Debra Murray

1.5k total citations
16 papers, 1.1k citations indexed

About

Debra Murray is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Molecular Biology. According to data from OpenAlex, Debra Murray has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, Evolution, Behavior and Systematics, 6 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Debra Murray's work include Plant and animal studies (7 papers), Hymenoptera taxonomy and phylogeny (3 papers) and Ecology and Vegetation Dynamics Studies (3 papers). Debra Murray is often cited by papers focused on Plant and animal studies (7 papers), Hymenoptera taxonomy and phylogeny (3 papers) and Ecology and Vegetation Dynamics Studies (3 papers). Debra Murray collaborates with scholars based in United States, United Kingdom and Sweden. Debra Murray's co-authors include Philip J. DeVries, Russell Lande, Susanne S. Renner, Paul M. Magwene, Ashley P. G. Dowling, James M. Carpenter, Susanne Schulmeister, John M. Heraty, Ward C. Wheeler and Fredrik Ronquist and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genetics and PLoS Genetics.

In The Last Decade

Debra Murray

16 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debra Murray United States 10 766 406 262 224 212 16 1.1k
Karina Lucas Silva‐Brandão Brazil 19 526 0.7× 491 1.2× 157 0.6× 264 1.2× 299 1.4× 54 997
Jorge A. Lobo Costa Rica 11 732 1.0× 481 1.2× 408 1.6× 116 0.5× 69 0.3× 19 1.0k
Ricardo Ferreira Monteiro Brazil 16 545 0.7× 190 0.5× 119 0.5× 107 0.5× 345 1.6× 66 792
Allen M. Young United States 20 804 1.0× 387 1.0× 158 0.6× 81 0.4× 407 1.9× 92 1.1k
Carlos Lara Mexico 20 1.0k 1.3× 152 0.4× 471 1.8× 160 0.7× 141 0.7× 97 1.3k
Charles R. Haddad South Africa 21 679 0.9× 1.2k 2.9× 121 0.5× 183 0.8× 185 0.9× 158 1.5k
Santiago Ramírez‐Barahona Mexico 17 590 0.8× 272 0.7× 244 0.9× 276 1.2× 28 0.1× 43 1.0k
María Marta Cigliano Argentina 16 813 1.1× 330 0.8× 416 1.6× 133 0.6× 176 0.8× 62 1.2k
Abang Abdul Hamid Japan 12 962 1.3× 240 0.6× 541 2.1× 157 0.7× 228 1.1× 17 1.1k
Alessio De Biase Italy 17 674 0.9× 260 0.6× 120 0.5× 94 0.4× 559 2.6× 56 1.2k

Countries citing papers authored by Debra Murray

Since Specialization
Citations

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

Fields of papers citing papers by Debra Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debra Murray

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

All Works

16 of 16 papers shown
1.
Ketkar, Shamika, Ashley M. Butler, Latanya Hammonds-Odie, et al.. (2024). Development and evaluation of a training curriculum to engage researchers on accessing and analyzing the All of Us data. Journal of the American Medical Informatics Association. 31(12). 2857–2868. 2 indexed citations
2.
Roth, Cullen, Debra Murray, Sheng Sun, et al.. (2023). Amoeba predation of Cryptococcus: A quantitative and population genomic evaluation of the accidental pathogen hypothesis. PLoS Pathogens. 19(11). e1011763–e1011763. 8 indexed citations
3.
Robbins, Robert K., Qian Cong, Jing Zhang, et al.. (2021). A switch to feeding on cycads generates parallel accelerated evolution of toxin tolerance in two clades ofEumaeuscaterpillars (Lepidoptera: Lycaenidae). Proceedings of the National Academy of Sciences. 118(7). 9 indexed citations
4.
Roth, Cullen, Debra Murray, Ci Fu, et al.. (2021). Pleiotropy and epistasis within and between signaling pathways defines the genetic architecture of fungal virulence. PLoS Genetics. 17(1). e1009313–e1009313. 9 indexed citations
5.
Forsberg, C. W., Roy G. Meidinger, A. Ajakaiye, et al.. (2014). Comparative carcass and tissue nutrient composition of transgenic Yorkshire pigs expressing phytase in the saliva and conventional Yorkshire pigs1. Journal of Animal Science. 92(10). 4417–4439. 3 indexed citations
6.
Forsberg, C. W., Roy G. Meidinger, Debra Murray, et al.. (2014). Phytase properties and locations in tissues of transgenic pigs secreting phytase in the saliva1. Journal of Animal Science. 92(8). 3375–3387. 2 indexed citations
7.
Granek, Joshua A., et al.. (2012). The Genetic Architecture of Biofilm Formation in a Clinical Isolate of Saccharomyces cerevisiae. Genetics. 193(2). 587–600. 28 indexed citations
8.
Heraty, John M., Fredrik Ronquist, James M. Carpenter, et al.. (2011). Evolution of the hymenopteran megaradiation. Molecular Phylogenetics and Evolution. 60(1). 73–88. 155 indexed citations
9.
Sharkey, Michael J., James M. Carpenter, Lars Vilhelmsen, et al.. (2011). Phylogenetic relationships among superfamilies of Hymenoptera. Cladistics. 28(1). 80–112. 174 indexed citations
10.
Magwene, Paul M., et al.. (2011). Outcrossing, mitotic recombination, and life-history trade-offs shape genome evolution in Saccharomyces cerevisiae. Proceedings of the National Academy of Sciences. 108(5). 1987–1992. 125 indexed citations
11.
Sharkey, Michael J., Nina Laurenne, Barbara J. Sharanowski, Donаld L. J. Quicke, & Debra Murray. (2006). Revision of the Agathidinae (Hymenoptera: Braconidae) with comparisons of static and dynamic alignments. Cladistics. 22(6). 546–567. 35 indexed citations
12.
Murray, Debra & Dorothy Prowell. (2004). Molecular phylogenetics and evolutionary history of the neotropical Satyrine Subtribe Euptychiina (Nymphalidae: Satyrinae). Molecular Phylogenetics and Evolution. 34(1). 67–80. 51 indexed citations
13.
Renner, Susanne S., et al.. (2000). Timing Transantarctic Disjunctions in the Atherospermataceae (Laurales): Evidence from Coding and Noncoding Chloroplast Sequences. Systematic Biology. 49(3). 579–591. 99 indexed citations
14.
DeVries, Philip J., Russell Lande, & Debra Murray. (1999). Associations of co-mimetic ithomiine butterflies on small spatial and temporal scales in a neotropical rainforest. Biological Journal of the Linnean Society. 67(1). 73–85. 57 indexed citations
15.
DeVries, Philip J., Debra Murray, & Russell Lande. (1997). Species diversity in vertical, horizontal, and temporal dimensions of a fruit-feeding butterfly community in an Ecuadorian rainforest. Biological Journal of the Linnean Society. 62(3). 343–364. 304 indexed citations
16.
DeVries, Philip J., Isidro Chacón, & Debra Murray. (1994). Toward a better understanding of host use and biodiversity in riodinid butterflies (Lepidoptera). Journal of Research on the Lepidoptera. 31(1-2). 103–126. 37 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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