Christopher Mayack

1.4k total citations
34 papers, 1.0k citations indexed

About

Christopher Mayack is a scholar working on Genetics, Insect Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Christopher Mayack has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Genetics, 29 papers in Insect Science and 28 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Christopher Mayack's work include Insect and Arachnid Ecology and Behavior (29 papers), Insect and Pesticide Research (29 papers) and Plant and animal studies (28 papers). Christopher Mayack is often cited by papers focused on Insect and Arachnid Ecology and Behavior (29 papers), Insect and Pesticide Research (29 papers) and Plant and animal studies (28 papers). Christopher Mayack collaborates with scholars based in United States, Türkiye and Germany. Christopher Mayack's co-authors include Dhruba Naug, Amparo Martínez‐Salvador, Mariano Higes, Raquel Martín‐Hernández, Cristina Botías, Laura Barrios, Aránzazu Meana, Dino P. McMahon, Myrsini E. Natsopoulou and J. Campbell and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Christopher Mayack

33 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
Christopher Mayack United States 15 911 787 781 78 46 34 1.0k
Myrsini E. Natsopoulou Germany 15 1.3k 1.4× 1.0k 1.3× 1.1k 1.3× 99 1.3× 33 0.7× 18 1.3k
Sophie E. F. Evison United Kingdom 18 666 0.7× 668 0.8× 741 0.9× 111 1.4× 28 0.6× 30 949
Jiandong An China 17 744 0.8× 525 0.7× 846 1.1× 229 2.9× 80 1.7× 71 993
Annette Van Oystaeyen Belgium 14 589 0.6× 638 0.8× 711 0.9× 61 0.8× 27 0.6× 30 843
Fani Hatjina Greece 17 1.6k 1.7× 1.3k 1.7× 1.4k 1.8× 104 1.3× 38 0.8× 51 1.7k
Tamara Gómez‐Moracho Spain 15 486 0.5× 364 0.5× 458 0.6× 57 0.7× 24 0.5× 30 584
Simon Tragust Germany 14 643 0.7× 610 0.8× 400 0.5× 86 1.1× 82 1.8× 26 830
Rhitoban Raychoudhury United States 13 608 0.7× 371 0.5× 391 0.5× 81 1.0× 137 3.0× 22 830
Anna K. Childers United States 12 534 0.6× 490 0.6× 431 0.6× 106 1.4× 144 3.1× 24 765
Matthias A. Fürst Austria 8 1.0k 1.1× 909 1.2× 1.0k 1.3× 149 1.9× 20 0.4× 9 1.2k

Countries citing papers authored by Christopher Mayack

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Mayack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Mayack

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Mayack. A scholar is included among the top collaborators of Christopher Mayack 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 Christopher Mayack. Christopher Mayack 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.
Dyer, Adrian G., et al.. (2025). Sub-lethal pesticide exposure interferes with honey bee memory of learnt colours. The Science of The Total Environment. 962. 178460–178460. 3 indexed citations
2.
Mayack, Christopher, et al.. (2025). Impacts of almond pollination service and inter-row cover cropping on honey bee colony strength and performance. The Science of The Total Environment. 983. 179703–179703.
3.
Khan, Zaeema, et al.. (2024). Inactivation of Nosema spp. with zinc phthalocyanine. Journal of Invertebrate Pathology. 203. 108074–108074. 1 indexed citations
4.
Khamesipour, Faham, et al.. (2023). A systematic review of honey bee (Apis mellifera, Linnaeus, 1758) infections and available treatment options. Veterinary Medicine and Science. 9(4). 1848–1860. 7 indexed citations
5.
6.
Rafat, Seyed Abbas, et al.. (2022). Intra- and Interspecies RNA-Seq Based Variants in the Lactation Process of Ruminants. Animals. 12(24). 3592–3592. 1 indexed citations
7.
Mayack, Christopher, et al.. (2021). Propolis Extract and Chitosan Improve Health of Nosema ceranae Infected Giant Honey Bees, Apis dorsata Fabricius, 1793. Pathogens. 10(7). 785–785. 9 indexed citations
8.
Mayack, Christopher, et al.. (2021). The pathological effects of a Nosema ceranae infection in the giant honey bee, Apis dorsata Fabricius, 1793. Journal of Invertebrate Pathology. 185. 107672–107672. 4 indexed citations
9.
Mayack, Christopher, et al.. (2021). Environmental exposures associated with honey bee health. Chemosphere. 286(Pt 3). 131948–131948. 20 indexed citations
10.
Rafat, Seyed Abbas, et al.. (2021). Weighted gene co-expression network analysis identifies modules and functionally enriched pathways in the lactation process. Scientific Reports. 11(1). 2367–2367. 47 indexed citations
11.
Suwannapong, Guntima, et al.. (2021). Age-Dependent Honey Bee Appetite Regulation Is Mediated by Trehalose and Octopamine Baseline Levels. Insects. 12(10). 863–863. 6 indexed citations
12.
Mayack, Christopher, et al.. (2020). Silicone Wristbands as Passive Samplers in Honey Bee Hives. Veterinary Sciences. 7(3). 86–86. 7 indexed citations
13.
Mayack, Christopher, et al.. (2020). Gas chromatography – Mass spectrometry as a preferred method for quantification of insect hemolymph sugars. Journal of Insect Physiology. 127. 104115–104115. 15 indexed citations
14.
Mayack, Christopher, Helen K. White, Frank Hirche, et al.. (2019). Appetite is correlated with octopamine and hemolymph sugar levels in forager honeybees. Journal of Comparative Physiology A. 205(4). 609–617. 15 indexed citations
15.
Mayack, Christopher, et al.. (2019). Honey bee (Apis mellifera) exposomes and dysregulated metabolic pathways associated with Nosema ceranae infection. PLoS ONE. 14(3). e0213249–e0213249. 21 indexed citations
16.
Kurze, Christoph, Christopher Mayack, Frank Hirche, et al.. (2016). Nosema spp. infections cause no energetic stress in tolerant honeybees. Parasitology Research. 115(6). 2381–2388. 39 indexed citations
17.
Mayack, Christopher & Dhruba Naug. (2015). Starving honeybees lose self-control. Biology Letters. 11(1). 20140820–20140820. 33 indexed citations
18.
Martín‐Hernández, Raquel, Cristina Botías, Laura Barrios, et al.. (2011). Comparison of the energetic stress associated with experimental Nosema ceranae and Nosema apis infection of honeybees (Apis mellifera). Parasitology Research. 109(3). 605–612. 147 indexed citations
19.
Campbell, J., et al.. (2010). Behavioural fever in infected honeybees: parasitic manipulation or coincidental benefit?. Parasitology. 137(10). 1487–1491. 55 indexed citations
20.
Mayack, Christopher & Dhruba Naug. (2008). Energetic stress in the honeybee Apis mellifera from Nosema ceranae infection. Journal of Invertebrate Pathology. 100(3). 185–188. 322 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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