Joan H. de Jong

7.9k total citations · 2 hit papers
95 papers, 6.2k citations indexed

About

Joan H. de Jong is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Joan H. de Jong has authored 95 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Plant Science, 50 papers in Molecular Biology and 12 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Joan H. de Jong's work include Chromosomal and Genetic Variations (44 papers), Plant tissue culture and regeneration (22 papers) and Plant Genetic and Mutation Studies (12 papers). Joan H. de Jong is often cited by papers focused on Chromosomal and Genetic Variations (44 papers), Plant tissue culture and regeneration (22 papers) and Plant Genetic and Mutation Studies (12 papers). Joan H. de Jong collaborates with scholars based in Netherlands, United States and Germany. Joan H. de Jong's co-authors include Paul Fransz, P. Zabel, Jan Paul Medema, Louis Vermeulen, Felipe de Sousa e Melo, Hans M. Rodermond, Jurriaan B. Tuynman, Maartje van der Heijden, Dick J. Richel and Kate Cameron and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Joan H. de Jong

94 papers receiving 5.9k citations

Hit Papers

Wnt activity defines colon cancer stem cells and is regul... 2010 2026 2015 2020 2010 2013 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joan H. de Jong Netherlands 37 3.1k 2.8k 1.8k 795 684 95 6.2k
Concepción Almoguera Spain 27 2.3k 0.7× 1.2k 0.4× 1.9k 1.0× 854 1.1× 354 0.5× 42 4.5k
Robert A. Metcalf United States 27 1.9k 0.6× 438 0.2× 1.8k 1.0× 1.1k 1.3× 932 1.4× 41 4.8k
Ken Kawamoto Japan 25 2.6k 0.8× 3.0k 1.1× 332 0.2× 582 0.7× 2.9k 4.2× 42 6.6k
Jean‐Marc Egly France 57 9.1k 2.9× 470 0.2× 1.5k 0.8× 1.1k 1.4× 1.8k 2.6× 129 10.3k
Raymond J. Monnat United States 49 6.3k 2.0× 702 0.3× 1.1k 0.6× 1.1k 1.4× 1.0k 1.5× 124 7.3k
ALBERT LEVAN Sweden 27 2.6k 0.8× 3.1k 1.1× 306 0.2× 582 0.7× 1.7k 2.6× 149 5.7k
Tetuo Mikami Japan 32 1.4k 0.4× 533 0.2× 790 0.4× 214 0.3× 630 0.9× 161 3.5k
Andrew J. Pierce United States 29 5.1k 1.6× 581 0.2× 1.8k 1.0× 1.1k 1.3× 972 1.4× 76 5.8k
Betty Huang United States 19 2.8k 0.9× 798 0.3× 447 0.2× 374 0.5× 495 0.7× 31 4.5k
Dmitry A. Gordenin United States 48 6.5k 2.1× 1.1k 0.4× 857 0.5× 1.9k 2.4× 1.2k 1.8× 94 7.9k

Countries citing papers authored by Joan H. de Jong

Since Specialization
Citations

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

Fields of papers citing papers by Joan H. de Jong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan H. de Jong. 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 Joan H. de Jong. The network helps show where Joan H. de Jong may publish in the future.

Co-authorship network of co-authors of Joan H. de Jong

This figure shows the co-authorship network connecting the top 25 collaborators of Joan H. de Jong. A scholar is included among the top collaborators of Joan H. de Jong 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 Joan H. de Jong. Joan H. de Jong 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.
Buikhuisen, Joyce Y., Kate Cameron, Saskia J.E. Suijkerbuijk, et al.. (2023). Subtype-specific kinase dependency regulates growth and metastasis of poor-prognosis mesenchymal colorectal cancer. Journal of Experimental & Clinical Cancer Research. 42(1). 56–56. 4 indexed citations
2.
Buikhuisen, Joyce Y., Joan H. de Jong, Sara Vitale, et al.. (2021). AKT3 Expression in Mesenchymal Colorectal Cancer Cells Drives Growth and Is Associated with Epithelial-Mesenchymal Transition. Cancers. 13(4). 801–801. 24 indexed citations
3.
Trinh, Anne, Kari Trumpi, Felipe de Sousa e Melo, et al.. (2016). Practical and Robust Identification of Molecular Subtypes in Colorectal Cancer by Immunohistochemistry. Clinical Cancer Research. 23(2). 387–398. 132 indexed citations
4.
Fessler, Evelyn, Marnix Jansen, Felipe de Sousa e Melo, et al.. (2016). A multidimensional network approach reveals microRNAs as determinants of the mesenchymal colorectal cancer subtype. Oncogene. 35(46). 6026–6037. 46 indexed citations
5.
Kemper, Kristel, Miranda Versloot, Katherine Cameron, et al.. (2012). Mutations in the Ras–Raf Axis Underlie the Prognostic Value of CD133 in Colorectal Cancer. Clinical Cancer Research. 18(11). 3132–3141. 76 indexed citations
6.
Melo, Felipe de Sousa e, Selçuk Çolak, Joyce Y. Buikhuisen, et al.. (2011). Methylation of Cancer-Stem-Cell-Associated Wnt Target Genes Predicts Poor Prognosis in Colorectal Cancer Patients. Cell stem cell. 9(5). 476–485. 260 indexed citations
7.
Jong, Joan H. de, et al.. (2004). Meiotic behaviour of individual chromosomes in allotriploid Alstroemeria hybrids. Heredity. 93(1). 15–21. 14 indexed citations
8.
Fransz, Paul, Joan H. de Jong, Martin A. Lysák, Monica Ruffini Castiglione, & Ingo Schubert. (2002). Interphase chromosomes in Arabidopsis are organized as well defined chromocenters from which euchromatin loops emanate. Proceedings of the National Academy of Sciences. 99(22). 14584–14589. 364 indexed citations
10.
Kulikova, Olga, Gustavo Gualtieri, René Geurts, et al.. (2001). Integration of the FISH pachytene and genetic maps of Medicago truncatula. The Plant Journal. 27(1). 49–58. 147 indexed citations
11.
12.
Ohmido, Nobuko, et al.. (2000). Quantification of total genomic DNA and selected repetitive sequences reveals concurrent changes in different DNA families in indica and japonica rice. Molecular and General Genetics MGG. 263(3). 388–394. 59 indexed citations
13.
Jong, Joan H. de, et al.. (2000). FISH to mitotic chromosomes and extended DNA fibres of Beta procumbens in a series of monosomic additions to beet (B. vulgaris). Chromosome Research. 8(4). 285–293. 8 indexed citations
14.
Jong, Joan H. de, et al.. (1999). High-resolution FISH reveals the molecular and chromosomal organization of repetitive sequences in tomato. Socio-Environmental Systems Modeling. 33. 1–1. 4 indexed citations
15.
Fransz, Paul, et al.. (1998). Fluorescence in situ: hybridization to pachytene chromosomes and extended DNA fibres in plants.. Socio-Environmental Systems Modeling. 25. 142–149. 3 indexed citations
16.
Bogdanov, Yu. F., et al.. (1997). A new type of meiotic abnormalities: Bars in synaptonemal complexes of rye (Secale cereale L.) Plants of the inbred line Ms6.. Russian Journal of Genetics. 33. 1053–1059. 2 indexed citations
18.
Lange, W., T. Bock, G. J. Speckmann, & Joan H. de Jong. (1993). Disomic and ditelosomic alien chromosome additions in beet (Beta vulgaris), carrying an extra chromosome of B. procumbens or telosome of B. patellaris. Genome. 36(2). 261–267. 3 indexed citations
19.
Boer, P. de, Joan H. de Jong, & F. van der Hoeven. (1991). Meiosis in a sterile male mouse with an isoYq marker chromosome. Genetics Research. 56(1). 36–39. 1 indexed citations
20.
Koornneef, Maarten, et al.. (1986). Yellow-green (yg-6) is an allele of aurea (au).. Socio-Environmental Systems Modeling. 2 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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