Edo Kussell

4.2k citations
43 papers · 2.8k indexed · 1 hit paper · h-index 22
Topics
Evolution and Genetic Dynamics (25 papers)Gene Regulatory Network Analysis (18 papers)Evolutionary Game Theory and Cooperation (10 papers)

In The Last Decade

Edo Kussell

40 papers receiving 2.7k citations

Hit Papers

Phenotypic Diversity, Population Growth, and Information ...20052026201220192005250500750

Peers

Edo Kussell
Comparison fields: 5 of 135
  • Molecular Biology 1.9k
  • Genetics 1.3k
  • Sociology and Political Science 361
  • Materials Chemistry 289
  • Ecology 267
Replace Avigdor Eldar with:
Avigdor Eldar Israel
Chikara Furusawa Japan
Gürol M. Süel United States
Zhongge Zhang United States
Sandeep Krishna India
Gábor Balázsi United States
Jack Merrin Austria
Ulrich Gerland Germany
Guillaume Lambert United States
Anat Bren Israel
Edo Kussell relative to Avigdor Eldar Israel Avigdor Eldar's profile →
Citations per field
00.5×5.2×
Avigdor Eldar · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 2
3 0
4 0
5 20
6 3
7 13
8 54
9 27
10 23
11 83
12 31
13 25
14 8
15 4
16 53
17 413
18
Phenotypic Diversity, Population Growth, and Information in Fluctuating Environmentsbreakdown →
954
19 21
20 38

About Edo Kussell

Edo Kussell is a scholar working on Genetics, Endocrinology and Molecular Biology, having authored 43 papers that have together received 2.8k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (25 papers), Gene Regulatory Network Analysis (18 papers) and Evolutionary Game Theory and Cooperation (10 papers). The work is most often cited by research in Genetics (1.3k citations), Molecular Biology (1.9k citations) and Molecular Medicine (128 citations). Edo Kussell has collaborated with scholars based in United States, Japan and United Kingdom. Frequent 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. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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