Reed M. Johnson

9.1k total citations · 5 hit papers
64 papers, 4.6k citations indexed

About

Reed M. Johnson is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Reed M. Johnson has authored 64 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Insect Science, 41 papers in Ecology, Evolution, Behavior and Systematics and 32 papers in Genetics. Recurrent topics in Reed M. Johnson's work include Insect and Pesticide Research (51 papers), Plant and animal studies (41 papers) and Insect and Arachnid Ecology and Behavior (31 papers). Reed M. Johnson is often cited by papers focused on Insect and Pesticide Research (51 papers), Plant and animal studies (41 papers) and Insect and Arachnid Ecology and Behavior (31 papers). Reed M. Johnson collaborates with scholars based in United States, Australia and Germany. Reed M. Johnson's co-authors include May R. Berenbaum, Marion D. Ellis, Douglas B. Sponsler, Christopher A. Mullin, Maryann Frazier, Blair D. Siegfried, Mary A. Schuler, Chia‐Hua Lin, John G. Oakeshott and Charles Claudianos and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Bioinformatics.

In The Last Decade

Reed M. Johnson

62 papers receiving 4.4k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A deficit of detoxification enzymes: pesticide sensitivity and environmental response in the honeybee

2006 585 citations Reed M. Johnson, May R. Berenbaum et al. Insect Molecular Biology profile →
Pesticides and honey bee toxicity – USA

2010 524 citations Reed M. Johnson, Marion D. Ellis et al. profile →
Acaricide, Fungicide and Drug Interactions in Honey Bees (Apis mellifera)

2013 322 citations Reed M. Johnson, Blair D. Siegfried et al. PLoS ONE profile →
Xenobiotic detoxification pathways in honey bees

2015 293 citations May R. Berenbaum, Reed M. Johnson Current Opinion in Insect Science profile →
Honey Bee Toxicology

2014 274 citations Reed M. Johnson profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Reed M. Johnson United States	31	3.9k	3.0k	2.5k	765	753	64	4.6k
Diana Cox-Foster United States	35	4.1k 1.1×	3.0k 1.0×	2.8k 1.2×	627 0.8×	858 1.1×	60	4.8k
Thierry Hance Belgium	36	3.2k 0.8×	1.3k 0.4×	773 0.3×	405 0.5×	2.1k 2.8×	224	4.7k
Éric Wajnberg France	38	3.5k 0.9×	1.9k 0.6×	622 0.3×	1.0k 1.3×	2.1k 2.8×	122	4.8k
Jean‐Marie Delpuech France	17	3.0k 0.8×	1.1k 0.4×	792 0.3×	725 0.9×	1.6k 2.1×	29	3.4k
Peter J. Landolt United States	39	4.2k 1.1×	2.2k 0.8×	1.2k 0.5×	411 0.5×	1.7k 2.2×	208	5.1k
Konrad Dettner Germany	31	1.7k 0.4×	1.3k 0.4×	668 0.3×	610 0.8×	699 0.9×	174	3.1k
Lynn S. Adler United States	40	2.6k 0.7×	4.2k 1.4×	977 0.4×	575 0.8×	3.0k 4.0×	119	5.0k
Pierre Franck France	32	2.5k 0.7×	2.2k 0.7×	1.7k 0.7×	478 0.6×	972 1.3×	81	3.7k
Stefan Dötterl Germany	43	1.6k 0.4×	4.3k 1.5×	721 0.3×	1.5k 1.9×	3.2k 4.2×	178	5.2k
S. Maini Italy	27	2.1k 0.5×	1.1k 0.4×	766 0.3×	286 0.4×	1.2k 1.6×	177	2.9k

Countries citing papers authored by Reed M. Johnson

Since Specialization

Citations

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

Fields of papers citing papers by Reed M. Johnson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reed M. Johnson. 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 Reed M. Johnson. The network helps show where Reed M. Johnson may publish in the future.

Co-authorship network of co-authors of Reed M. Johnson

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Underwood, J. H., et al.. (2025). buzzdetect: an open-source deep learning tool for automated bioacoustic pollinator monitoring. Journal of Insect Science. 25(6).

Glinski, Donna A., S. Thomas Purucker, Jeffrey M. Minucci, et al.. (2024). Analysis of contaminant residues in honey bee hive matrices. The Science of The Total Environment. 954. 176329–176329. 6 indexed citations

Hale, Vanessa L., et al.. (2023). Antibacterial effects of propolis and brood comb extracts on the causative agent of European Foulbrood ( Melissococcus plutonius ) in honey bees ( Apis mellifera ). Journal of Apicultural Research. 62(4). 813–822. 1 indexed citations

Johnson, Reed M., et al.. (2023). Toxicity of spray adjuvants and tank mix combinations used in almond orchards to adult honey bees (Apis mellifera). Journal of Economic Entomology. 116(5). 1467–1480. 9 indexed citations

Richardson, Rodney T., et al.. (2019). MetaCurator: A hidden Markov model‐based toolkit for extracting and curating sequences from taxonomically‐informative genetic markers. Methods in Ecology and Evolution. 11(1). 181–186. 30 indexed citations

Richardson, Rodney T., et al.. (2018). Quantitative multi‐locus metabarcoding and waggle dance interpretation reveal honey bee spring foraging patterns in Midwest agroecosystems. Molecular Ecology. 28(3). 686–697. 47 indexed citations

Bengtsson‐Palme, Johan, Rodney T. Richardson, Marco Meola, et al.. (2018). Metaxa2 Database Builder: enabling taxonomic identification from metagenomic or metabarcoding data using any genetic marker. Bioinformatics. 34(23). 4027–4033. 30 indexed citations

Richardson, Rodney T., Johan Bengtsson‐Palme, Mary M. Gardiner, & Reed M. Johnson. (2018). A reference cytochrome c oxidase subunit I database curated for hierarchical classification of arthropod metabarcoding data. PeerJ. 6. e5126–e5126. 15 indexed citations

Calla, Bernarda, Reed M. Johnson, Kimberly K. O. Walden, et al.. (2017). Cytochrome P450 diversification and hostplant utilization patterns in specialist and generalist moths: Birth, death and adaptation. Molecular Ecology. 26(21). 6021–6035. 57 indexed citations

10.

Berenbaum, May R. & Reed M. Johnson. (2015). Xenobiotic detoxification pathways in honey bees. Current Opinion in Insect Science. 10. 51–58. 293 indexed citations breakdown →

11.

Richardson, Rodney T., et al.. (2015). Application of ITS2 metabarcoding to determine the provenance of pollen collected by honey bees in an agroecosystem. Applications in Plant Sciences. 3(1). 186 indexed citations

12.

Johnson, Reed M., et al.. (2013). Acaricide, Fungicide and Drug Interactions in Honey Bees (Apis mellifera). PLoS ONE. 8(1). e54092–e54092. 322 indexed citations breakdown →

13.

Cilek, J. E., et al.. (2012). Evaluation of Several Novel Alkynols, Alkenols, and Selected Host Odor Blends as Attractants to Female Aedes albopictus and Culex quinquefasciatus. Journal of the American Mosquito Control Association. 28(3). 199–205. 4 indexed citations

14.

Cilek, J. E., et al.. (2011). Semi–Field Evaluation of Several Novel Alkenol Analogs of 1-octen-3-ol As Attractants to Adult Aedes albopictus and Culex quinquefasciatus. Journal of the American Mosquito Control Association. 27(3). 256–262. 14 indexed citations

15.

Cilek, J. E., et al.. (2011). Semi–Field Comparison of the Bg Lure, Nonanal, and 1-Octen-3-OL to Attract Adult Mosquitoes In Northwestern Florida. Journal of the American Mosquito Control Association. 27(4). 393–397. 12 indexed citations

16.

Lee, Sang Hee, Jong‐Soo Kang, Jee Sun Min, et al.. (2010). Decreased detoxification genes and genome size make the human body louse an efficient model to study xenobiotic metabolism. Insect Molecular Biology. 19(5). 599–615. 76 indexed citations

17.

Johnson, Reed M.. (2009). Managed pollinator CAP--Coordinated Agricultural Project: When varroacides interact. American bee journal. 3 indexed citations

18.

Mao, Wenfu, Sanjeewa G. Rupasinghe, Reed M. Johnson, et al.. (2009). Quercetin-metabolizing CYP6AS enzymes of the pollinator Apis mellifera (Hymenoptera: Apidae). Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 154(4). 427–434. 115 indexed citations

19.

Cilek, J. E., et al.. (2008). Evaluation of an Automatic-Timed Insecticide Application System for Backyard Mosquito Control. Journal of the American Mosquito Control Association. 24(4). 560–565. 6 indexed citations

20.

Johnson, Reed M., Zhimou Wen, Mary A. Schuler, & May R. Berenbaum. (2006). Mediation of Pyrethroid Insecticide Toxicity to Honey Bees (Hymenoptera: Apidae) by Cytochrome P450 Monooxygenases. Journal of Economic Entomology. 99(4). 1046–1050. 121 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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