Jonathan J. Ewbank

9.9k total citations · 1 hit paper
90 papers, 6.6k citations indexed

About

Jonathan J. Ewbank is a scholar working on Aging, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Jonathan J. Ewbank has authored 90 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Aging, 44 papers in Molecular Biology and 18 papers in Endocrine and Autonomic Systems. Recurrent topics in Jonathan J. Ewbank's work include Genetics, Aging, and Longevity in Model Organisms (59 papers), Circadian rhythm and melatonin (18 papers) and CRISPR and Genetic Engineering (11 papers). Jonathan J. Ewbank is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (59 papers), Circadian rhythm and melatonin (18 papers) and CRISPR and Genetic Engineering (11 papers). Jonathan J. Ewbank collaborates with scholars based in France, United States and Germany. Jonathan J. Ewbank's co-authors include Nathalie Pujol, C. Léopold Kurz, Carole Couillault, Thomas E. Creighton, Hinrich Schulenburg, Olivier Zugasti, Elizabeth Pradel, Yuji Kohara, Jérôme Reboul and Daniel Wong and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Jonathan J. Ewbank

88 papers receiving 6.5k citations

Hit Papers

A Model of Bacterial Intestinal Infections in Drosophila ... 2007 2026 2013 2019 2007 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan J. Ewbank France 43 3.3k 3.0k 1.0k 946 832 90 6.6k
Man‐Wah Tan United States 35 2.1k 0.6× 2.9k 1.0× 682 0.7× 578 0.6× 381 0.5× 60 5.8k
Emily R. Troemel United States 35 3.0k 0.9× 2.0k 0.7× 1.2k 1.2× 371 0.4× 700 0.8× 70 5.2k
Raffi V. Aroian United States 40 1.5k 0.5× 2.9k 1.0× 416 0.4× 432 0.5× 1.2k 1.4× 89 5.3k
Nathalie Pujol France 27 2.2k 0.7× 1.4k 0.5× 781 0.8× 464 0.5× 325 0.4× 61 3.4k
Alejandro Aballay United States 31 2.0k 0.6× 1.4k 0.5× 684 0.7× 364 0.4× 205 0.2× 78 3.6k
Thomas Blumenthal United States 46 2.8k 0.8× 5.5k 1.8× 462 0.5× 245 0.3× 244 0.3× 156 7.9k
C. Léopold Kurz France 20 1.4k 0.4× 1.0k 0.3× 381 0.4× 517 0.5× 447 0.5× 28 2.7k
Ravi S. Kamath United States 24 8.5k 2.5× 8.2k 2.7× 2.1k 2.1× 281 0.3× 290 0.3× 32 13.4k
Dan T. Stinchcomb United States 39 2.9k 0.9× 6.1k 2.0× 825 0.8× 313 0.3× 155 0.2× 60 9.5k
Marie‐Anne Félix France 39 3.0k 0.9× 2.9k 1.0× 695 0.7× 127 0.1× 684 0.8× 96 6.3k

Countries citing papers authored by Jonathan J. Ewbank

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan J. Ewbank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan J. Ewbank

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan J. Ewbank. A scholar is included among the top collaborators of Jonathan J. Ewbank 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 J. Ewbank. Jonathan J. Ewbank 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.
Zhang, Xing, et al.. (2021). Antagonistic fungal enterotoxins intersect at multiple levels with host innate immune defences. PLoS Genetics. 17(6). e1009600–e1009600. 9 indexed citations
3.
Omi, Shizue, Nishant Thakur, Clara Taffoni, et al.. (2018). Modulatory upregulation of an insulin peptide gene by different pathogens in C. elegans. Virulence. 9(1). 648–658. 19 indexed citations
4.
Polanowska, Jolanta, Jia‐Xuan Chen, Shizue Omi, et al.. (2018). Evolutionary plasticity in the innate immune function of Akirin. PLoS Genetics. 14(7). e1007494–e1007494. 31 indexed citations
5.
Lebrigand, Kévin, Le He, Nishant Thakur, et al.. (2016). Comparative Genomic Analysis of Drechmeria coniospora Reveals Core and Specific Genetic Requirements for Fungal Endoparasitism of Nematodes. PLoS Genetics. 12(5). e1006017–e1006017. 32 indexed citations
6.
Couillault, Carole, Serge Monneret, Sébastien Mailfert, et al.. (2014). Independent Synchronized Control and Visualization of Interactions between Living Cells and Organisms. Biophysical Journal. 106(10). 2096–2104. 19 indexed citations
7.
Tong, Amy H.Y., Daniel Wong, Sarah Moseley, et al.. (2009). Negative regulation of Caenorhabditis elegans epidermal damage responses by death-associated protein kinase. Proceedings of the National Academy of Sciences. 106(5). 1457–1461. 62 indexed citations
8.
Ewbank, Jonathan J.. (2009). Innate immunity in C. elegans. ˜The œbiomedical & life sciences collection.. 2009(7). e1002054–e1002054. 2 indexed citations
9.
Garvis, Steve, Antje Munder, Geneviève Ball, et al.. (2009). Caenorhabditis elegans Semi-Automated Liquid Screen Reveals a Specialized Role for the Chemotaxis Gene cheB2 in Pseudomonas aeruginosa Virulence. PLoS Pathogens. 5(8). e1000540–e1000540. 83 indexed citations
10.
Ewbank, Jonathan J. & Éric Vivier. (2008). Innate Immunity. Humana Press eBooks. 7 indexed citations
11.
Wong, Daniel, Daphne Bazopoulou, Nathalie Pujol, Nektarios Tavernarakis, & Jonathan J. Ewbank. (2007). Genome-wide investigation reveals pathogen-specific and shared signatures in the response of Caenorhabditis elegansto infection. Genome biology. 8(9). R194–R194. 166 indexed citations
12.
Nehme, Nadine T., Samuel Liégeois, Beatrix Kele, et al.. (2007). A Model of Bacterial Intestinal Infections in Drosophila melanogaster. PLoS Pathogens. 3(11). e173–e173. 281 indexed citations breakdown →
13.
Schulenburg, Hinrich & Jonathan J. Ewbank. (2007). The genetics of pathogen avoidance inCaenorhabditis elegans. Molecular Microbiology. 66(3). 563–570. 73 indexed citations
14.
Kurz, C. Léopold & Jonathan J. Ewbank. (2006). Infection in a dish: high-throughput analyses of bacterial pathogenesis. Current Opinion in Microbiology. 10(1). 10–16. 54 indexed citations
15.
Pujol, Nathalie, Leo X. Liu, C. Léopold Kurz, et al.. (2006). A Reverse Genetic Analysis of Components of the Toll Signaling Pathway in Caenorhabditis elegans. Current Biology. 16(14). 1477–1477. 2 indexed citations
16.
Schulenburg, Hinrich & Jonathan J. Ewbank. (2004). Diversity and specificity in the interaction between Caenorhabditis elegans and the pathogen Serratia marcescens. BMC Evolutionary Biology. 4(1). 49–49. 115 indexed citations
18.
Ewbank, Jonathan J.. (2003). Le nématode Caenorhabditis elegans, un modèle d’étude pour les interactions hôte-bactéries pathogènes. Journal de la Société de Biologie. 197(4). 375–378. 3 indexed citations
19.
Hekimi, Siegfried, Bernard Lakowski, Thomas M. Barnes, & Jonathan J. Ewbank. (1998). Molecular genetics of life span in C. elegans: How much does it teach us?. Trends in Genetics. 14(1). 14–20. 90 indexed citations
20.
Ewbank, Jonathan J. & Thomas E. Creighton. (1991). The molten globule protein conformation probed by disulphide bonds. Nature. 350(6318). 518–520. 129 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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