J. Peleman

4.1k total citations
49 papers, 3.0k citations indexed

About

J. Peleman is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, J. Peleman has authored 49 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Plant Science, 20 papers in Genetics and 14 papers in Molecular Biology. Recurrent topics in J. Peleman's work include Genetic Mapping and Diversity in Plants and Animals (16 papers), Plant Virus Research Studies (11 papers) and Plant Disease Resistance and Genetics (9 papers). J. Peleman is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (16 papers), Plant Virus Research Studies (11 papers) and Plant Disease Resistance and Genetics (9 papers). J. Peleman collaborates with scholars based in Netherlands, United States and Belgium. J. Peleman's co-authors include Jeroen Rouppe van der Voort, Marc Van Montagu, Dirk Inzé, Marnik Vuylsteke, Gilbert Engler, Wout Boerjan, Crispin Wye, Jef Seurinck, Thierry Alliotte and P. Lindhout and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and The Plant Cell.

In The Last Decade

J. Peleman

48 papers receiving 2.8k 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. Peleman Netherlands 29 2.4k 901 894 179 145 49 3.0k
Aurélie Berard France 28 2.4k 1.0× 1.2k 1.3× 968 1.1× 292 1.6× 129 0.9× 44 2.9k
Gordon C. Machray United Kingdom 16 2.0k 0.8× 897 1.0× 852 1.0× 325 1.8× 203 1.4× 30 2.7k
Julapark Chunwongse Thailand 15 2.8k 1.2× 939 1.0× 814 0.9× 62 0.3× 238 1.6× 34 3.2k
Richard C. Pratt United States 22 1.6k 0.7× 398 0.4× 584 0.7× 103 0.6× 159 1.1× 68 2.0k
K. J. Chalmers Australia 36 3.1k 1.3× 748 0.8× 1.5k 1.7× 131 0.7× 120 0.8× 77 3.8k
M. Bonierbale United States 17 3.3k 1.3× 1.0k 1.1× 929 1.0× 490 2.7× 249 1.7× 33 3.7k
Takashige Ishii Japan 27 3.6k 1.5× 879 1.0× 2.3k 2.5× 149 0.8× 134 0.9× 81 4.0k
Allen Van Deynze United States 36 3.4k 1.4× 1.6k 1.8× 843 0.9× 388 2.2× 165 1.1× 84 4.3k
Alexander Kozik United States 23 2.9k 1.2× 1.4k 1.6× 585 0.7× 61 0.3× 195 1.3× 36 3.6k
James R. McFerson United States 23 1.8k 0.8× 664 0.7× 393 0.4× 94 0.5× 263 1.8× 72 2.1k

Countries citing papers authored by J. Peleman

Since Specialization
Citations

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

Fields of papers citing papers by J. Peleman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of J. Peleman. A scholar is included among the top collaborators of J. Peleman 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. Peleman. J. Peleman 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.
Ajmone‐Marsan, Paolo, C. Gorni, E. Milanesi, et al.. (2008). Assessment of AFLP® marker behaviour in enriching STS radiation hybrid maps. Animal Genetics. 39(4). 383–394. 1 indexed citations
2.
Truco, María José, Rudie Antonise, Dean Lavelle, et al.. (2007). A high-density, integrated genetic linkage map of lettuce (Lactuca spp.). Theoretical and Applied Genetics. 115(6). 735–46. 89 indexed citations
3.
Vuylsteke, Marnik, et al.. (2007). AFLP technology for DNA fingerprinting. Nature Protocols. 2(6). 1387–1398. 66 indexed citations
4.
Vuylsteke, Marnik, et al.. (2007). AFLP-based transcript profiling (cDNA-AFLP) for genome-wide expression analysis. Nature Protocols. 2(6). 1399–1413. 104 indexed citations
5.
Schrag, Tobias A., Hans Peter Maurer, Albrecht E. Melchinger, et al.. (2007). Prediction of single-cross hybrid performance in maize using haplotype blocks associated with QTL for grain yield. Theoretical and Applied Genetics. 114(8). 1345–1355. 25 indexed citations
6.
Sørensen, A., et al.. (2005). Haplotype diversity: the link between statistical and biological association. Trends in Plant Science. 10(10). 466–471. 36 indexed citations
7.
Jansen, J., Henk Verbakel, J. Peleman, & T.J.L. van Hintum. (2005). A note on the measurement of genetic diversity within genebank accessions of lettuce (Lactuca sativa L.) using AFLP markers. Theoretical and Applied Genetics. 112(3). 554–561. 17 indexed citations
8.
Bakker, Erin, Ute Achenbach, J. Bakker, et al.. (2004). A high-resolution map of the H1 locus harbouring resistance to the potato cyst nematode Globodera rostochiensis. Theoretical and Applied Genetics. 109(1). 146–152. 63 indexed citations
9.
Gorni, C., J. L. Williams, H.C.M. Heuven, et al.. (2004). Application of AFLP® technology to radiation hybrid mapping. Chromosome Research. 12(3). 285–297. 9 indexed citations
10.
Plastow, Graham, et al.. (2003). Utilization of aflpâ for genetic distance analysisin pigs. Archivos de Zootecnia. 52(198). 157–164. 1 indexed citations
11.
Lefèbvre, Véronique, A.M. Daubèze, Jeroen Rouppe van der Voort, et al.. (2003). QTLs for resistance to powdery mildew in pepper under natural and artificial infections. Theoretical and Applied Genetics. 107(4). 661–666. 26 indexed citations
12.
Peleman, J. & Jeroen Rouppe van der Voort. (2003). Breeding by Design. Trends in Plant Science. 8(7). 330–334. 277 indexed citations
13.
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
14.
Bradeen, James M., Jack E. Staub, Crispin Wye, Rudie Antonise, & J. Peleman. (2001). Towards an expanded and integrated linkage map of cucumber (<i>Cucumis sativus</i> L.). Genome. 44(1). 111–119. 61 indexed citations
15.
Triantaphyllidis, George, Godelieve Criel, Theodore J. Abatzopoulos, et al.. (1997). International Study on Artemia . LVII. Morphological and molecular characters suggest conspecificity of all bisexual European and North African Artemia populations. Marine Biology. 129(3). 477–487. 76 indexed citations
16.
Cervera, M., Jaqueline Gusmão, J. Peleman, et al.. (1996). Identification of AFLP molecular markers for resistance against Melampsora larici-populina in Populus. Theoretical and Applied Genetics. 93-93(5-6). 733–737. 122 indexed citations
17.
Meksem, Khalid, Dario Leister, J. Peleman, et al.. (1995). A high-resolution map of the vicinity of the R1 locus on chromosome V of potato based on RFLP and AFLP markers. Molecular and General Genetics MGG. 249(1). 74–81. 166 indexed citations
18.
Peleman, J., Wout Boerjan, Gilbert Engler, et al.. (1989). Strong cellular preference in the expression of a housekeeping gene of Arabidopsis thaliana encoding S-adenosylmethionine synthetase.. The Plant Cell. 1(1). 81–93. 213 indexed citations
19.
Alliotte, Thierry, C. Tiré, Gilbert Engler, et al.. (1989). An Auxin-Regulated Gene of Arabidopsis thaliana Encodes a DNA-Binding Protein. PLANT PHYSIOLOGY. 89(3). 743–752. 67 indexed citations
20.

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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