Jonathan P. Day

3.1k total citations
43 papers, 1.9k citations indexed

About

Jonathan P. Day is a scholar working on Insect Science, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jonathan P. Day has authored 43 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Insect Science, 17 papers in Molecular Biology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jonathan P. Day's work include Insect symbiosis and bacterial influences (18 papers), Phosphodiesterase function and regulation (9 papers) and Invertebrate Immune Response Mechanisms (6 papers). Jonathan P. Day is often cited by papers focused on Insect symbiosis and bacterial influences (18 papers), Phosphodiesterase function and regulation (9 papers) and Invertebrate Immune Response Mechanisms (6 papers). Jonathan P. Day collaborates with scholars based in United Kingdom, United States and Portugal. Jonathan P. Day's co-authors include Francis M. Jiggins, Adam C. Wilkinson, Richard P. Bowater, Miles D. Houslay, George S. Baillie, Julian A. T. Dow, Ben Longdon, Rodrigo Cogni, William J. Palmer and Sophia C. L. Smith and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Jonathan P. Day

42 papers receiving 1.9k citations

Peers

Jonathan P. Day

GENET

CMN

PHEOH

Yusuke Kato Japan

Mimi Shirasu‐Hiza United States

William W. Ja United States

Toshifumi YOKOYAMA Japan

Yu‐Feng Wang China

Matthew DeGennaro United States

Carla Mucignat‐Caretta Italy

Demetrios K. Vassilatis United States

Doris Cully United States

Emily R. Troemel United States

Yusuke Kato Japan

Jonathan P. Day

959 ×1.2

388 ×0.9

338 ×1.0

GENET

276 ×0.9

CMN

150 ×0.7

PHEOH

Citations per year, relative to Jonathan P. Day Jonathan P. Day (= 1×) peers Yusuke Kato

Countries citing papers authored by Jonathan P. Day

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan P. Day

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan P. Day. 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 Jonathan P. Day. The network helps show where Jonathan P. Day may publish in the future.

Co-authorship network of co-authors of Jonathan P. Day

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

All Works

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20 of 20 papers shown

Leitão, Alexandre B., et al.. (2024). Recognition of nonself is necessary to activate Drosophila’s immune response against an insect parasite. BMC Biology. 22(1). 89–89. 2 indexed citations

Luque, Carlos M., et al.. (2023). Hunting Drosophila viruses from wild populations: A novel isolation approach and characterisation of viruses. PLoS Pathogens. 19(3). e1010883–e1010883. 6 indexed citations

Fabian, Daniel K., et al.. (2022). A novel transposable element-mediated mechanism causes antiviral resistance in Drosophila through truncating the Veneno protein. Proceedings of the National Academy of Sciences. 119(29). e2122026119–e2122026119. 14 indexed citations

Ding, Shuai, et al.. (2022). Trans-regulatory changes underpin the evolution of the Drosophila immune response. PLoS Genetics. 18(11). e1010453–e1010453. 3 indexed citations

Leitão, Alexandre B., Ramesh Arunkumar, Jonathan P. Day, et al.. (2020). Constitutive activation of cellular immunity underlies the evolution of resistance to infection in Drosophila. eLife. 9. 28 indexed citations

Day, Jonathan P., et al.. (2019). Host-pathogen coevolution increases genetic variation in susceptibility to infection. eLife. 8. 40 indexed citations

Vagena, Eirini, Jae Kyu Ryu, Bernat Baeza-Raja, et al.. (2019). A high-fat diet promotes depression-like behavior in mice by suppressing hypothalamic PKA signaling. Translational Psychiatry. 9(1). 141–141. 90 indexed citations

Longdon, Ben, Jonathan P. Day, Philip T. Leftwich, et al.. (2017). Vertically transmitted rhabdoviruses are found across three insect families and have dynamic interactions with their hosts. Proceedings of the Royal Society B Biological Sciences. 284(1847). 20162381–20162381. 32 indexed citations

Crawford, Jacob E., Joel M. Alves, William J. Palmer, et al.. (2017). Population genomics reveals that an anthropophilic population of Aedes aegypti mosquitoes in West Africa recently gave rise to American and Asian populations of this major disease vector. BMC Biology. 15(1). 16–16. 86 indexed citations

10.

Palmer, William J., Ana Duarte, Matthew Schrader, et al.. (2016). A gene associated with social immunity in the burying beetle Nicrophorus vespilloides. Proceedings of the Royal Society B Biological Sciences. 283(1823). 20152733–20152733. 40 indexed citations

11.

Longdon, Ben, Jarrod D. Hadfield, Jonathan P. Day, et al.. (2015). The Causes and Consequences of Changes in Virulence following Pathogen Host Shifts. PLoS Pathogens. 11(3). e1004728–e1004728. 85 indexed citations

12.

Longdon, Ben, Gemma G. R. Murray, William J. Palmer, et al.. (2015). The evolution, diversity, and host associations of rhabdoviruses. Virus Evolution. 1(1). vev014–vev014. 66 indexed citations

13.

Plattner, Florian, Kanehiro Hayashi, Adán Hernández, et al.. (2015). The role of ventral striatal cAMP signaling in stress-induced behaviors. Nature Neuroscience. 18(8). 1094–1100. 72 indexed citations

14.

Day, Jonathan P.. (2012). Introduction to In Vitro Diagnostic Device Regulatory Requirements. Methods in molecular biology. 949. 103–112. 1 indexed citations

15.

Havekes, Robbert, David A. Canton, Alan Jung Park, et al.. (2012). Gravin Orchestrates Protein Kinase A and β2-Adrenergic Receptor Signaling Critical for Synaptic Plasticity and Memory. Journal of Neuroscience. 32(50). 18137–18149. 58 indexed citations

16.

Scheunemann, Lisa, Jonathan P. Day, Andreas S. Thum, et al.. (2012). Consolidated and Labile Odor Memory Are Separately Encoded within the Drosophila Brain. Journal of Neuroscience. 32(48). 17163–17171. 31 indexed citations

17.

Frank, Christian, Suryakiran Vadrevu, Jonathan P. Day, et al.. (2010). p62 (SQSTM1) and cyclic AMP phosphodiesterase-4A4 (PDE4A4) locate to a novel, reversible protein aggregate with links to autophagy and proteasome degradation pathways. Cellular Signalling. 22(10). 1576–1596. 36 indexed citations

18.

Wilkinson, Adam C., et al.. (2003). NAD⁺‐dependent DNA ligases of Mycobacterium tuberculosis and Streptomyces coelicolor. Proteins Structure Function and Bioinformatics. 51(3). 321–326. 19 indexed citations

19.

Weller, Geoffrey R., Boris Kysela, Rajat Roy, et al.. (2002). Identification of a DNA Nonhomologous End-Joining Complex in Bacteria. Science. 297(5587). 1686–1689. 252 indexed citations

20.

Wilkinson, Adam C., Jonathan P. Day, & Richard P. Bowater. (2001). Bacterial DNA ligases. Molecular Microbiology. 40(6). 1241–1248. 177 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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