2.6k
Benedikt Obermayer Germany 17 1.6k 2.0× 135 0.7× 71 0.4× 59 0.4× 56 0.5× 53 2.0k
Pier Alberto Benedetti Italy 19 418 0.5× 64 0.3× 97 0.6× 110 0.7× 70 0.6× 44 1.2k
Kazuhiro Maeshima Japan 41 5.3k 6.8× 106 0.6× 110 0.7× 279 1.8× 137 1.2× 89 6.1k

Countries citing papers authored by Yaron E. Antebi

Since Specialization
Citations

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

Fields of papers citing papers by Yaron E. Antebi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yaron E. Antebi. 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 Yaron E. Antebi. The network helps show where Yaron E. Antebi may publish in the future.

Co-authorship network of co-authors of Yaron E. Antebi

This figure shows the co-authorship network connecting the top 25 collaborators of Yaron E. Antebi. A scholar is included among the top collaborators of Yaron E. Antebi 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 Yaron E. Antebi. Yaron E. Antebi 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.
Antebi, Yaron E., et al.. (2025). Receptor dimerization enables ligand discrimination through tunable response heterogeneity. PLoS Computational Biology. 21(12). e1013781–e1013781.
2.
Reich-Zeliger, Shlomit, et al.. (2025). Independent and temporally separated dynamics for RORγt and Foxp3 during Th17 differentiation. Frontiers in Immunology. 16. 1462045–1462045. 1 indexed citations
3.
Shachar, Ran, Ronit Nir, Miguel Angel García-Campos, et al.. (2024). Passive shaping of intra- and intercellular m6A dynamics via mRNA metabolism. eLife. 13.
4.
Antebi, Yaron E., et al.. (2024). EasyFlow: An open-source, user-friendly cytometry analyzer with graphic user interface (GUI). PLoS ONE. 19(11). e0308873–e0308873. 1 indexed citations
5.
Klumpe, Heidi E., Jordi García‐Ojalvo, Michael B. Elowitz, & Yaron E. Antebi. (2023). The computational capabilities of many-to-many protein interaction networks. Cell Systems. 14(6). 430–446. 22 indexed citations
6.
Su, Christina J., Arvind Murugan, James M. Linton, et al.. (2022). Ligand-receptor promiscuity enables cellular addressing. Cell Systems. 13(5). 408–425.e12. 43 indexed citations
7.
Uzonyi, Anna, Ronit Nir, Noam Stern‐Ginossar, et al.. (2021). Deciphering the principles of the RNA editing code via large-scale systematic probing. Molecular Cell. 81(11). 2374–2387.e3. 29 indexed citations
8.
Wiener, David, Yaron E. Antebi, & Schraga Schwartz. (2021). Decoupling of degradation from deadenylation reshapes poly(A) tail length in yeast meiosis. Nature Structural & Molecular Biology. 28(12). 1038–1049. 8 indexed citations
9.
Antebi, Yaron E., Nagarajan Nandagopal, & Michael B. Elowitz. (2017). An operational view of intercellular signaling pathways. Current Opinion in Systems Biology. 1. 16–24. 46 indexed citations
10.
Antebi, Yaron E., James M. Linton, Heidi E. Klumpe, et al.. (2017). Combinatorial Signal Perception in the BMP Pathway. Cell. 170(6). 1184–1196.e24. 181 indexed citations
11.
Bintu, Lacramioara, John Yong, Yaron E. Antebi, et al.. (2016). Dynamics of epigenetic regulation at the single-cell level. Science. 351(6274). 720–724. 305 indexed citations
12.
Hormoz, Sahand, Zakary S. Singer, James M. Linton, et al.. (2016). Inferring Cell-State Transition Dynamics from Lineage Trees and Endpoint Single-Cell Measurements. Cell Systems. 3(5). 419–433.e8. 60 indexed citations
13.
Hart, Yuval, Shlomit Reich-Zeliger, Yaron E. Antebi, et al.. (2014). Paradoxical Signaling by a Secreted Molecule Leads to Homeostasis of Cell Levels. Cell. 158(5). 1022–1032. 72 indexed citations
14.
Antebi, Yaron E., Shlomit Reich-Zeliger, Yuval Hart, et al.. (2013). Mapping Differentiation under Mixed Culture Conditions Reveals a Tunable Continuum of T Cell Fates. PLoS Biology. 11(7). e1001616–e1001616. 77 indexed citations
15.
Savir, Yonatan, et al.. (2012). Balancing speed and accuracy of polyclonal T cell activation: a role for extracellular feedback. BMC Systems Biology. 6(1). 111–111. 12 indexed citations
16.
Zaretsky, Irina, Michal Polonsky, Eric Shifrut, et al.. (2012). Monitoring the dynamics of primary T cell activation and differentiation using long term live cell imaging in microwell arrays. Lab on a Chip. 12(23). 5007–5007. 66 indexed citations
17.
Hart, Yuval, Yaron E. Antebi, Avi Mayo, Nir Friedman, & Uri Alon. (2012). Design principles of cell circuits with paradoxical components. Proceedings of the National Academy of Sciences. 109(21). 8346–8351. 64 indexed citations
18.
Aharony, Ofer, Yaron E. Antebi, & Micha Berkooz. (2008). On the conformal field theory duals of type IIAAdS4flux compactifications. Journal of High Energy Physics. 2008(2). 93–93. 21 indexed citations
19.
Antebi, Yaron E. & Tomer Volansky. (2008). Dynamical supersymmetry breaking from simple quivers. Physical review. D. Particles, fields, gravitation, and cosmology. 77(2). 2 indexed citations
20.
Aharony, Ofer, Yaron E. Antebi, & Micha Berkooz. (2005). Open string moduli in Kachru-Kallosh-Linde-Trivedi compactifications. Physical review. D. Particles, fields, gravitation, and cosmology. 72(10). 24 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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