J. Kervella

1.7k total citations
44 papers, 1.2k citations indexed

About

J. Kervella is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, J. Kervella has authored 44 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 13 papers in Ecology, Evolution, Behavior and Systematics and 7 papers in Molecular Biology. Recurrent topics in J. Kervella's work include Plant Physiology and Cultivation Studies (24 papers), Horticultural and Viticultural Research (12 papers) and Postharvest Quality and Shelf Life Management (9 papers). J. Kervella is often cited by papers focused on Plant Physiology and Cultivation Studies (24 papers), Horticultural and Viticultural Research (12 papers) and Postharvest Quality and Shelf Life Management (9 papers). J. Kervella collaborates with scholars based in France, Morocco and China. J. Kervella's co-authors include Thierry Pascal, Marie‐Hélène Sauge, Marie Foulongne‐Oriol, Michel M. Génard, Michel Génard, Françoise Lescourret, Frédéric Pfeiffer, Benhong Wu, Elisabeth Dirlewanger and Loïc Pagès and has published in prestigious journals such as Journal of Experimental Botany, Oikos and Theoretical and Applied Genetics.

In The Last Decade

J. Kervella

42 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Kervella France 21 1.1k 305 251 192 146 44 1.2k
José X. Chaparro United States 20 801 0.7× 401 1.3× 95 0.4× 105 0.5× 169 1.2× 85 1.1k
N. Kedar Israel 20 1.4k 1.3× 447 1.5× 150 0.6× 84 0.4× 53 0.4× 67 1.6k
Régis Courtecuisse France 17 904 0.8× 197 0.6× 221 0.9× 310 1.6× 491 3.4× 45 1.2k
Joseph C. Goffreda United States 16 792 0.7× 242 0.8× 219 0.9× 199 1.0× 183 1.3× 42 917
S. Gazit Israel 21 993 0.9× 386 1.3× 188 0.7× 225 1.2× 71 0.5× 69 1.2k
R. Scorza United States 24 1.4k 1.3× 1.1k 3.4× 84 0.3× 115 0.6× 252 1.7× 85 1.7k
Phillip A. Wadl United States 16 730 0.7× 350 1.1× 122 0.5× 142 0.7× 164 1.1× 96 1.0k
Jonathan R. Schultheis United States 18 919 0.8× 179 0.6× 173 0.7× 168 0.9× 47 0.3× 113 1.1k
Daniela Torello Marinoni Italy 18 749 0.7× 279 0.9× 81 0.3× 103 0.5× 152 1.0× 78 1.1k
Sung‐Chur Sim South Korea 24 1.6k 1.4× 541 1.8× 83 0.3× 121 0.6× 118 0.8× 63 1.8k

Countries citing papers authored by J. Kervella

Since Specialization
Citations

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

Fields of papers citing papers by J. Kervella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Kervella

This figure shows the co-authorship network connecting the top 25 collaborators of J. Kervella. A scholar is included among the top collaborators of J. Kervella 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 J. Kervella. J. Kervella 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.
Kervella, J., et al.. (2010). Powdery Mildew Resistance in the Peach Cultivar Pamirskij 5 Is Genetically Linked with the Gr Gene for Leaf Color. HortScience. 45(1). 150–152. 15 indexed citations
2.
Decroocq, Véronique, Marie Foulongne‐Oriol, P. Lambert, et al.. (2005). Analogues of virus resistance genes map to QTLs for resistance to sharka disease in Prunus davidiana. Molecular Genetics and Genomics. 272(6). 680–689. 69 indexed citations
3.
Génard, Michel, et al.. (2005). Simulating genotypic variation of fruit quality in an advanced peach×Prunus davidiana cross. Journal of Experimental Botany. 56(422). 3071–3081. 33 indexed citations
4.
Kervella, J., et al.. (2005). Analysing the genetic control of peach fruit quality through an ecophysiological model combined with a QTL approach. Journal of Experimental Botany. 56(422). 3083–3092. 89 indexed citations
5.
Wu, Benhong, et al.. (2004). QTL analysis of quality traits in an advanced backcross between Prunus persica cultivars and the wild relative species P. davidiana. Theoretical and Applied Genetics. 109(4). 884–897. 141 indexed citations
6.
Génard, Michel M., et al.. (2004). Analysis of genotypic variation in fruit flesh total sugar content via an ecophysiological model applied to peach. Theoretical and Applied Genetics. 109(2). 440–449. 38 indexed citations
7.
Foulongne‐Oriol, Marie, et al.. (2004). GENETIC RELATIONSHIPS BETWEEN PEACH (PRUNUS PERSICA (L.) BATSCH) AND CLOSELY RELATED WILD SPECIES USING SSR MARKERS. Acta Horticulturae. 629–634. 3 indexed citations
8.
Moing, Annick, et al.. (2003). Biochemical Basis of Low Fruit Quality of Prunus davidiana, a Pest and Disease Resistance Donor for Peach Breeding. Journal of the American Society for Horticultural Science. 128(1). 55–62.
9.
Wu, Benhong, et al.. (2003). Relationship between skin speckle, soluble solids content and transpiration rate in nectarines. European Journal of Horticultural Science. 83–85. 8 indexed citations
10.
Foulongne‐Oriol, Marie, Thierry Pascal, Pere Arús, & J. Kervella. (2003). The potential of Prunus davidiana for introgression into peach [Prunus persica (L.) Batsch] assessed by comparative mapping. Theoretical and Applied Genetics. 107(2). 227–238. 40 indexed citations
11.
Kervella, J., et al.. (2003). Shape, mass and dry matter content of peaches of varieties with different domestication levels. Scientia Horticulturae. 99(3-4). 387–393. 15 indexed citations
12.
Pascal, Thierry, Frédéric Pfeiffer, & J. Kervella. (2002). PRELIMINARY OBSERVATIONS ON THE RESISTANCE TO SHARKA IN PEACH AND RELATED SPECIES. Acta Horticulturae. 699–704. 20 indexed citations
13.
14.
Etienne, Christelle, Elisabeth Dirlewanger, Patrick Cosson, et al.. (2002). QTLS AND GENES CONTROLLING PEACH FRUIT QUALITY. Acta Horticulturae. 253–258. 3 indexed citations
15.
Génard, Michel, Loic L. Pagès, & J. Kervella. (1998). A carbon balance model of peach tree growth and development for studying the pruning response. Tree Physiology. 18(6). 351–362. 34 indexed citations
16.
Kervella, J., Thierry Pascal, Frédéric Pfeiffer, & Elisabeth Dirlewanger. (1998). BREEDING FOR MULTIRESISTANCE IN PEACH TREE. Acta Horticulturae. 177–184. 17 indexed citations
17.
18.
Viruel, M.A., Delphine Madur, Elisabeth Dirlewanger, Thierry Pascal, & J. Kervella. (1998). MAPPING QUANTITATIVE TRAIT LOCI CONTROLLING PEACH LEAF CURL RESISTANCE.. Acta Horticulturae. 79–88. 14 indexed citations
19.
Dirlewanger, Elisabeth, et al.. (1996). Analysis of molecular markers associated with powdery mildew resistance genes in peach (Prunus persica (L.) Batsch)xPrunus davidiana hybrids. Theoretical and Applied Genetics. 93-93(5-6). 909–919. 47 indexed citations
20.
Kervella, J., et al.. (1992). A theoretical study of the bulk breeding method. Euphytica. 60(3). 185–195. 6 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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