Dawn Lopez

2.3k total citations · 1 hit paper
26 papers, 1.7k citations indexed

About

Dawn Lopez is a scholar working on Insect Science, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Dawn Lopez has authored 26 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Insect Science, 24 papers in Genetics and 18 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Dawn Lopez's work include Insect and Pesticide Research (26 papers), Insect and Arachnid Ecology and Behavior (24 papers) and Plant and animal studies (18 papers). Dawn Lopez is often cited by papers focused on Insect and Pesticide Research (26 papers), Insect and Arachnid Ecology and Behavior (24 papers) and Plant and animal studies (18 papers). Dawn Lopez collaborates with scholars based in United States, China and Sweden. Dawn Lopez's co-authors include Jay D. Evans, Dennis vanEngelsdorp, Robert S. Cornman, Jeffery S. Pettis, Yanping Chen, David R. Tarpy, Haobo Jiang, Zhen Zou, Michael R. Kanost and Robyn Rose and has published in prestigious journals such as PLoS ONE, Scientific Reports and Environmental Pollution.

In The Last Decade

Dawn Lopez

25 papers receiving 1.7k citations

Hit Papers

Pathogen Webs in Collapsing Honey Bee Colonies 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dawn Lopez United States 16 1.6k 1.2k 1.2k 147 143 26 1.7k
Aleš Gregorc Slovenia 28 1.8k 1.1× 1.4k 1.2× 1.3k 1.1× 243 1.7× 118 0.8× 75 1.9k
Gennaro Di Prisco Italy 18 1.9k 1.2× 1.5k 1.2× 1.5k 1.2× 218 1.5× 85 0.6× 25 2.0k
Silvio Erler Germany 24 1.3k 0.8× 932 0.8× 853 0.7× 146 1.0× 116 0.8× 64 1.6k
Vanessa Corby‐Harris United States 23 1.7k 1.0× 1.2k 1.0× 1.1k 0.9× 122 0.8× 139 1.0× 43 2.0k
H. Michael G. Lattorff Germany 21 961 0.6× 835 0.7× 747 0.6× 178 1.2× 66 0.5× 80 1.2k
Paola Varricchio Italy 20 1.7k 1.0× 916 0.7× 952 0.8× 394 2.7× 398 2.8× 26 2.0k
Stephen F. Pernal Canada 23 1.8k 1.1× 1.5k 1.2× 1.3k 1.1× 255 1.7× 112 0.8× 61 2.1k
Mikio Yoshiyama Japan 18 1.1k 0.7× 640 0.5× 602 0.5× 166 1.1× 247 1.7× 56 1.3k
Benjamin Dainat Switzerland 22 2.0k 1.3× 1.7k 1.4× 1.7k 1.4× 203 1.4× 70 0.5× 47 2.1k
Desiderato Annoscia Italy 14 1.5k 0.9× 1.2k 1.0× 1.2k 1.0× 140 1.0× 37 0.3× 24 1.6k

Countries citing papers authored by Dawn Lopez

Since Specialization
Citations

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

Fields of papers citing papers by Dawn Lopez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawn Lopez

This figure shows the co-authorship network connecting the top 25 collaborators of Dawn Lopez. A scholar is included among the top collaborators of Dawn Lopez 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 Dawn Lopez. Dawn Lopez 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.
Graham, Jason R., Humberto Boncristiani, Ashley N. Mortensen, et al.. (2023). Widespread distribution of honey bee-associated pathogens in native bees and wasps: Trends in pathogen prevalence and co-occurrence. Journal of Invertebrate Pathology. 200. 107973–107973. 13 indexed citations
2.
Traynor, Kirsten S., Simone Tosi, Karen Rennich, et al.. (2021). Pesticides in honey bee colonies: Establishing a baseline for real world exposure over seven years in the USA. Environmental Pollution. 279. 116566–116566. 84 indexed citations
3.
Posada-Flórez, Francisco, et al.. (2020). Aberrant cocoons found on honey bee comb cells are found to be Osmia cornifrons (Radoszkowski) (Hymenoptera: Megachillidae). Journal of Apicultural Research. 59(5). 1000–1004.
4.
Beaurepaire, Alexis, Dawn Lopez, Jay D. Evans, et al.. (2020). Gene Expression and Functional Analyses of Odorant Receptors in Small Hive Beetles (Aethina tumida). International Journal of Molecular Sciences. 21(13). 4582–4582. 4 indexed citations
5.
Chaimanee, Veeranan, Jeffery S. Pettis, Humberto Boncristiani, et al.. (2020). Impact of Sacbrood Virus on Larval Microbiome of Apis mellifera and Apis cerana. Insects. 11(7). 439–439. 6 indexed citations
6.
Tauber, James P., Ryan S. Schwarz, Dawn Lopez, et al.. (2020). Colony-Level Effects of Amygdalin on Honeybees and Their Microbes. Insects. 11(11). 783–783. 12 indexed citations
7.
Ryabov, E. V., Anna K. Childers, Dawn Lopez, et al.. (2019). Dynamic evolution in the key honey bee pathogen deformed wing virus: Novel insights into virulence and competition using reverse genetics. PLoS Biology. 17(10). e3000502–e3000502. 82 indexed citations
8.
Huang, Qiang, Dawn Lopez, & Jay D. Evans. (2019). Shared and unique microbes between Small hive beetles (Aethina tumida) and their honey bee hosts. MicrobiologyOpen. 8(10). e899–e899. 13 indexed citations
9.
Tauber, James P., William R. Collins, Ryan S. Schwarz, et al.. (2019). Natural Product Medicines for Honey Bees: Perspective and Protocols. Insects. 10(10). 356–356. 36 indexed citations
10.
Stamets, Paul, Jay D. Evans, Jennifer Han, et al.. (2018). Extracts of Polypore Mushroom Mycelia Reduce Viruses in Honey Bees. Scientific Reports. 8(1). 13936–13936. 35 indexed citations
12.
Traynor, Kirsten S., Karen Rennich, Eva Forsgren, et al.. (2016). Multiyear survey targeting disease incidence in US honey bees. Apidologie. 47(3). 325–347. 147 indexed citations
13.
Boncristiani, Humberto, Jay D. Evans, Yanping Chen, et al.. (2013). In Vitro Infection of Pupae with Israeli Acute Paralysis Virus Suggests Disturbance of Transcriptional Homeostasis in Honey Bees (Apis mellifera). PLoS ONE. 8(9). e73429–e73429. 64 indexed citations
14.
Cornman, Robert S., Dawn Lopez, & Jay D. Evans. (2013). Transcriptional Response of Honey Bee Larvae Infected with the Bacterial Pathogen Paenibacillus larvae. PLoS ONE. 8(6). e65424–e65424. 41 indexed citations
15.
Cornman, Robert S., David R. Tarpy, Yanping Chen, et al.. (2012). Pathogen Webs in Collapsing Honey Bee Colonies. PLoS ONE. 7(8). e43562–e43562. 353 indexed citations breakdown →
16.
Rose, Robyn, Jerry Hayes, Jeff Pettis, et al.. (2010). The National Honey Bee Disease and Pest Survey: 2009-2010 pilot study.. American bee journal. 150(11). 1033–1035. 1 indexed citations
17.
Zou, Zhen, Dawn Lopez, Michael R. Kanost, Jay D. Evans, & Haobo Jiang. (2006). Comparative analysis of serine protease‐related genes in the honey bee genome: possible involvement in embryonic development and innate immunity. Insect Molecular Biology. 15(5). 603–614. 162 indexed citations
18.
Evans, Jay D. & Dawn Lopez. (2004). Bacterial Probiotics Induce an Immune Response in the Honey Bee (Hymenoptera: Apidae). Journal of Economic Entomology. 97(3). 752–756. 170 indexed citations
19.
Evans, Jay D. & Dawn Lopez. (2004). Bacterial Probiotics Induce an Immune Response in the Honey Bee (Hymenoptera: Apidae). Journal of Economic Entomology. 97(3). 752–756. 167 indexed citations
20.
Evans, Jay D. & Dawn Lopez. (2002). Complete Mitochondrial DNA Sequence of the Important Honey Bee Pest, Varroa Destructor (Acari: Varroidae). Experimental and Applied Acarology. 27(1-2). 69–78. 40 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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