Assaf Amitai

1.4k total citations
26 papers, 863 citations indexed

About

Assaf Amitai is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Assaf Amitai has authored 26 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Epidemiology. Recurrent topics in Assaf Amitai's work include Genomics and Chromatin Dynamics (12 papers), RNA Research and Splicing (8 papers) and Diffusion and Search Dynamics (7 papers). Assaf Amitai is often cited by papers focused on Genomics and Chromatin Dynamics (12 papers), RNA Research and Splicing (8 papers) and Diffusion and Search Dynamics (7 papers). Assaf Amitai collaborates with scholars based in United States, France and Switzerland. Assaf Amitai's co-authors include David Holcman, Andrew Seeber, Susan M. Gasser, Mehran Kardar, Anders S. Hansen, Xavier Darzacq, Claudia Cattoglio, Robert Tjian, M. Hauer and Arup K. Chakraborty and has published in prestigious journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Assaf Amitai

24 papers receiving 857 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Assaf Amitai United States 17 735 80 78 63 51 26 863
Victor Serebrov United States 8 658 0.9× 59 0.7× 37 0.5× 31 0.5× 33 0.6× 10 870
Xiubei Liao United States 21 1.1k 1.5× 183 2.3× 82 1.1× 84 1.3× 32 0.6× 32 1.3k
Patrice Rassam France 12 390 0.5× 260 3.3× 26 0.3× 38 0.6× 40 0.8× 15 636
Wing-Cheong Lo Hong Kong 13 405 0.6× 69 0.9× 38 0.5× 48 0.8× 23 0.5× 42 624
Pankaj Jha India 17 155 0.2× 83 1.0× 50 0.6× 57 0.9× 37 0.7× 38 699
Mikhail K. Levin United States 18 952 1.3× 195 2.4× 56 0.7× 167 2.7× 25 0.5× 30 1.3k
Nilah Monnier United States 11 527 0.7× 73 0.9× 37 0.5× 50 0.8× 154 3.0× 16 822
Javier A. Velázquez-Muriel United States 15 975 1.3× 101 1.3× 66 0.8× 34 0.5× 67 1.3× 18 1.4k
Sidhartha Goyal Canada 11 512 0.7× 210 2.6× 44 0.6× 22 0.3× 40 0.8× 21 641
Rhys Adams United States 10 652 0.9× 246 3.1× 34 0.4× 12 0.2× 63 1.2× 12 707

Countries citing papers authored by Assaf Amitai

Since Specialization
Citations

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

Fields of papers citing papers by Assaf Amitai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Assaf Amitai

This figure shows the co-authorship network connecting the top 25 collaborators of Assaf Amitai. A scholar is included among the top collaborators of Assaf Amitai 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 Assaf Amitai. Assaf Amitai 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.
Lu, Tianshi, Habib Hamidi, Mark A. Socinski, et al.. (2025). Non-small cell lung cancer molecular subtypes and vulnerability to immunotherapy treatment combinations. Nature Communications. 17(1). 122–122.
2.
Schmid, Christoph D., Vytautas Iešmantavičius, Andrew Seeber, et al.. (2021). Damage-induced chromatome dynamics link Ubiquitin ligase and proteasome recruitment to histone loss and efficient DNA repair. Molecular Cell. 81(4). 811–829.e6. 38 indexed citations
3.
Gao, Ang, Zhilin Chen, Assaf Amitai, et al.. (2021). Learning from HIV-1 to predict the immunogenicity of T cell epitopes in SARS-CoV-2. iScience. 24(4). 102311–102311. 8 indexed citations
4.
Amitai, Assaf, Jason D. Buenrostro, Aditi Chakrabarti, et al.. (2020). Advances in Chromatin and Chromosome Research: Perspectives from Multiple Fields. Molecular Cell. 79(6). 881–901. 38 indexed citations
5.
Amitai, Assaf, Maya Sangesland, Daniel Lingwood, & Arup Chakraborty. (2020). Influenza virus geometry shapes the immune response against it. Bulletin of the American Physical Society.
6.
Seeber, Andrew, Kenji Shimada, Haruka Yoshida, et al.. (2020). DNA Damage-Induced Nucleosome Depletion Enhances Homology Search Independently of Local Break Movement. Molecular Cell. 80(2). 311–326.e4. 43 indexed citations
7.
Amitai, Assaf, Maya Sangesland, Ralston M. Barnes, et al.. (2020). Defining and Manipulating B Cell Immunodominance Hierarchies to Elicit Broadly Neutralizing Antibody Responses against Influenza Virus. Cell Systems. 11(6). 573–588.e9. 38 indexed citations
8.
Hansen, Anders S., Assaf Amitai, Claudia Cattoglio, Robert Tjian, & Xavier Darzacq. (2019). Guided nuclear exploration increases CTCF target search efficiency. Nature Chemical Biology. 16(3). 257–266. 103 indexed citations
9.
Seeber, Andrew, et al.. (2019). Advances Using Single-Particle Trajectories to Reconstruct Chromatin Organization and Dynamics. Trends in Genetics. 35(9). 685–705. 28 indexed citations
10.
Amitai, Assaf, Arup K. Chakraborty, & Mehran Kardar. (2018). The low spike density of HIV may have evolved because of the effects of T helper cell depletion on affinity maturation. PLoS Computational Biology. 14(8). e1006408–e1006408. 20 indexed citations
11.
Amitai, Assaf & David Holcman. (2018). Encounter times of chromatin loci influenced by polymer decondensation. Physical review. E. 97(3). 32417–32417. 10 indexed citations
12.
Amitai, Assaf, Luka Mesin, Gabriel D. Victora, Mehran Kardar, & Arup K. Chakraborty. (2017). A Population Dynamics Model for Clonal Diversity in a Germinal Center. Frontiers in Microbiology. 8. 1693–1693. 28 indexed citations
13.
Amitai, Assaf, Andrew Seeber, Susan M. Gasser, & David Holcman. (2017). Visualization of Chromatin Decompaction and Break Site Extrusion as Predicted by Statistical Polymer Modeling of Single-Locus Trajectories. Cell Reports. 18(5). 1200–1214. 74 indexed citations
14.
Hauer, M., Andrew Seeber, Vijender Singh, et al.. (2017). Histone degradation in response to DNA damage enhances chromatin dynamics and recombination rates. Nature Structural & Molecular Biology. 24(2). 99–107. 185 indexed citations
15.
Tiana, Guido, Assaf Amitai, Tim Pollex, et al.. (2016). Structural Fluctuations of the Chromatin Fiber within Topologically Associating Domains. Biophysical Journal. 110(6). 1234–1245. 41 indexed citations
16.
Amitai, Assaf, et al.. (2015). Analysis of Single Locus Trajectories for Extracting In Vivo Chromatin Tethering Interactions. PLoS Computational Biology. 11(8). e1004433–e1004433. 27 indexed citations
17.
Amitai, Assaf & David Holcman. (2013). Polymer model with long-range interactions: Analysis and applications to the chromatin structure. Physical Review E. 88(5). 52604–52604. 37 indexed citations
18.
Amitai, Assaf & David Holcman. (2013). Diffusing Polymers in Confined Microdomains and Estimation of Chromosomal Territory Sizes from Chromosome Capture Data. Physical Review Letters. 110(24). 248105–248105. 25 indexed citations
19.
Amitai, Assaf, Ivan Kupka, & David Holcman. (2012). Computation of the Mean First-Encounter Time Between the Ends of a Polymer Chain. Physical Review Letters. 109(10). 108302–108302. 35 indexed citations
20.
Amitai, Assaf, Yacov Kantor, & Mehran Kardar. (2010). First-passage distributions in a collective model of anomalous diffusion with tunable exponent. Physical Review E. 81(1). 11107–11107. 31 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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