J. W. Schut

736 total citations
20 papers, 454 citations indexed

About

J. W. Schut is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, J. W. Schut has authored 20 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 4 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in J. W. Schut's work include Plant Pathogens and Resistance (9 papers), Plant-Microbe Interactions and Immunity (4 papers) and Plant Pathogens and Fungal Diseases (4 papers). J. W. Schut is often cited by papers focused on Plant Pathogens and Resistance (9 papers), Plant-Microbe Interactions and Immunity (4 papers) and Plant Pathogens and Fungal Diseases (4 papers). J. W. Schut collaborates with scholars based in United States, Czechia and Netherlands. J. W. Schut's co-authors include P. Stam, Xiaoquan Qi, María José Truco, Richard W. Michelmore, A. Lebeda, Kent J. Bradford, David Pink, R. van Treuren, T.J.L. van Hintum and Leah K. McHale and has published in prestigious journals such as The Plant Journal, Theoretical and Applied Genetics and Molecular Plant-Microbe Interactions.

In The Last Decade

J. W. Schut

20 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. W. Schut United States	9	404	116	114	46	32	20	454
Marieke Jeuken Netherlands	13	662 1.6×	165 1.4×	160 1.4×	76 1.7×	37 1.2×	20	713
Brigitte Uwimana Uganda	16	521 1.3×	89 0.8×	153 1.3×	44 1.0×	30 0.9×	34	569
Shiveta Sharma India	11	480 1.2×	131 1.1×	146 1.3×	26 0.6×	24 0.8×	20	527
Hikaru Tsukazaki Japan	13	742 1.8×	72 0.6×	279 2.4×	24 0.5×	33 1.0×	39	793
Tadayuki Wako Japan	13	421 1.0×	109 0.9×	77 0.7×	20 0.4×	31 1.0×	46	473
F. Fusari Italy	6	314 0.8×	140 1.2×	84 0.7×	32 0.7×	18 0.6×	7	373
Iovanna Pandelova United States	11	432 1.1×	34 0.3×	162 1.4×	122 2.7×	42 1.3×	18	527
Yang Bian United States	8	394 1.0×	186 1.6×	128 1.1×	53 1.2×	6 0.2×	10	460
Jon Duvick United States	7	436 1.1×	77 0.7×	350 3.1×	49 1.1×	19 0.6×	9	544
Chonglai Bao China	12	384 1.0×	60 0.5×	277 2.4×	16 0.3×	11 0.3×	29	466

Countries citing papers authored by J. W. Schut

Since Specialization

Citations

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

Fields of papers citing papers by J. W. Schut

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. W. Schut

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

All Works

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20 of 20 papers shown

Huo, Heqiang, Isabelle Henry, Eric R. Coppoolse, et al.. (2016). Rapid identification of lettuce seed germination mutants by bulked segregant analysis and whole genome sequencing. The Plant Journal. 88(3). 345–360. 35 indexed citations

Maisonneuve, Brigitte, A. Lebeda, J. W. Schut, et al.. (2016). Rationalization of genes for resistance to Bremia lactucae in lettuce. Euphytica. 210(3). 309–326. 54 indexed citations

McHale, Leah K., María José Truco, Howard W. Hilton, et al.. (2013). An intra-specific linkage map of lettuce (Lactuca sativa) and genetic analysis of postharvest discolouration traits. Theoretical and Applied Genetics. 126(11). 2737–2752. 21 indexed citations

Stassen, Joost, Erik Böer, Annemiek Andel, et al.. (2013). Specific In Planta Recognition of Two GKLR Proteins of the Downy Mildew Bremia lactucae Revealed in a Large Effector Screen in Lettuce. Molecular Plant-Microbe Interactions. 26(11). 1259–1270. 29 indexed citations

Treuren, R. van, et al.. (2011). Distribution of downy mildew (Bremia lactucaeRegel) resistances in a genebank collection of lettuce and its wild relatives. Plant Genetic Resources. 11(1). 15–25. 28 indexed citations

Argyris, Jason, María José Truco, O. Ochoa, et al.. (2005). Quantitative trait loci associated with seed and seedling traits in Lactuca. Theoretical and Applied Genetics. 111(7). 1365–1376. 67 indexed citations

Williams, Frances M. K., M. R. Davey, J. B. Power, et al.. (2003). Chicory (Cichorium intybus L.) expressing the lol1 gene exhibits inhibition of ice recrystallisation.. 137–142. 2 indexed citations

Peleman, J., Jeroen Rouppe van der Voort, T.J.L. van Hintum, et al.. (2003). The challenges in Marker Assisted Breeding. 125–130. 7 indexed citations

Ryder, Edward J., Rebecca C. Grube, Krishna V. Subbarao, et al.. (2003). Breeding for resistance to diseases in lettuce: successes and challenges. 25–30. 4 indexed citations

10.

Proft, M. De, et al.. (2003). Breeding and cultivar identification of Cichorium intybus L. var. foliosum Hegi. 83–90. 5 indexed citations

11.

Lebeda, A., Michaela Sedlářová, T.J.L. van Hintum, David Pink, & J. W. Schut. (2003). Cellular mechanisms involved in the expression of specificity in Lactuca spp. - Bremia lactucae interactions. 55–60. 2 indexed citations

12.

Muminović, J., Albrecht E. Melchinger, Thomas Lübberstedt, et al.. (2003). Genetic diversity within lamb's lettuce (Valerianella locusta L.) and across related species determined by AFLP markers. 91–97. 3 indexed citations

13.

Grube, Rebecca C., Edward J. Ryder, S. T. Koike, et al.. (2003). Breeding for resistance to new and emerging lettuce diseases in California.. 37–42. 5 indexed citations

14.

Michelmore, Richard W., Alexander Kozik, María José Truco, et al.. (2003). ESTs and candidate gene approaches in the Compositae Genome Project. 131–136. 2 indexed citations

15.

Correll, James C., Brian M. Irish, S. T. Koike, et al.. (2003). Update on downy mildew and white rust on spinach in the United States. 49–54. 3 indexed citations

16.

Hintum, T.J.L. van, et al.. (2003). The possibility of Nasonovia ribisnigri resistance breaking biotype development due to plant host resistance: a literature study. 75–81. 10 indexed citations

17.

Hand, Paul, N. B. Kift, James R. Lynn, et al.. (2003). Progress towards mapping QTLs for pest and disease resistance in lettuce.. 31–35. 8 indexed citations

18.

Hintum, T.J.L. van, A. Lebeda, David Pink, & J. W. Schut. (2003). Eucarpia Leafy Vegetables 2003, Proceedings of the Eucarpia Meeting on Leafy Vegetables Genetics and Breeding, Noordwijkerhout, The Netherlands, 19-21 March 2003. Socio-Environmental Systems Modeling. 7 indexed citations

19.

Schut, J. W., et al.. (2000). Prediction of barley progeny performance in the presence of genotype environment interaction. Plant Breeding. 119(1). 47–50. 4 indexed citations

20.

Schut, J. W., Xiaoquan Qi, & P. Stam. (1997). Association between relationship measures based on AFLP markers, pedigree data and morphological traits in barley. Theoretical and Applied Genetics. 95(7). 1161–1168. 158 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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