Daniel E. Dykhuizen

7.5k total citations
82 papers, 5.7k citations indexed

About

Daniel E. Dykhuizen is a scholar working on Genetics, Molecular Biology and Parasitology. According to data from OpenAlex, Daniel E. Dykhuizen has authored 82 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Genetics, 31 papers in Molecular Biology and 17 papers in Parasitology. Recurrent topics in Daniel E. Dykhuizen's work include Evolution and Genetic Dynamics (35 papers), Vector-borne infectious diseases (17 papers) and Bacterial Genetics and Biotechnology (15 papers). Daniel E. Dykhuizen is often cited by papers focused on Evolution and Genetic Dynamics (35 papers), Vector-borne infectious diseases (17 papers) and Bacterial Genetics and Biotechnology (15 papers). Daniel E. Dykhuizen collaborates with scholars based in United States, France and Australia. Daniel E. Dykhuizen's co-authors include Daniel L. Hartl, Antony M. Dean, Dustin Brisson, Evgeni V. Sokurenko, David S. Guttman, Benjamin J. Luft, Ing‐Nang Wang, Weigang Qiu, David L. Hasty and John J. Dunn and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Daniel E. Dykhuizen

81 papers receiving 5.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel E. Dykhuizen United States 38 2.2k 2.1k 1.6k 1.4k 926 82 5.7k
David M. Wagner United States 43 2.5k 1.1× 2.6k 1.2× 990 0.6× 813 0.6× 1.1k 1.1× 169 6.1k
B. Joseph Hinnebusch United States 46 3.9k 1.8× 2.4k 1.1× 2.1k 1.4× 631 0.5× 548 0.6× 101 5.6k
William E. Goldman United States 54 1.3k 0.6× 2.9k 1.4× 750 0.5× 1.8k 1.3× 466 0.5× 131 8.4k
Kit Tilly United States 43 1.1k 0.5× 3.1k 1.5× 3.2k 2.1× 2.1k 1.6× 473 0.5× 72 6.9k
Siv G. E. Andersson Sweden 50 2.0k 0.9× 5.8k 2.7× 1.6k 1.0× 826 0.6× 2.2k 2.4× 126 10.5k
Élisabeth Carniel France 48 6.0k 2.7× 3.8k 1.8× 1.4k 0.9× 919 0.7× 966 1.0× 167 8.6k
Christiane Bouchier France 55 1.1k 0.5× 2.9k 1.4× 533 0.3× 2.2k 1.6× 728 0.8× 168 8.9k
Petra C. F. Oyston United Kingdom 41 2.8k 1.3× 3.9k 1.8× 605 0.4× 1.1k 0.8× 941 1.0× 116 6.5k
Raphael H. Valdivia United States 41 1.4k 0.6× 4.0k 1.9× 446 0.3× 1.3k 1.0× 906 1.0× 97 9.0k
Richard W. Titball United Kingdom 60 4.7k 2.2× 6.1k 2.8× 1.3k 0.8× 3.8k 2.8× 1.3k 1.4× 237 12.5k

Countries citing papers authored by Daniel E. Dykhuizen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel E. Dykhuizen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel E. Dykhuizen

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel E. Dykhuizen. A scholar is included among the top collaborators of Daniel E. Dykhuizen 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 Daniel E. Dykhuizen. Daniel E. Dykhuizen 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.
Spagnolo, Fabrizio, Pierre Cristofari, Nicholas P. Tatonetti, Lev R. Ginzburg, & Daniel E. Dykhuizen. (2018). Pathogen population structure can explain hospital outbreaks. The ISME Journal. 12(12). 2835–2843. 3 indexed citations
2.
Warsi, Omar, Dan I. Andersson, & Daniel E. Dykhuizen. (2018). Different adaptive strategies in E. coli populations evolving under macronutrient limitation and metal ion limitation. BMC Evolutionary Biology. 18(1). 72–72. 14 indexed citations
3.
Dykhuizen, Daniel E.. (2016). Thoughts Toward a Theory of Natural Selection: The Importance of Microbial Experimental Evolution. Cold Spring Harbor Perspectives in Biology. 8(3). a018044–a018044. 7 indexed citations
4.
Gray, Sarah M., Daniel E. Dykhuizen, & Dianna K. Padilla. (2014). The effects of species properties and community context on establishment success. Oikos. 124(3). 355–363. 9 indexed citations
5.
Chattopadhyay, Sujay, Sandip Paul, Daniel E. Dykhuizen, & Evgeni V. Sokurenko. (2013). Tracking recent adaptive evolution in microbial species using TimeZone. Nature Protocols. 8(4). 652–665. 18 indexed citations
6.
Weissman, Scott J., James R. Johnson, Veronika Tchesnokova, et al.. (2012). High-Resolution Two-Locus Clonal Typing of Extraintestinal Pathogenic Escherichia coli. Applied and Environmental Microbiology. 78(5). 1353–1360. 143 indexed citations
7.
Stoebel, Daniel M., Antony M. Dean, & Daniel E. Dykhuizen. (2008). The Cost of Expression of Escherichia coli lac Operon Proteins Is in the Process, Not in the Products. Genetics. 178(3). 1653–1660. 163 indexed citations
8.
Brisson, Dustin, Daniel E. Dykhuizen, & Richard S. Ostfeld. (2007). Conspicuous impacts of inconspicuous hosts on the Lyme disease epidemic. Proceedings of the Royal Society B Biological Sciences. 275(1631). 227–235. 155 indexed citations
9.
Sokurenko, Evgeni V., Richard Gomulkiewicz, & Daniel E. Dykhuizen. (2006). Source–sink dynamics of virulence evolution. Nature Reviews Microbiology. 4(7). 548–555. 97 indexed citations
10.
Weissman, Scott J., Sujay Chattopadhyay, Pavel Aprikian, et al.. (2005). Clonal analysis reveals high rate of structural mutations in fimbrial adhesins of extraintestinal pathogenic Escherichia coli. Molecular Microbiology. 59(3). 975–988. 72 indexed citations
11.
Feldgarden, Michael, Daniel M. Stoebel, Dustin Brisson, & Daniel E. Dykhuizen. (2003). SIZE DOESN'T MATTER: MICROBIAL SELECTION EXPERIMENTS ADDRESS ECOLOGICAL PHENOMENA. Ecology. 84(7). 1679–1687. 10 indexed citations
12.
13.
Lunzer, Mark, Arvind Natarajan, Daniel E. Dykhuizen, & Antony M. Dean. (2002). Enzyme Kinetics, Substitutable Resources and Competition: From Biochemistry to Frequency-Dependent Selection in lac. Genetics. 162(1). 485–499. 34 indexed citations
14.
Seinost, Gerald, Daniel E. Dykhuizen, Raymond J. Dattwyler, et al.. (1999). Four Clones of Borrelia burgdorferi Sensu Stricto Cause Invasive Infection in Humans. Infection and Immunity. 67(7). 3518–3524. 229 indexed citations
15.
Guttman, David S. & Daniel E. Dykhuizen. (1994). Clonal Divergence in Escherichia coli as a Result of Recombination, Not Mutation. Science. 266(5189). 1380–1383. 305 indexed citations
16.
Dykhuizen, Daniel E.. (1993). [45] Chemostats used for studying natural selection and adaptive evolution. Methods in enzymology on CD-ROM/Methods in enzymology. 224. 613–631. 36 indexed citations
17.
Dykhuizen, Daniel E. & Antony M. Dean. (1990). Enzyme activity and fitness: Evolution in solution. Trends in Ecology & Evolution. 5(8). 257–262. 94 indexed citations
18.
Dykhuizen, Daniel E., Antony M. Dean, & Daniel L. Hartl. (1987). Metabolic Flux and Fitness. Genetics. 115(1). 25–31. 195 indexed citations
19.
Dean, Antony M., Daniel E. Dykhuizen, & Daniel L. Hartl. (1986). Fitness as a function of β-galactosidase activity inEscherichia coli. Genetics Research. 48(1). 1–8. 70 indexed citations
20.
Shizuya, Hiroaki & Daniel E. Dykhuizen. (1972). Conditional Lethality of Deletions Which Include uvrB in Strains of Escherichia coli Lacking Deoxyribonucleic Acid Polymerase I. Journal of Bacteriology. 112(2). 676–681. 20 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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