Michael Lässig

6.3k citations
87 papers · 3.6k · h-index 34

Impact in

Papers in

    • Gene Regulatory Network Analysis 12
    • Bioinformatics and Genomic Networks 9
    • Genomics and Phylogenetic Studies 9
    • RNA and protein synthesis mechanisms 8
    • Evolution and Genetic Dynamics 34

Michael Lässig

87 papers receiving 3.5k citations

Peers

Michael Lässig
Comparison fields: 5 of 128
  • Genetics 1.3k
  • Condensed Matter Physics 427
  • Modeling and Simulation 133
  • Statistical and Nonlinear Physics 351
  • Mathematical Physics 250
Replace Susanna C. Manrubia with:
Susanna C. Manrubia Spain
Oskar Hallatschek United States
Stephen J. Cornell United Kingdom
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Mark Goulian United States
Tom Chou United States
John L. Spouge United States
Alan J. McKane United Kingdom
F. Christiansen Denmark
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Citations per field
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Citations per year

Countries citing papers authored by Michael Lässig

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lässig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Lässig, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Lässig Line = papers co-authored together Michael Lässig links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014280
2 2017198
3 2004165
4 2009161
5 2004155
6 2004150
7 2019130
8 2012118
9 2006108
10 2002103
11 2010100
12 199199
13 200591
14 201787
15 200884
16 200780
17 201176
18 199772
19 200567
20 199565

About Michael Lässig

Michael Lässig is a scholar working on Molecular Biology, Genetics, Condensed Matter Physics, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 87 papers that have together received 3.6k indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (34 papers), Theoretical and Computational Physics (18 papers), Evolutionary Game Theory and Cooperation (16 papers), Gene Regulatory Network Analysis (12 papers), Mathematical and Theoretical Epidemiology and Ecology Models (11 papers), Bioinformatics and Genomic Networks (9 papers), Genomics and Phylogenetic Studies (9 papers) and RNA and protein synthesis mechanisms (8 papers). The work is most often cited by research in Genetics (1.3k citations), Condensed Matter Physics (427 citations), Modeling and Simulation (133 citations), Statistical and Nonlinear Physics (351 citations) and Mathematical Physics (250 citations). Michael Lässig has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Ville Mustonen, Johannes Berg, Marta Łuksza, Aleksandra M. Walczak, Natalja Strelkowa, Andreas Wagner, Harald Kinzelbach, Giuseppe Mussardo, Terence Hwa and Angelo Valleriani. Their work appears in journals such as Physical Review Letters, Proceedings of the National Academy of Sciences, Nuclear Physics B, Genetics and Journal of Theoretical Biology.

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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