Edo Kussell

4.2k total citations · 1 hit paper
43 papers, 2.8k citations indexed

About

Edo Kussell is a scholar working on Molecular Biology, Genetics and Sociology and Political Science. According to data from OpenAlex, Edo Kussell has authored 43 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 26 papers in Genetics and 10 papers in Sociology and Political Science. Recurrent topics in Edo Kussell's work include Evolution and Genetic Dynamics (25 papers), Gene Regulatory Network Analysis (18 papers) and Evolutionary Game Theory and Cooperation (10 papers). Edo Kussell is often cited by papers focused on Evolution and Genetic Dynamics (25 papers), Gene Regulatory Network Analysis (18 papers) and Evolutionary Game Theory and Cooperation (10 papers). Edo Kussell collaborates with scholars based in United States, Japan and United Kingdom. Edo Kussell's co-authors include Stanislas Leibler, Nathalie Q. Balaban, Roy Kishony, Guillaume Lambert, Jun Shimada, Michele Vendruscolo, Eytan Domany, Eugene I. Shakhnovich, Yuichi Wakamoto and Wei-Hsiang Lin and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Edo Kussell

40 papers receiving 2.7k citations

Hit Papers

Phenotypic Diversity, Population Growth, and Information ... 2005 2026 2012 2019 2005 250 500 750
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. Phenotypic Diversity, Population Growth, and Information in Fluctuating Environments
    2005 954 citations Edo Kussell, Stanislas Leibler Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edo Kussell United States 22 1.9k 1.3k 361 289 267 43 2.8k
Antony M. Dean United States 35 3.0k 1.5× 2.0k 1.6× 567 1.6× 949 3.3× 438 1.6× 75 4.6k
Zhongge Zhang United States 22 3.3k 1.7× 1.9k 1.5× 109 0.3× 203 0.7× 529 2.0× 50 4.1k
Erdal Toprak United States 19 999 0.5× 766 0.6× 132 0.4× 94 0.3× 187 0.7× 39 2.2k
Tim F. Cooper United States 27 1.4k 0.7× 1.9k 1.5× 668 1.9× 33 0.1× 315 1.2× 50 2.6k
Guillaume Lambert United States 22 1.9k 1.0× 525 0.4× 146 0.4× 91 0.3× 220 0.8× 34 2.9k
Chikara Furusawa Japan 40 4.1k 2.1× 1.0k 0.8× 168 0.5× 117 0.4× 221 0.8× 162 5.2k
Zachary D. Blount United States 10 892 0.5× 1.0k 0.8× 377 1.0× 35 0.1× 286 1.1× 14 1.8k
Noam Shoresh United States 27 4.9k 2.5× 1.9k 1.5× 326 0.9× 110 0.4× 349 1.3× 46 7.5k
Adam Kuspa United States 40 3.0k 1.6× 1.2k 0.9× 261 0.7× 58 0.2× 377 1.4× 90 4.8k
Gürol M. Süel United States 25 3.1k 1.6× 1.1k 0.8× 105 0.3× 207 0.7× 405 1.5× 48 4.2k

Countries citing papers authored by Edo Kussell

Since Specialization
Citations

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

Fields of papers citing papers by Edo Kussell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edo Kussell

This figure shows the co-authorship network connecting the top 25 collaborators of Edo Kussell. A scholar is included among the top collaborators of Edo Kussell 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 Edo Kussell. Edo Kussell 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.
Steinberg, Asher Preska & Edo Kussell. (2025). How recombination and clonal evolution shape bacterial lineages and genomes. Genetics. 231(3).
2.
3.
Kussell, Edo, et al.. (2025). Evolutionary Advantage of Cell Size Control. Physical Review Letters. 134(11). 118401–118401.
4.
Kussell, Edo, et al.. (2024). Proteolytic stability and aggregation in a key metabolic enzyme of bacteria. Proceedings of the National Academy of Sciences. 121(19). e2301458121–e2301458121.
5.
Steinberg, Asher Preska, et al.. (2022). Core genes can have higher recombination rates than accessory genes within global microbial populations. eLife. 11. 20 indexed citations
6.
Okura, Reiko, et al.. (2022). A unified framework for measuring selection on cellular lineages and traits. eLife. 11. 3 indexed citations
7.
Lin, Wei-Hsiang, Edo Kussell, Lai-Sang Young, & Christine Jacobs‐Wagner. (2020). Origin of exponential growth in nonlinear reaction networks. Proceedings of the National Academy of Sciences. 117(45). 27795–27804. 13 indexed citations
8.
Kussell, Edo, et al.. (2019). Inferring bacterial recombination rates from large-scale sequencing datasets. Nature Methods. 16(2). 199–204. 54 indexed citations
9.
Kussell, Edo, et al.. (2017). Inferring fitness landscapes and selection on phenotypic states from single-cell genealogical data. PLoS Genetics. 13(3). e1006653–e1006653. 27 indexed citations
10.
Lin, Wei-Hsiang & Edo Kussell. (2016). Complex Interplay of Physiology and Selection in the Emergence of Antibiotic Resistance. Current Biology. 26(11). 1486–1493. 23 indexed citations
11.
Qian, Long, Reiko Okura, Tobias Bergmiller, et al.. (2016). Bacterial Autoimmunity Due to a Restriction-Modification System. Current Biology. 26(3). 404–409. 83 indexed citations
12.
Lambert, Guillaume & Edo Kussell. (2015). Quantifying Selective Pressures Driving Bacterial Evolution Using Lineage Analysis. Physical Review X. 5(1). 4–13. 31 indexed citations
13.
Kussell, Edo & Marija Vucelja. (2014). Non-equilibrium physics and evolution—adaptation, extinction, and ecology: a Key Issues review. Reports on Progress in Physics. 77(10). 102602–102602. 25 indexed citations
14.
Qian, Long & Edo Kussell. (2012). Evolutionary Dynamics of Restriction Site Avoidance. Physical Review Letters. 108(15). 158105–158105. 8 indexed citations
15.
Sood, Pranidhi, Robert J. Johnston, & Edo Kussell. (2012). Stochastic De-repression of Rhodopsins in Single Photoreceptors of the Fly Retina. PLoS Computational Biology. 8(2). e1002357–e1002357. 4 indexed citations
16.
Lin, Wei-Hsiang & Edo Kussell. (2011). Evolutionary pressures on simple sequence repeats in prokaryotic coding regions. Nucleic Acids Research. 40(6). 2399–2413. 53 indexed citations
17.
Kussell, Edo, Roy Kishony, Nathalie Q. Balaban, & Stanislas Leibler. (2005). Bacterial Persistence. Genetics. 169(4). 1807–1814. 413 indexed citations
18.
Kussell, Edo & Stanislas Leibler. (2005). Phenotypic Diversity, Population Growth, and Information in Fluctuating Environments. Science. 309(5743). 2075–2078. 954 indexed citations breakdown →
19.
Kussell, Edo, Jun Shimada, & Eugene I. Shakhnovich. (2003). Side‐chain dynamics and protein folding. Proteins Structure Function and Bioinformatics. 52(2). 303–321. 21 indexed citations
20.
Kussell, Edo, Jun Shimada, & Eugene I. Shakhnovich. (2001). Excluded volume in protein side-chain packing. Journal of Molecular Biology. 311(1). 183–193. 38 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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