Leonard J. Foster

22.7k total citations · 4 hit papers
314 papers, 15.9k citations indexed

About

Leonard J. Foster is a scholar working on Molecular Biology, Genetics and Insect Science. According to data from OpenAlex, Leonard J. Foster has authored 314 papers receiving a total of 15.9k indexed citations (citations by other indexed papers that have themselves been cited), including 157 papers in Molecular Biology, 90 papers in Genetics and 68 papers in Insect Science. Recurrent topics in Leonard J. Foster's work include Insect and Pesticide Research (67 papers), Insect and Arachnid Ecology and Behavior (63 papers) and Plant and animal studies (53 papers). Leonard J. Foster is often cited by papers focused on Insect and Pesticide Research (67 papers), Insect and Arachnid Ecology and Behavior (63 papers) and Plant and animal studies (53 papers). Leonard J. Foster collaborates with scholars based in Canada, United States and United Kingdom. Leonard J. Foster's co-authors include Matthias Mann, Carmen L. de Hoog, Queenie W. T. Chan, Anders Riis Kristensen, James Wagner, Fiona S. L. Brinkman, Gabor Melli, Nancy Yu, Raymond Lo and Phuong Dao and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Leonard J. Foster

301 papers receiving 15.7k citations

Hit Papers

4 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.

PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes

2010 1.9k citations Leonard J. Foster et al. profile →
Unbiased quantitative proteomics of lipid rafts reveals high specificity for signaling factors

2003 707 citations Leonard J. Foster, Carmen L. de Hoog et al. Proceedings of the National Academy of Sciences profile →
A proteomics strategy to elucidate functional protein-protein interactions applied to EGF signaling

2003 572 citations Leonard J. Foster et al. profile →
Recent advances in targeting the “undruggable” proteins: from drug discovery to clinical trials

2023 188 citations Xin Xie, Leonard J. Foster et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leonard J. Foster Canada	62	9.7k	2.3k	2.1k	2.0k	1.6k	314	15.9k
Peter Roepstorff Denmark	81	14.2k 1.5×	2.3k 1.0×	1.7k 0.8×	8.1k 4.0×	1.2k 0.8×	444	26.3k
Lorenza Bordoli Switzerland	20	15.3k 1.6×	2.3k 1.0×	1.4k 0.6×	404 0.2×	778 0.5×	23	24.1k
Nick V. Grishin United States	77	18.1k 1.9×	3.0k 1.3×	2.3k 1.0×	546 0.3×	496 0.3×	318	26.7k
Andrew Waterhouse Switzerland	14	13.9k 1.4×	2.4k 1.1×	1.4k 0.7×	294 0.1×	833 0.5×	16	22.1k
Keith L. Williams Australia	42	8.0k 0.8×	915 0.4×	1.5k 0.7×	2.2k 1.1×	447 0.3×	144	12.6k
Elisabeth Gasteiger Switzerland	29	9.9k 1.0×	1.2k 0.5×	774 0.4×	1.1k 0.6×	525 0.3×	39	14.4k
Alain Van Dorsselaer France	59	7.9k 0.8×	1.4k 0.6×	888 0.4×	1.4k 0.7×	508 0.3×	263	12.8k
Patrick H. O’Farrell United States	66	25.0k 2.6×	4.7k 2.1×	7.2k 3.4×	3.4k 1.7×	1.2k 0.7×	140	34.2k
Jack Kyte United States	19	15.6k 1.6×	2.7k 1.2×	1.8k 0.8×	1.2k 0.6×	432 0.3×	34	21.8k
Kris Gevaert Belgium	83	14.9k 1.5×	1.0k 0.4×	2.3k 1.1×	3.3k 1.6×	289 0.2×	429	22.3k

Countries citing papers authored by Leonard J. Foster

Since Specialization

Citations

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

Fields of papers citing papers by Leonard J. Foster

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonard J. Foster. 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 Leonard J. Foster. The network helps show where Leonard J. Foster may publish in the future.

Co-authorship network of co-authors of Leonard J. Foster

This figure shows the co-authorship network connecting the top 25 collaborators of Leonard J. Foster. A scholar is included among the top collaborators of Leonard J. Foster 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 Leonard J. Foster. Leonard J. Foster 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

McAfee, Alison, Christopher W. Allen, M. Julien, et al.. (2025). Factors affecting heat resilience of drone honey bees (Apis mellifera) and their sperm. PLoS ONE. 20(2). e0317672–e0317672. 1 indexed citations

Zhong, Huan, et al.. (2025). Integrative Omics and AI-Driven Systems Biology: Multilayer Networks Decoding Apis mellifera Health and Resilience. Journal of Proteome Research. 24(11). 5305–5318.

Friedman, Sivan, Aleksandra A. Kolodziejczyk, Kyung‐Mee Moon, et al.. (2025). Single-cell and Spatial Transcriptomics Illuminate Bat Immunity and Barrier Tissue Evolution. Molecular Biology and Evolution. 42(2). 5 indexed citations

Foster, Leonard J., et al.. (2025). Protein bL38 facilitates incorporation of uL6 during assembly of the 50S subunit in Flavobacterium johnsoniae. Nucleic Acids Research. 53(4). 1 indexed citations

Karunakaran, Karuna P., Hong Yu, Xiaozhou Jiang, et al.. (2024). Immunoproteomic discovery of Mycobacterium bovis antigens, including the surface lipoprotein Mpt83 as a T cell antigen useful for vaccine development. Vaccine. 42(24). 126266–126266. 3 indexed citations

Caesar, Lílian, Danny W. Rice, Alison McAfee, et al.. (2024). Metagenomic analysis of the honey bee queen microbiome reveals low bacterial diversity and Caudoviricetes phages. mSystems. 9(2). e0118223–e0118223. 5 indexed citations

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

Pan, Zhaoping, Xiaoyun Wang, Xin Xie, et al.. (2023). Targeting bromodomain-containing proteins: research advances of drug discovery. Molecular Biomedicine. 4(1). 13–13. 15 indexed citations

Vlok, Marli, Yasir Mohamud, Leonard J. Foster, et al.. (2023). Cleavage of 14-3-3ε by the enteroviral 3C protease dampens RIG-I-mediated antiviral signaling. Journal of Virology. 97(8). e0060423–e0060423. 9 indexed citations

10.

Skinnider, Michael A., Fei Wang, Daniel Pasin, et al.. (2021). A deep generative model enables automated structure elucidation of novel psychoactive substances. Nature Machine Intelligence. 3(11). 973–984. 55 indexed citations

11.

Hoover, Shelley E., Abdullah Ibrahim, Stephen F. Pernal, et al.. (2020). Honey Bee Queen Production: Canadian Costing Case Study and Profitability Analysis. Journal of Economic Entomology. 113(4). 1618–1627. 17 indexed citations

12.

Berger, Caroline, et al.. (2020). Frequent Assembly of Chimeric Complexes in the Protein Interaction Network of an Interspecies Yeast Hybrid. Molecular Biology and Evolution. 38(4). 1384–1401. 12 indexed citations

13.

Weber, Brent S., Seth W. Hennon, Meredith S. Wright, et al.. (2016). Genetic Dissection of the Type VI Secretion System in Acinetobacter and Identification of a Novel Peptidoglycan Hydrolase, TagX, Required for Its Biogenesis. mBio. 7(5). 82 indexed citations

14.

Yu, Hong, Matthew A. Croxen, Amanda M. Marchiando, et al.. (2014). Autophagy Facilitates Salmonella Replication in HeLa Cells. mBio. 5(2). e00865–14. 71 indexed citations

15.

Auweter, Sigrid, Amit P. Bhavsar, Carmen L. de Hoog, et al.. (2011). Quantitative Mass Spectrometry Catalogues Salmonella Pathogenicity Island-2 Effectors and Identifies Their Cognate Host Binding Partners. Journal of Biological Chemistry. 286(27). 24023–24035. 54 indexed citations

16.

Silverman, Judith M., Joachim Clos, Carolina Camargo de Oliveira, et al.. (2010). An exosome-based secretion pathway is responsible for protein export from Leishmania and communication with macrophages. Journal of Cell Science. 123(6). 842–852. 378 indexed citations

17.

Shankar, Jay, et al.. (2010). Pseudopodial Actin Dynamics Control Epithelial-Mesenchymal Transition in Metastatic Cancer Cells. Cancer Research. 70(9). 3780–3790. 227 indexed citations

18.

McDonald, Paul C., Arusha Oloumi, Julia Mills, et al.. (2008). Rictor and Integrin-Linked Kinase Interact and Regulate Akt Phosphorylation and Cancer Cell Survival. Cancer Research. 68(6). 1618–1624. 185 indexed citations

19.

Rogers, Lindsay D. & Leonard J. Foster. (2007). The dynamic phagosomal proteome and the contribution of the endoplasmic reticulum. Proceedings of the National Academy of Sciences. 104(47). 18520–18525. 102 indexed citations

20.

Howes, Charles G & Leonard J. Foster. (2007). PrestOMIC, an open source application for dissemination of proteomic datasets by individual laboratories. Proteome Science. 5(1). 8–8. 4 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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