John F. Beckmann

1.8k total citations · 1 hit paper
21 papers, 1.1k citations indexed

About

John F. Beckmann is a scholar working on Insect Science, Molecular Biology and Epidemiology. According to data from OpenAlex, John F. Beckmann has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Insect Science, 6 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in John F. Beckmann's work include Insect symbiosis and bacterial influences (15 papers), Insect and Pesticide Research (8 papers) and Mosquito-borne diseases and control (5 papers). John F. Beckmann is often cited by papers focused on Insect symbiosis and bacterial influences (15 papers), Insect and Pesticide Research (8 papers) and Mosquito-borne diseases and control (5 papers). John F. Beckmann collaborates with scholars based in United States and France. John F. Beckmann's co-authors include Mark Hochstrasser, J.A. Ronau, Ann M. Fallon, Hongli Chen, Jessamyn I. Perlmutter, Sarah R. Bordenstein, Jason A. Metcalf, Lisa J. Funkhouser-Jones, Seth R. Bordenstein and J. Dylan Shropshire and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

John F. Beckmann

20 papers receiving 1.1k citations

Hit Papers

Prophage WO genes recapitulate and enhance Wolbachia-indu... 2017 2026 2020 2023 2017 100 200 300
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.

  1. Prophage WO genes recapitulate and enhance Wolbachia-induced cytoplasmic incompatibility
    2017 314 citations D. Lepage, Jason A. Metcalf et al. Nature profile →

Peers

John F. Beckmann
Sarah R. Bordenstein United States
Jeremy K. Herren Kenya
Álvaro Ferreira Brazil
Julien Martinez United Kingdom
Luke Anthony Baton Brazil
Bruno Coelho Rocha Brazil
Thomas H. Ant United Kingdom
Eric P. Caragata United States
Melinda Greenfield United States
Yixin H. Ye Australia
Sarah R. Bordenstein United States
John F. Beckmann
Citations per year, relative to John F. Beckmann John F. Beckmann (= 1×) peers Sarah R. Bordenstein

Countries citing papers authored by John F. Beckmann

Since Specialization
Citations

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

Fields of papers citing papers by John F. Beckmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John F. Beckmann. 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 John F. Beckmann. The network helps show where John F. Beckmann may publish in the future.

Co-authorship network of co-authors of John F. Beckmann

This figure shows the co-authorship network connecting the top 25 collaborators of John F. Beckmann. A scholar is included among the top collaborators of John F. Beckmann 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 John F. Beckmann. John F. Beckmann 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.
Murphy, Richard, et al.. (2024). Computer numerical control knitting of high-resolution mosquito bite blocking textiles. SHILAP Revista de lepidopterología. 3(1). 119–119. 1 indexed citations
2.
Tauritz, Daniel R., et al.. (2024). Evolutionary algorithms simulating molecular evolution: a new field proposal. Briefings in Bioinformatics. 25(5). 1 indexed citations
3.
Laidoudi, Younes, et al.. (2023). The prevalence of Wolbachia in multiple cockroach species and its implication for urban insect management. Journal of Economic Entomology. 116(4). 1307–1316. 3 indexed citations
4.
Beckmann, John F., et al.. (2023). Using Baker’s Yeast to Determine Functions of Novel Wolbachia (and Other Prokaryotic) Effectors. Methods in molecular biology. 2739. 321–336. 2 indexed citations
5.
Beckmann, John F., et al.. (2023). Modeling emergence of Wolbachia toxin-antidote protein functions with an evolutionary algorithm. Frontiers in Microbiology. 14. 1116766–1116766. 2 indexed citations
6.
Beckmann, John F., et al.. (2023). Convergent Aedes and Drosophila CidB interactomes suggest cytoplasmic incompatibility targets are conserved. Insect Biochemistry and Molecular Biology. 155. 103931–103931. 3 indexed citations
7.
8.
Beckmann, John F., et al.. (2021). Heterakis gallinarum and Histomonas meleagridis DNA persists in chicken houses years after depopulation. Veterinary Parasitology. 298. 109536–109536. 9 indexed citations
9.
Beckmann, John F., et al.. (2021). A single mutation weakens symbiont-induced reproductive manipulation through reductions in deubiquitylation efficiency. Proceedings of the National Academy of Sciences. 118(39). 18 indexed citations
10.
Driscoll, Timothy, Victoria I. Verhoeve, John F. Beckmann, et al.. (2020). Evolution of Wolbachia mutualism and reproductive parasitism: insight from two novel strains that co-infect cat fleas. PeerJ. 8. e10646–e10646. 32 indexed citations
11.
Berk, Jason M., J.A. Ronau, Hongli Chen, et al.. (2020). A deubiquitylase with an unusually high-affinity ubiquitin-binding domain from the scrub typhus pathogen Orientia tsutsugamushi. Nature Communications. 11(1). 2343–2343. 22 indexed citations
12.
13.
Beckmann, John F., Manon Bonneau, Hongli Chen, et al.. (2019). The Toxin–Antidote Model of Cytoplasmic Incompatibility: Genetics and Evolutionary Implications. Trends in Genetics. 35(3). 175–185. 88 indexed citations
14.
Chen, Hongli, J.A. Ronau, John F. Beckmann, & Mark Hochstrasser. (2019). A Wolbachia nuclease and its binding partner provide a distinct mechanism for cytoplasmic incompatibility. Proceedings of the National Academy of Sciences. 116(44). 22314–22321. 63 indexed citations
15.
Beckmann, John F., J.A. Ronau, & Mark Hochstrasser. (2017). A Wolbachia deubiquitylating enzyme induces cytoplasmic incompatibility. Nature Microbiology. 2(5). 17007–17007. 255 indexed citations
16.
Lepage, D., Jason A. Metcalf, Sarah R. Bordenstein, et al.. (2017). Prophage WO genes recapitulate and enhance Wolbachia-induced cytoplasmic incompatibility. Nature. 543(7644). 243–247. 314 indexed citations breakdown →
17.
Ronau, J.A., John F. Beckmann, & Mark Hochstrasser. (2016). Substrate specificity of the ubiquitin and Ubl proteases. Cell Research. 26(4). 441–456. 89 indexed citations
18.
Beckmann, John F. & Ann M. Fallon. (2013). Detection of the Wolbachia protein WPIP0282 in mosquito spermathecae: Implications for cytoplasmic incompatibility. Insect Biochemistry and Molecular Biology. 43(9). 867–878. 77 indexed citations
19.
Beckmann, John F., Todd W. Markowski, Bruce A. Witthuhn, & Ann M. Fallon. (2012). Detection of the Wolbachia-encoded DNA binding protein, HU beta, in mosquito gonads. Insect Biochemistry and Molecular Biology. 43(3). 272–279. 17 indexed citations
20.

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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