Walter Dewitte

4.9k total citations
44 papers, 3.8k citations indexed

About

Walter Dewitte is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Walter Dewitte has authored 44 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Plant Science, 34 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Walter Dewitte's work include Plant Molecular Biology Research (29 papers), Plant Reproductive Biology (19 papers) and Plant nutrient uptake and metabolism (18 papers). Walter Dewitte is often cited by papers focused on Plant Molecular Biology Research (29 papers), Plant Reproductive Biology (19 papers) and Plant nutrient uptake and metabolism (18 papers). Walter Dewitte collaborates with scholars based in United Kingdom, Belgium and France. Walter Dewitte's co-authors include J. A. H. Murray, Simon Scofield, Harry Van Onckelen, Jeroen Nieuwland, Spencer C. Maughan, Marc Van Montagu, Dirk Inzé, Carl Collins, Annie Jacqmard and Catherine Bellini and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Walter Dewitte

43 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Walter Dewitte United Kingdom 29 3.5k 2.8k 161 115 79 44 3.8k
Rossana Henriques Spain 23 3.7k 1.1× 2.8k 1.0× 94 0.6× 78 0.7× 102 1.3× 32 4.3k
Pierre Hilson Belgium 33 3.4k 1.0× 3.1k 1.1× 197 1.2× 101 0.9× 178 2.3× 50 4.2k
Luz Irina A. Calderón Villalobos Germany 20 3.1k 0.9× 2.6k 0.9× 92 0.6× 157 1.4× 39 0.5× 24 3.7k
Margit Menges United Kingdom 19 2.5k 0.7× 2.1k 0.8× 217 1.3× 47 0.4× 65 0.8× 20 2.9k
Christoph Ringli Switzerland 31 2.7k 0.8× 2.3k 0.8× 104 0.6× 217 1.9× 75 0.9× 45 3.1k
Yoko Okushima Japan 17 3.6k 1.0× 2.7k 1.0× 138 0.9× 54 0.5× 66 0.8× 23 3.8k
Taku Takahashi Japan 36 3.8k 1.1× 3.5k 1.3× 173 1.1× 121 1.1× 85 1.1× 87 4.6k
Sang‐Youl Park United States 21 3.5k 1.0× 1.9k 0.7× 64 0.4× 225 2.0× 105 1.3× 29 4.0k
Stefan Kepinski United Kingdom 26 5.2k 1.5× 4.1k 1.5× 107 0.7× 155 1.3× 35 0.4× 43 5.7k
Eva Zažı́malová Czechia 32 5.7k 1.7× 4.1k 1.5× 273 1.7× 159 1.4× 42 0.5× 52 6.2k

Countries citing papers authored by Walter Dewitte

Since Specialization
Citations

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

Fields of papers citing papers by Walter Dewitte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Walter Dewitte

This figure shows the co-authorship network connecting the top 25 collaborators of Walter Dewitte. A scholar is included among the top collaborators of Walter Dewitte 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 Walter Dewitte. Walter Dewitte 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.
Masia, Francesco, Walter Dewitte, Paola Borri, & W. Langbein. (2022). uFLIM — Unsupervised analysis of FLIM-FRET microscopy data. Medical Image Analysis. 82. 102579–102579. 2 indexed citations
2.
3.
Jones, Angharad, Manuel G. Forero, Richard S. Smith, et al.. (2017). Cell-size dependent progression of the cell cycle creates homeostasis and flexibility of plant cell size. Nature Communications. 8(1). 15060–15060. 99 indexed citations
4.
Hronková, Marie, M Simková, Petr Skůpa, et al.. (2015). Light-induced STOMAGEN-mediated stomatal development inArabidopsisleaves. Journal of Experimental Botany. 66(15). 4621–4630. 43 indexed citations
5.
6.
Forzani, Céline, Ernst Aichinger, Viola Willemsen, et al.. (2014). WOX5 Suppresses CYCLIN D Activity to Establish Quiescence at the Center of the Root Stem Cell Niche. Current Biology. 24(16). 1939–1944. 176 indexed citations
7.
Scofield, Simon, Walter Dewitte, & J. A. H. Murray. (2014). STM sustains stem cell function in theArabidopsisshoot apical meristem and controlsKNOXgene expression independently of the transcriptional repressor AS1. Plant Signaling & Behavior. 9(6). e28934–e28934. 41 indexed citations
8.
Collins, Carl, Walter Dewitte, & J. A. H. Murray. (2012). D-type cyclins control cell division and developmental rate during Arabidopsis seed development. Journal of Experimental Botany. 63(10). 3571–3586. 49 indexed citations
9.
Sanz, Luis, Walter Dewitte, Céline Forzani, et al.. (2011). The Arabidopsis D-Type Cyclin CYCD2;1 and the Inhibitor ICK2/KRP2 Modulate Auxin-Induced Lateral Root Formation. The Plant Cell. 23(2). 641–660. 103 indexed citations
10.
Sozzani, Rosangela, Hongchang Cui, Miguel Á. Moreno-Risueno, et al.. (2010). Spatiotemporal regulation of cell-cycle genes by SHORTROOT links patterning and growth. Nature. 466(7302). 128–132. 337 indexed citations
11.
Scofield, Simon, Walter Dewitte, & J. A. H. Murray. (2008). A model for Arabidopsis class-1 KNOX gene function. Plant Signaling & Behavior. 3(4). 257–259. 37 indexed citations
12.
Dewitte, Walter, Simon Scofield, Annette A. Alcasabas, et al.. (2007). Arabidopsis CYCD3 D-type cyclins link cell proliferation and endocycles and are rate-limiting for cytokinin responses. Proceedings of the National Academy of Sciences. 104(36). 14537–14542. 320 indexed citations
13.
Scofield, Simon, Walter Dewitte, & J. A. H. Murray. (2007). The KNOX gene SHOOT MERISTEMLESS is required for the development of reproductive meristematic tissues in Arabidopsis. The Plant Journal. 50(5). 767–781. 100 indexed citations
14.
Jacqmard, Annie, et al.. (2002). In situ localisation of cytokinins in the shoot apical meristem of Sinapis alba at floral transition. Planta. 214(6). 970–973. 45 indexed citations
15.
D’Angeli, Simone, et al.. (2001). Factors affecting in vitro shoot formation from vegetative shoot apices of apple and relationship between organogenic response and cytokinin localisation. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 135(1). 95–100. 16 indexed citations
16.
Azmi, Asfar S., Walter Dewitte, Harry Van Onckelen, & Dominique Chriqui. (2001). In situ localization of endogenous cytokinins during shooty tumor development on Eucalyptus globulus Labill.. Planta. 213(1). 29–36. 12 indexed citations
17.
Dewitte, Walter & Harry Van Onckelen. (2001). Probing the distribution of plant hormones by immunocytochemistry. Plant Growth Regulation. 33(1). 67–74. 24 indexed citations
18.
Dewitte, Walter, et al.. (1998). Zeatin is indispensable for the G2‐M transition in tobacco BY‐2 cells. FEBS Letters. 426(1). 29–32. 94 indexed citations
19.
Chriqui, Dominique, et al.. (1996). Rol genes and root initiation and development. Plant and Soil. 187(1). 47–55. 28 indexed citations
20.
Werbrouck, Stefaan, et al.. (1995). The metabolism of benzyladenine in Spathiphyllum floribundum ‘Schott Petite’ in relation to acclimatisation problems. Plant Cell Reports. 14(10). 662–665. 81 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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