Carol E. Jenner

2.6k total citations
28 papers, 1.4k citations indexed

About

Carol E. Jenner is a scholar working on Plant Science, Endocrinology and Insect Science. According to data from OpenAlex, Carol E. Jenner has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 17 papers in Endocrinology and 6 papers in Insect Science. Recurrent topics in Carol E. Jenner's work include Plant Virus Research Studies (24 papers), Plant and Fungal Interactions Research (17 papers) and Plant Disease Resistance and Genetics (12 papers). Carol E. Jenner is often cited by papers focused on Plant Virus Research Studies (24 papers), Plant and Fungal Interactions Research (17 papers) and Plant Disease Resistance and Genetics (12 papers). Carol E. Jenner collaborates with scholars based in United Kingdom, United States and Japan. Carol E. Jenner's co-authors include John A. Walsh, F Ponz, Kazusato Ohshima, Kenta Tomimura, Xiaowu Wang, J. A. Walsh, Adrian J. Gibbs, Flora Sánchez, Derek J. Lydiate and Gary D. Foster and has published in prestigious journals such as The Plant Journal, Molecular Ecology and Virology.

In The Last Decade

Carol E. Jenner

28 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carol E. Jenner United Kingdom 19 1.4k 484 229 146 59 28 1.4k
Catherine Wipf‐Scheibel France 16 812 0.6× 295 0.6× 225 1.0× 89 0.6× 39 0.7× 38 828
Laurence Svanella-Dumas France 13 821 0.6× 385 0.8× 133 0.6× 134 0.9× 25 0.4× 41 853
John A. Walsh United Kingdom 24 1.8k 1.3× 722 1.5× 358 1.6× 257 1.8× 85 1.4× 52 1.9k
J. Syller Poland 15 745 0.5× 216 0.4× 266 1.2× 77 0.5× 36 0.6× 31 781
Fabrizio Cillo Italy 15 1.0k 0.8× 283 0.6× 169 0.7× 311 2.1× 25 0.4× 36 1.1k
Hervé Lecoq France 16 675 0.5× 243 0.5× 185 0.8× 121 0.8× 59 1.0× 33 707
Kenta Tomimura Japan 16 1.4k 1.0× 374 0.8× 394 1.7× 84 0.6× 20 0.3× 28 1.4k
Sylvie Dallot France 16 770 0.6× 312 0.6× 191 0.8× 96 0.7× 22 0.4× 37 804
Monique Beuve France 16 642 0.5× 389 0.8× 288 1.3× 82 0.6× 20 0.3× 30 678
S. S. Pappu United States 17 837 0.6× 309 0.6× 240 1.0× 139 1.0× 18 0.3× 36 879

Countries citing papers authored by Carol E. Jenner

Since Specialization
Citations

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

Fields of papers citing papers by Carol E. Jenner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol E. Jenner. 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 Carol E. Jenner. The network helps show where Carol E. Jenner may publish in the future.

Co-authorship network of co-authors of Carol E. Jenner

This figure shows the co-authorship network connecting the top 25 collaborators of Carol E. Jenner. A scholar is included among the top collaborators of Carol E. Jenner 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 Carol E. Jenner. Carol E. Jenner 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.
Hackenberg, Dieter, Adam Baker, Peter Glen Walley, et al.. (2019). Identification and QTL mapping of resistance to Turnip yellows virus (TuYV) in oilseed rape, Brassica napus. Theoretical and Applied Genetics. 133(2). 383–393. 18 indexed citations
2.
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Jenner, Carol E., Charlotte F. Nellist, Guy C. Barker, & John A. Walsh. (2010). Turnip mosaic virus (TuMV) Is Able to Use Alleles of Both eIF4E and eIF(iso)4E from Multiple Loci of the Diploid Brassica rapa. Molecular Plant-Microbe Interactions. 23(11). 1498–1505. 40 indexed citations
5.
Sánchez, Flora, Juan Manuel del Fresno, C. Gómez-Campo, et al.. (2007). Identification of new isolates of Turnip mosaic virus that cluster with less common viral strains. Archives of Virology. 152(6). 1061–1068. 10 indexed citations
6.
Tomimura, Kenta, Josef Špak, Carol E. Jenner, et al.. (2004). Comparisons of the genetic structure of populations of Turnip mosaic virus in West and East Eurasia. Virology. 330(2). 408–423. 73 indexed citations
7.
Tomimura, Kenta, Adrian J. Gibbs, Carol E. Jenner, John A. Walsh, & Kazusato Ohshima. (2003). The phylogeny ofTurnip mosaic virus; comparisons of 38 genomic sequences reveal a Eurasian origin and a recent ‘emergence’ in east Asia. Molecular Ecology. 12(8). 2099–2111. 83 indexed citations
8.
Sánchez, Flora, Xifeng Wang, Carol E. Jenner, J. A. Walsh, & F Ponz. (2003). Strains of Turnip mosaic potyvirus as defined by the molecular analysis of the coat protein gene of the virus. Virus Research. 94(1). 33–43. 40 indexed citations
9.
Lehmann, P., et al.. (2003). Coat protein-mediated resistance to Turnip mosaic virus in oilseed rape (Brassica napus). Molecular Breeding. 11(2). 83–94. 12 indexed citations
10.
Jenner, Carol E., Xiaowu Wang, Kenta Tomimura, et al.. (2003). The Dual Role of the Potyvirus P3 Protein ofTurnip mosaic virusas a Symptom and Avirulence Determinant in Brassicas. Molecular Plant-Microbe Interactions. 16(9). 777–784. 114 indexed citations
11.
Jenner, Carol E., Xiaowu Wang, F Ponz, & John A. Walsh. (2002). A fitness cost for Turnip mosaic virus to overcome host resistance. Virus Research. 86(1-2). 1–6. 90 indexed citations
12.
Walsh, John A. & Carol E. Jenner. (2002). Turnip mosaic virus and the quest for durable resistance. Molecular Plant Pathology. 3(5). 289–300. 155 indexed citations
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Walsh, John A., et al.. (2002). Different Classes of Resistance to Turnip Mosaic Virus in Brassica rapa. European Journal of Plant Pathology. 108(1). 15–20. 48 indexed citations
15.
Jenner, Carol E., et al.. (2000). The Cylindrical Inclusion Gene of Turnip mosaic virus Encodes a Pathogenic Determinant to the Brassica Resistance Gene TuRB01. Molecular Plant-Microbe Interactions. 13(10). 1102–1108. 96 indexed citations
16.
Jenner, Carol E., et al.. (2000). An unusual isolate of turnip mosaic potyvirus fromAbutilon theophrasti in Piedmont, Italy. Phytoparasitica. 28(2). 149–152. 4 indexed citations
17.
Walsh, John A., Andrew Sharpe, Carol E. Jenner, & Derek J. Lydiate. (1999). Characterisation of resistance to turnip mosaic virus in oilseed rape (Brassica napus) and genetic mapping of TuRB01. Theoretical and Applied Genetics. 99(7-8). 1149–1154. 64 indexed citations
18.
Jenner, Carol E., et al.. (1997). Expression of avrPphB, an Avirulence Gene from Pseudomonas syringae pv. phaseolicola, and the Delivery of Signals Causing the Hypersensitive Reaction in Bean. Molecular Plant-Microbe Interactions. 10(2). 247–256. 78 indexed citations
19.
Lehmann, P., et al.. (1996). Genetically engineered protection against turnip mosaic virus infection in transgenic oilseed rape [Brassica napus var.oleifera]. Journal of Applied Genetics. 6 indexed citations
20.
Jenner, Carol E., et al.. (1989). Determinant of cultivar specific avirulence cloned from Pseudomonas syringae pv. phaseolicola race 3. Physiological and Molecular Plant Pathology. 34(4). 309–322. 14 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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