Bart J. Feys

5.3k total citations · 1 hit paper
17 papers, 4.2k citations indexed

About

Bart J. Feys is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, Bart J. Feys has authored 17 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Plant Science, 5 papers in Molecular Biology and 3 papers in Insect Science. Recurrent topics in Bart J. Feys's work include Plant-Microbe Interactions and Immunity (12 papers), Plant Pathogenic Bacteria Studies (8 papers) and Plant Virus Research Studies (4 papers). Bart J. Feys is often cited by papers focused on Plant-Microbe Interactions and Immunity (12 papers), Plant Pathogenic Bacteria Studies (8 papers) and Plant Virus Research Studies (4 papers). Bart J. Feys collaborates with scholars based in United Kingdom, Germany and United States. Bart J. Feys's co-authors include Jane E. Parker, Marcel Wiermer, Louise N. Frost, Jonathan D. G. Jones, John G. Turner, Celso Eduardo Benedetti, Christopher N. Penfold, Michael J. Daniels, Anders Falk and Mark Austin and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The EMBO Journal.

In The Last Decade

Bart J. Feys

17 papers receiving 4.1k citations

Hit Papers

EDS1 , an essential component of R gene-mediated disease ... 1999 2026 2008 2017 1999 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bart J. Feys United Kingdom 15 3.9k 1.3k 542 232 138 17 4.2k
Joseph D. Clarke United States 17 3.6k 0.9× 1.5k 1.2× 251 0.5× 188 0.8× 112 0.8× 23 4.0k
Selena Giménez-Ibañez Spain 27 4.3k 1.1× 1.4k 1.1× 992 1.8× 255 1.1× 348 2.5× 33 4.6k
Darrell Desveaux Canada 41 4.0k 1.0× 1.5k 1.2× 144 0.3× 383 1.7× 71 0.5× 83 4.6k
Christophe Lacomme United Kingdom 24 2.8k 0.7× 1.6k 1.2× 243 0.4× 186 0.8× 46 0.3× 39 3.3k
John Withers United States 13 2.0k 0.5× 889 0.7× 666 1.2× 110 0.5× 240 1.7× 14 2.4k
Yuese Ning China 35 3.3k 0.8× 1.8k 1.4× 214 0.4× 524 2.3× 59 0.4× 73 3.9k
Andrea Sánchez‐Vallet Spain 28 3.7k 0.9× 1.5k 1.2× 203 0.4× 667 2.9× 151 1.1× 47 4.2k
Roger Thilmony United States 24 2.8k 0.7× 1.1k 0.8× 161 0.3× 224 1.0× 96 0.7× 46 3.2k
Pingtao Ding United Kingdom 27 4.2k 1.1× 1.4k 1.1× 162 0.3× 356 1.5× 94 0.7× 38 4.7k
Wendy E. Durrant United States 9 3.0k 0.8× 1.1k 0.8× 204 0.4× 382 1.6× 105 0.8× 9 3.3k

Countries citing papers authored by Bart J. Feys

Since Specialization
Citations

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

Fields of papers citing papers by Bart J. Feys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bart J. Feys

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

All Works

17 of 17 papers shown
1.
Gao, Zan, et al.. (2016). Peer-Reviewed Abstracts. Research Quarterly for Exercise and Sport. 87(sup2). A–8. 4 indexed citations
2.
Louis, Joe, Enrico Gobbato, Hossain Ali Mondal, et al.. (2012). Discrimination of Arabidopsis PAD4 Activities in Defense against Green Peach Aphid and Pathogens  . PLANT PHYSIOLOGY. 158(4). 1860–1872. 54 indexed citations
3.
Rietz, Steffen, Stephan Wagner, D. E. Becker, et al.. (2011). Different roles of Enhanced Disease Susceptibility1 (EDS1) bound to and dissociated from Phytoalexin Deficient4 (PAD4) in Arabidopsis immunity. New Phytologist. 191(1). 107–119. 179 indexed citations
4.
Hodge, Simon, John W. Mansfıeld, Bart J. Feys, et al.. (2009). The RAP1 Gene Confers Effective, Race-Specific Resistance to the Pea Aphid in Medicago truncatula Independent of the Hypersensitive Reaction. Molecular Plant-Microbe Interactions. 22(12). 1645–1655. 48 indexed citations
5.
Parker, Jane E., Mark Austin, Bart J. Feys, et al.. (2007). Genetic Analysis of Plant Disease Resistance Pathways. Novartis Foundation symposium. 236. 153–164. 3 indexed citations
6.
Pegadaraju, Venkatramana, Joe Louis, Vijay Singh, et al.. (2007). Phloem‐based resistance to green peach aphid is controlled by Arabidopsis PHYTOALEXIN DEFICIENT4 without its signaling partner ENHANCED DISEASE SUSCEPTIBILITY1. The Plant Journal. 52(2). 332–341. 98 indexed citations
7.
Wiermer, Marcel, Bart J. Feys, & Jane E. Parker. (2005). Plant immunity: the EDS1 regulatory node. Current Opinion in Plant Biology. 8(4). 383–389. 476 indexed citations
8.
Feys, Bart J., Marcel Wiermer, Riyaz Ahmad Bhat, et al.. (2005). Arabidopsis SENESCENCE-ASSOCIATED GENE101 Stabilizes and Signals within an ENHANCED DISEASE SUSCEPTIBILITY1 Complex in Plant Innate Immunity. The Plant Cell. 17(9). 2601–2613. 353 indexed citations
9.
Austin, Mark, Paul Muskett, Katherine Kahn, et al.. (2002). Regulatory Role of SGT1 in Early R Gene-Mediated Plant Defenses. Science. 295(5562). 2077–2080. 355 indexed citations
10.
Peart, Jack, Graeme Cook, Bart J. Feys, Jane E. Parker, & David C. Baulcombe. (2002). An EDS1 orthologue is required for N‐mediated resistance against tobacco mosaic virus. The Plant Journal. 29(5). 569–579. 158 indexed citations
11.
Clarke, Joseph D., et al.. (2001). Constitutive disease resistance requires EDS1 in the Arabidopsis mutants cpr1 and cpr6 and is partially EDS1‐dependent in cpr5. The Plant Journal. 26(4). 409–420. 92 indexed citations
12.
Feys, Bart J.. (2001). Direct interaction between the Arabidopsis disease resistance signaling proteins, EDS1 and PAD4. The EMBO Journal. 20(19). 5400–5411. 480 indexed citations
13.
Feys, Bart J. & Jane E. Parker. (2000). Interplay of signaling pathways in plant disease resistance. Trends in Genetics. 16(10). 449–455. 404 indexed citations
14.
Parker, Jane E., Bart J. Feys, Erik A. van der Biezen, et al.. (2000). Unravelling R gene‐mediated disease resistance pathways in Arabidopsis. Molecular Plant Pathology. 1(1). 17–24. 29 indexed citations
15.
Jirage, Dayadevi, Tina L. Tootle, T. Lynne Reuber, et al.. (1999). Arabidopsis thaliana PAD4 encodes a lipase-like gene that is important for salicylic acid signaling. Proceedings of the National Academy of Sciences. 96(23). 13583–13588. 488 indexed citations
16.
Falk, Anders, Bart J. Feys, Louise N. Frost, et al.. (1999). EDS1 , an essential component of R gene-mediated disease resistance in Arabidopsis has homology to eukaryotic lipases. Proceedings of the National Academy of Sciences. 96(6). 3292–3297. 510 indexed citations breakdown →
17.
Feys, Bart J., Celso Eduardo Benedetti, Christopher N. Penfold, & John G. Turner. (1994). Arabidopsis Mutants Selected for Resistance to the Phytotoxin Coronatine Are Male Sterile, Insensitive to Methyl Jasmonate, and Resistant to a Bacterial Pathogen. The Plant Cell. 6(5). 751–751. 462 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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