Jonathan Pettitt

1.6k total citations
35 papers, 1.0k citations indexed

About

Jonathan Pettitt is a scholar working on Molecular Biology, Aging and Plant Science. According to data from OpenAlex, Jonathan Pettitt has authored 35 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 20 papers in Aging and 7 papers in Plant Science. Recurrent topics in Jonathan Pettitt's work include Genetics, Aging, and Longevity in Model Organisms (20 papers), RNA Research and Splicing (6 papers) and Nematode management and characterization studies (4 papers). Jonathan Pettitt is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (20 papers), RNA Research and Splicing (6 papers) and Nematode management and characterization studies (4 papers). Jonathan Pettitt collaborates with scholars based in United Kingdom, United States and Netherlands. Jonathan Pettitt's co-authors include Ian D. Broadbent, Jeff Hardin, Berndt Müller, William B. Wood, Ronald H.A. Plasterk, L. Anne Glover, Emma Hill, Cyrus Chothia, Elisabeth A. Cox and I.B. Kingston and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Jonathan Pettitt

34 papers receiving 1000 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Pettitt United Kingdom 19 690 402 237 164 89 35 1.0k
T M Rogalski Canada 17 697 1.0× 713 1.8× 322 1.4× 95 0.6× 75 0.8× 20 1.1k
Nancy Hawkins United States 12 775 1.1× 285 0.7× 159 0.7× 68 0.4× 58 0.7× 17 970
Lynn Boyd United States 12 741 1.1× 521 1.3× 316 1.3× 84 0.5× 105 1.2× 15 1.2k
Gillian M. Stanfield United States 10 722 1.0× 541 1.3× 115 0.5× 89 0.5× 53 0.6× 17 1.2k
N N Cheng Canada 7 829 1.2× 536 1.3× 318 1.3× 119 0.7× 166 1.9× 8 1.3k
Andrew W. Folkmann United States 15 1.4k 2.1× 459 1.1× 368 1.6× 113 0.7× 73 0.8× 18 1.8k
Sara K. Olson United States 12 897 1.3× 299 0.7× 692 2.9× 84 0.5× 59 0.7× 13 1.2k
Alison Woollard United Kingdom 20 1.5k 2.1× 387 1.0× 724 3.1× 229 1.4× 176 2.0× 42 1.8k
Katsufumi Dejima Japan 16 517 0.7× 188 0.5× 363 1.5× 92 0.6× 81 0.9× 31 781
Joshua A. Arribere United States 12 989 1.4× 428 1.1× 113 0.5× 85 0.5× 48 0.5× 20 1.2k

Countries citing papers authored by Jonathan Pettitt

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Pettitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Pettitt

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Pettitt. A scholar is included among the top collaborators of Jonathan Pettitt 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 Pettitt. Jonathan Pettitt 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.
Woollard, Alison, et al.. (2023). Both trust in, and polarization of trust in, relevant sciences have increased through the COVID-19 pandemic. PLoS ONE. 18(3). e0278169–e0278169. 8 indexed citations
2.
Makieva, Sofia, M Mincheva, Julia Uraji, et al.. (2022). #ESHREjc report: failed fertilization: is genetic incompatibility the elephant in the room?. Human Reproduction. 38(2). 324–327.
3.
Connolly, Bernadette, et al.. (2022). A novel, essentialtrans-splicing protein connects the nematode SL1 snRNP to the CBC-ARS2 complex. Nucleic Acids Research. 50(13). 7591–7607. 3 indexed citations
4.
Haussmann, Irmgard U., Yavor Hadzhiev, Ferenc Müller, et al.. (2022). CMTr mediated 2′-O-ribose methylation status of cap-adjacent nucleotides across animals. RNA. 28(10). 1377–1390. 9 indexed citations
5.
Müller, Berndt, et al.. (2021). SLIDR and SLOPPR: flexible identification of spliced leader trans-splicing and prediction of eukaryotic operons from RNA-Seq data. BMC Bioinformatics. 22(1). 140–140. 6 indexed citations
6.
Müller, Berndt, et al.. (2020). Resolution of polycistronic RNA by SL2 trans -splicing is a widely conserved nematode trait. RNA. 26(12). 1891–1904. 3 indexed citations
7.
McElroy, Stuart P., et al.. (2019). A high-throughput screen for the identification of compounds that inhibit nematode gene expression by targeting spliced leader trans-splicing. International Journal for Parasitology Drugs and Drug Resistance. 10. 28–37. 7 indexed citations
8.
Pettitt, Jonathan, et al.. (2014). Operons Are a Conserved Feature of Nematode Genomes. Genetics. 197(4). 1201–1211. 20 indexed citations
9.
Hardin, Jeff, et al.. (2013). Cadherins and Their Partners in the Nematode Worm Caenorhabditis elegans. Progress in molecular biology and translational science. 116. 239–262. 14 indexed citations
10.
Lynch, Allison M., et al.. (2012). A Genome-wide Functional Screen Shows MAGI-1 Is an L1CAM-Dependent Stabilizer of Apical Junctions in C. elegans. Current Biology. 22(20). 1891–1899. 33 indexed citations
11.
Harrison, Neale, et al.. (2012). Specific Conserved C-terminal Amino Acids of Caenorhabditis elegans HMP-1/α-Catenin Modulate F-actin Binding Independently of Vinculin*. Journal of Biological Chemistry. 288(8). 5694–5706. 23 indexed citations
12.
13.
McLaggan, Debbie, et al.. (2009). Rapid Sublethal Toxicity Assessment Using Bioluminescent Caenorhabditis elegans, a Novel Whole-Animal Metabolic Biosensor. Toxicological Sciences. 109(1). 88–95. 26 indexed citations
14.
Pettitt, Jonathan, Berndt Müller, Ian Stansfield, & Bernadette Connolly. (2008). Spliced leader trans -splicing in the nematode Trichinella spiralis uses highly polymorphic, noncanonical spliced leaders. RNA. 14(4). 760–770. 24 indexed citations
15.
Coudreuse, Damien, et al.. (2007). C. elegans Disabled is required for cell-type specific endocytosis and is essential in animals lacking the AP-3 adaptor complex. Journal of Cell Science. 120(15). 2741–2751. 18 indexed citations
16.
Sheffield, Mark, et al.. (2007). C. elegans Enabled Exhibits Novel Interactions with N-WASP, Abl, and Cell-Cell Junctions. Current Biology. 17(20). 1791–1796. 42 indexed citations
17.
Pettitt, Jonathan. (2005). The cadherin superfamily. WormBook. 1–9. 33 indexed citations
18.
Broadbent, Ian D. & Jonathan Pettitt. (2002). The C. elegans hmr-1 Gene Can Encode a Neuronal Classic Cadherin Involved in the Regulation of Axon Fasciculation. Current Biology. 12(1). 59–63. 52 indexed citations
19.
Hollis, Roger P., Jonathan Pettitt, A.J. Porter, et al.. (2001). Toxicity of the bacterial luciferase substrate, n‐decyl aldehyde, to Saccharomyces cerevisiae and Caenorhabditis elegans. FEBS Letters. 506(2). 140–142. 30 indexed citations
20.
Pettitt, Jonathan & I.B. Kingston. (1994). Developmentally Regulated Alternative Splicing of a Nematode Type IV Collagen Gene. Developmental Biology. 161(1). 22–29. 10 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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