Jennifer L. Knies

900 total citations
11 papers, 607 citations indexed

About

Jennifer L. Knies is a scholar working on Genetics, Ecology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Jennifer L. Knies has authored 11 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Ecology and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Jennifer L. Knies's work include Evolution and Genetic Dynamics (5 papers), Physiological and biochemical adaptations (3 papers) and Insect and Arachnid Ecology and Behavior (3 papers). Jennifer L. Knies is often cited by papers focused on Evolution and Genetic Dynamics (5 papers), Physiological and biochemical adaptations (3 papers) and Insect and Arachnid Ecology and Behavior (3 papers). Jennifer L. Knies collaborates with scholars based in United States, United Kingdom and Canada. Jennifer L. Knies's co-authors include Joel G. Kingsolver, Christina L. Burch, Hsin‐Sheng Yang, Nancy H. Colburn, Daniel Weinreich, Anthony I. Dell, Van M. Savage, Samraat Pawar, Rima Izem and Véronique A. Delesalle and has published in prestigious journals such as Oncogene, The American Naturalist and Evolution.

In The Last Decade

Jennifer L. Knies

11 papers receiving 603 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer L. Knies United States 10 250 211 189 128 62 11 607
Andrew E. Webb United Kingdom 16 310 1.2× 182 0.9× 139 0.7× 70 0.5× 131 2.1× 29 628
Miguel Camacho‐Sanchez Spain 12 201 0.8× 157 0.7× 129 0.7× 56 0.4× 64 1.0× 25 464
Victoria Svinti United Kingdom 9 81 0.3× 224 1.1× 182 1.0× 146 1.1× 113 1.8× 17 688
Arne Jacobs United Kingdom 17 203 0.8× 287 1.4× 354 1.9× 83 0.6× 95 1.5× 29 826
Brian K. Lohman United States 13 147 0.6× 191 0.9× 204 1.1× 68 0.5× 33 0.5× 18 623
Lynne Mullen United States 10 117 0.5× 133 0.6× 230 1.2× 155 1.2× 24 0.4× 13 514
Rongjiang Wang China 13 183 0.7× 185 0.9× 141 0.7× 144 1.1× 14 0.2× 49 526
Kai Song China 14 146 0.6× 184 0.9× 109 0.6× 59 0.5× 228 3.7× 38 639
Gary Cobbs United States 17 250 1.0× 95 0.5× 212 1.1× 187 1.5× 96 1.5× 39 699
Alexandra Cieslak Spain 13 138 0.6× 106 0.5× 154 0.8× 192 1.5× 91 1.5× 23 569

Countries citing papers authored by Jennifer L. Knies

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer L. Knies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer L. Knies. 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 Jennifer L. Knies. The network helps show where Jennifer L. Knies may publish in the future.

Co-authorship network of co-authors of Jennifer L. Knies

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer L. Knies. A scholar is included among the top collaborators of Jennifer L. Knies 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 Jennifer L. Knies. Jennifer L. Knies is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Kingsolver, Joel G. & Jennifer L. Knies. (2020). Erroneous Arrhenius: Modified Arrhenius Model Best Explains the Temperature Dependence of Ectotherm Fitness. UNC Libraries. 1 indexed citations
2.
Knies, Jennifer L., et al.. (2017). Enzyme efficiency but not thermostability drives cefotaxime resistance evolution in TEM-1 β-lactamase. Molecular Biology and Evolution. 34(5). msx053–msx053. 39 indexed citations
3.
Pawar, Samraat, Anthony I. Dell, Van M. Savage, & Jennifer L. Knies. (2016). Real versus Artificial Variation in the Thermal Sensitivity of Biological Traits. The American Naturalist. 187(2). E41–E52. 69 indexed citations
4.
Kingsolver, Joel G., Nancy Heckman, Jonathan Zhang, et al.. (2015). Genetic Variation, Simplicity, and Evolutionary Constraints for Function-Valued Traits. The American Naturalist. 185(6). E166–E181. 12 indexed citations
6.
Knies, Jennifer L. & Joel G. Kingsolver. (2010). Erroneous Arrhenius: Modified Arrhenius Model Best Explains the Temperature Dependence of Ectotherm Fitness. The American Naturalist. 176(2). 227–233. 87 indexed citations
7.
Knies, Jennifer L., Joel G. Kingsolver, & Christina L. Burch. (2009). Hotter Is Better and Broader: Thermal Sensitivity of Fitness in a Population of Bacteriophages. The American Naturalist. 173(4). 419–430. 109 indexed citations
8.
Knies, Jennifer L., Kristen K. Dang, Todd Vision, et al.. (2008). Compensatory Evolution in RNA Secondary Structures Increases Substitution Rate Variation among Sites. Molecular Biology and Evolution. 25(8). 1778–1787. 20 indexed citations
9.
Knies, Jennifer L., et al.. (2006). The Genetic Basis of Thermal Reaction Norm Evolution in Lab and Natural Phage Populations. PLoS Biology. 4(7). e201–e201. 77 indexed citations
10.
Knies, Jennifer L., et al.. (2004). Seed Mass and Morphology in Outcrossing and Selfing Species of Clarkia (Onagraceae): An SEM Study. International Journal of Plant Sciences. 165(1). 85–96. 24 indexed citations
11.
Yang, Hsin‐Sheng, et al.. (2003). Pdcd4 suppresses tumor phenotype in JB6 cells by inhibiting AP-1 transactivation. Oncogene. 22(24). 3712–3720. 147 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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