Virginia W. Gitonga

405 total citations
8 papers, 296 citations indexed

About

Virginia W. Gitonga is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Virginia W. Gitonga has authored 8 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 7 papers in Molecular Biology and 1 paper in Cell Biology. Recurrent topics in Virginia W. Gitonga's work include Powdery Mildew Fungal Diseases (4 papers), Horticultural and Viticultural Research (3 papers) and Plant Reproductive Biology (3 papers). Virginia W. Gitonga is often cited by papers focused on Powdery Mildew Fungal Diseases (4 papers), Horticultural and Viticultural Research (3 papers) and Plant Reproductive Biology (3 papers). Virginia W. Gitonga collaborates with scholars based in Netherlands, Germany and Iran. Virginia W. Gitonga's co-authors include Frans A. Krens, Chris Maliepaard, C.F.S. Koning-Boucoiran, Richard G. F. Visser, O. Dolstra, Roeland E. Voorrips, M.J.M. Smulders, Andrew I. Lawton, John R. Dickinson and M. J. E. Hewlins and has published in prestigious journals such as Frontiers in Plant Science, Theoretical and Applied Genetics and Molecular Breeding.

In The Last Decade

Virginia W. Gitonga

8 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Virginia W. Gitonga Netherlands 7 200 161 68 60 24 8 296
Yong-Sham Kwon South Korea 10 286 1.4× 87 0.5× 162 2.4× 40 0.7× 28 1.2× 33 339
M. C. Ramírez Spain 14 350 1.8× 162 1.0× 63 0.9× 15 0.3× 18 0.8× 33 414
Aurélie Canaguier France 7 271 1.4× 173 1.1× 65 1.0× 77 1.3× 13 0.5× 9 338
Jacqueline PHILOUZE France 9 345 1.7× 175 1.1× 95 1.4× 22 0.4× 17 0.7× 11 392
Alejandro Calle Spain 8 224 1.1× 144 0.9× 17 0.3× 32 0.5× 15 0.6× 24 268
Zhenyang Liao China 12 183 0.9× 145 0.9× 66 1.0× 14 0.2× 30 1.3× 24 258
Mohammad Rashed Hossain Bangladesh 11 316 1.6× 175 1.1× 55 0.8× 13 0.2× 13 0.5× 41 392
Ranjita Thapa United States 9 189 0.9× 39 0.2× 76 1.1× 39 0.7× 23 1.0× 14 229
Eduard Moreno Spain 6 273 1.4× 63 0.4× 136 2.0× 38 0.6× 5 0.2× 8 311
Yun Long China 8 226 1.1× 201 1.2× 66 1.0× 12 0.2× 8 0.3× 19 311

Countries citing papers authored by Virginia W. Gitonga

Since Specialization
Citations

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

Fields of papers citing papers by Virginia W. Gitonga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia W. Gitonga

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

All Works

8 of 8 papers shown
1.
Bourke, Peter M., Virginia W. Gitonga, Roeland E. Voorrips, et al.. (2018). Multi-environment QTL analysis of plant and flower morphological traits in tetraploid rose. Theoretical and Applied Genetics. 131(10). 2055–2069. 31 indexed citations
2.
Gitonga, Virginia W., Robert Jan Stolker, C.F.S. Koning-Boucoiran, et al.. (2016). Inheritance and QTL analysis of the determinants of flower color in tetraploid cut roses. Molecular Breeding. 36(10). 143–143. 21 indexed citations
3.
Koning-Boucoiran, C.F.S., G. Esselink, Virginia W. Gitonga, et al.. (2015). Using RNA-Seq to assemble a rose transcriptome with more than 13,000 full-length expressed genes and to develop the WagRhSNP 68k Axiom SNP array for rose (Rosa L.). Frontiers in Plant Science. 6. 249–249. 70 indexed citations
4.
Gitonga, Virginia W., C.F.S. Koning-Boucoiran, O. Dolstra, et al.. (2014). Genetic variation, heritability and genotype by environment interaction of morphological traits in a tetraploid rose population. BMC Genetics. 15(1). 146–146. 45 indexed citations
5.
Koning-Boucoiran, C.F.S., Virginia W. Gitonga, Zhen Yan, et al.. (2012). The mode of inheritance in tetraploid cut roses. Theoretical and Applied Genetics. 125(3). 591–607. 48 indexed citations
6.
Koning-Boucoiran, C.F.S., O. Dolstra, C. Gerard van der Linden, et al.. (2009). SPECIFIC MAPPING OF DISEASE RESISTANCE GENES IN TETRAPLOID CUT ROSES. Acta Horticulturae. 137–142. 7 indexed citations
7.
Gitonga, Virginia W., et al.. (2009). INHERITANCE OF DETERMINANTS OF FLOWER COLOUR IN TETRAPLOID ROSES. Acta Horticulturae. 55–60. 6 indexed citations
8.
Lawton, Andrew I., et al.. (2006). Methionine catabolism inSaccharomyces cerevisiae. FEMS Yeast Research. 6(1). 48–56. 68 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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2026