Heather Higo

1.8k total citations
35 papers, 1.3k citations indexed

About

Heather Higo is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Heather Higo has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Insect Science, 31 papers in Ecology, Evolution, Behavior and Systematics and 24 papers in Genetics. Recurrent topics in Heather Higo's work include Insect and Pesticide Research (34 papers), Plant and animal studies (31 papers) and Insect and Arachnid Ecology and Behavior (24 papers). Heather Higo is often cited by papers focused on Insect and Pesticide Research (34 papers), Plant and animal studies (31 papers) and Insect and Arachnid Ecology and Behavior (24 papers). Heather Higo collaborates with scholars based in Canada, United States and Austria. Heather Higo's co-authors include Mark L. Winston, Keith N. Slessor, M. L. Winston, Christopher I. Keeling, Shelley E. Hoover, Désirée Tommasi, Leonard J. Foster, Tanya Pankiw, Jeffery S. Pettis and Abigail Chapman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Current Biology.

In The Last Decade

Heather Higo

34 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heather Higo Canada 21 1.1k 1.1k 966 182 55 35 1.3k
George P. Markin United States 15 599 0.5× 822 0.8× 831 0.9× 168 0.9× 76 1.4× 69 1.1k
Mary L. Cornelius United States 20 715 0.6× 707 0.7× 557 0.6× 297 1.6× 42 0.8× 64 1.1k
Fabio Sgolastra Italy 21 1.9k 1.6× 1.8k 1.6× 1.4k 1.4× 237 1.3× 41 0.7× 59 2.1k
Theresa L. Pitts‐Singer United States 24 1.5k 1.3× 1.6k 1.5× 1.1k 1.1× 352 1.9× 50 0.9× 67 1.8k
Cristiano Menezes Brazil 22 1.1k 1.0× 1.1k 1.1× 835 0.9× 178 1.0× 20 0.4× 60 1.4k
M. J. Sommeijer Netherlands 23 1.0k 0.9× 1.1k 1.0× 877 0.9× 194 1.1× 26 0.5× 76 1.2k
Shelley E. Hoover Canada 16 884 0.8× 965 0.9× 841 0.9× 146 0.8× 43 0.8× 41 1.2k
Michel Lambin France 12 693 0.6× 619 0.6× 521 0.5× 104 0.6× 97 1.8× 23 842
Tobias Pamminger Germany 17 439 0.4× 574 0.5× 498 0.5× 76 0.4× 46 0.8× 35 674
Denise A. Alves Brazil 19 655 0.6× 722 0.7× 628 0.7× 102 0.6× 16 0.3× 47 846

Countries citing papers authored by Heather Higo

Since Specialization
Citations

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

Fields of papers citing papers by Heather Higo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heather Higo

This figure shows the co-authorship network connecting the top 25 collaborators of Heather Higo. A scholar is included among the top collaborators of Heather Higo 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 Heather Higo. Heather Higo 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.
McAfee, Alison, Nadejda Tsvetkov, Heather Higo, et al.. (2024). Higher prevalence of sacbrood virus in Apis mellifera (Hymenoptera: Apidae) colonies after pollinating highbush blueberries. Journal of Economic Entomology. 117(4). 1324–1335. 2 indexed citations
2.
Pepinelli, Mateus, Ida M. Conflitti, Heather Higo, et al.. (2024). Honey bee stressor networks are complex and dependent on crop and region. Current Biology. 34(9). 1893–1903.e3. 18 indexed citations
3.
Foster, Leonard J., et al.. (2023). British Columbia beekeeping revenues and costs: survey data and profit modeling. Journal of Insect Science. 23(6). 4 indexed citations
4.
Castillo‐Araiza, Carlos O., et al.. (2023). Effects of dialkoxybenzenes against Varroa destructor and identification of 1-allyloxy-4-propoxybenzene as a promising acaricide candidate. Scientific Reports. 13(1). 11195–11195. 1 indexed citations
5.
Bishop, Christine A., et al.. (2022). Temporal and spatial patterns of systemic insecticides in avian and insect pollinators and flowers in western Canada (2018, 2019). Environmental Advances. 8. 100211–100211. 5 indexed citations
6.
Harpur, Brock A., M. Marta Guarna, Heather Higo, et al.. (2019). Integrative Genomics Reveals the Genetics and Evolution of the Honey Bee’s Social Immune System. Genome Biology and Evolution. 11(3). 937–948. 38 indexed citations
7.
McAfee, Alison, Abigail Chapman, Immacolata Iovinella, et al.. (2018). A death pheromone, oleic acid, triggers hygienic behavior in honey bees (Apis mellifera L.). Scientific Reports. 8(1). 5719–5719. 70 indexed citations
8.
Guarna, M. Marta, Shelley E. Hoover, Heather Higo, et al.. (2017). Peptide biomarkers used for the selective breeding of a complex polygenic trait in honey bees. Scientific Reports. 7(1). 8381–8381. 44 indexed citations
9.
Chan, Queenie W. T., et al.. (2013). Honey bee protein atlas at organ-level resolution. Genome Research. 23(11). 1951–1960. 49 indexed citations
10.
Higo, Heather, et al.. (2008). Lethal and Sublethal Effects of Imidacloprid on <I>Osmia lignaria</I> and Clothianidin on <I>Megachile rotundata</I> (Hymenoptera: Megachilidae). Journal of Economic Entomology. 101(3). 784–796. 67 indexed citations
11.
Pernal, Stephen F., et al.. (2005). Semiochemicals Influencing the Host-finding Behaviour of Varroa Destructor. Experimental and Applied Acarology. 37(1-2). 1–26. 39 indexed citations
12.
Winston, Mark L., et al.. (2005). The effects of honey bee (Apis mellifera)queen mandibular pheromone on colony defensive behaviour. Journal of Apicultural Research. 44(4). 175–179. 3 indexed citations
13.
Hoover, Shelley E., Heather Higo, & Mark L. Winston. (2005). Worker honey bee ovary development: seasonal variation and the influence of larval and adult nutrition. Journal of Comparative Physiology B. 176(1). 55–63. 104 indexed citations
14.
Higo, Heather, et al.. (2004). Honey Bee (Hymenoptera: Apidae) Distribution and Potential for Supplementary Pollination in Commercial Tomato Greenhouses During Winter. Journal of Economic Entomology. 97(2). 163–170. 17 indexed citations
15.
Tommasi, Désirée, et al.. (2004). Bee diversity and abundance in an urban setting. The Canadian Entomologist. 136(6). 851–869. 155 indexed citations
16.
17.
Winston, M. L., et al.. (2000). Evaluation of the botanical oils neem, thymol, and canola sprayed to control Varroa jacobsoni Oud. (Acari: Varroidae) and Acarapis woodi (Acari: Tarsonemidae) in colonies of honey bees (Apis mellifera L., Hymenoptera: Apidae).. American bee journal. 140(7). 567–572. 28 indexed citations
18.
19.
Winston, M. L., et al.. (1998). HONEY BEE PHEROMONES DO NOT IMPROVE REQUEENING SUCCESS. American bee journal. 138(12). 900–903.
20.
Winston, Mark L., et al.. (1991). The role of queen mandibular pheromone and colony congestion in honey bee (Apis mellifera L.) reproductive swarming (Hymenoptera: Apidae). Journal of Insect Behavior. 4(5). 649–660. 57 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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