Gwen Swinnen

508 total citations
10 papers, 336 citations indexed

About

Gwen Swinnen is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Gwen Swinnen has authored 10 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Plant Science and 2 papers in Genetics. Recurrent topics in Gwen Swinnen's work include CRISPR and Genetic Engineering (6 papers), Plant Virus Research Studies (4 papers) and Chromosomal and Genetic Variations (2 papers). Gwen Swinnen is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), Plant Virus Research Studies (4 papers) and Chromosomal and Genetic Variations (2 papers). Gwen Swinnen collaborates with scholars based in Belgium, Switzerland and United States. Gwen Swinnen's co-authors include Alain Goossens, Laurens Pauwels, Jonas Goossens, Robin Vanden Bossche, Sebastian Soyk, Jacob Pollier, Patricia Fernández‐Calvo, M. Ron, Maite Colinas and Liesbeth De Milde and has published in prestigious journals such as Nature Genetics, PLANT PHYSIOLOGY and New Phytologist.

In The Last Decade

Gwen Swinnen

10 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gwen Swinnen Belgium 6 278 190 52 51 17 10 336
Pei Du China 14 428 1.5× 147 0.8× 56 1.1× 36 0.7× 12 0.7× 32 496
Daoming Liu China 5 276 1.0× 154 0.8× 17 0.3× 95 1.9× 16 0.9× 7 328
Noriyuki Onoue Japan 10 254 0.9× 250 1.3× 25 0.5× 51 1.0× 12 0.7× 25 340
Valentina Bracuto Italy 7 353 1.3× 148 0.8× 33 0.6× 30 0.6× 38 2.2× 10 381
James Theuri United States 8 278 1.0× 187 1.0× 102 2.0× 38 0.7× 7 0.4× 10 335
Gurjit Singh Mangat India 14 440 1.6× 97 0.5× 115 2.2× 58 1.1× 7 0.4× 35 469
Gangqiang Cao China 12 274 1.0× 190 1.0× 44 0.8× 8 0.2× 8 0.5× 33 321
Yuanyang Peng China 2 229 0.8× 95 0.5× 15 0.3× 60 1.2× 17 1.0× 4 268
Philipp Weckwerth United States 6 201 0.7× 151 0.8× 13 0.3× 24 0.5× 13 0.8× 6 262
Guangyan Zhong China 14 367 1.3× 160 0.8× 24 0.5× 81 1.6× 19 1.1× 25 425

Countries citing papers authored by Gwen Swinnen

Since Specialization
Citations

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

Fields of papers citing papers by Gwen Swinnen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gwen Swinnen

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

All Works

10 of 10 papers shown
1.
Swinnen, Gwen, Ludivine Lebeigle, Justyna Iwaszkiewicz, et al.. (2025). Repairing a deleterious domestication variant in a floral regulator gene of tomato by base editing. Nature Genetics. 57(1). 231–241. 5 indexed citations
2.
Swinnen, Gwen, et al.. (2025). Application of a GRFGIF chimera enhances plant regeneration for genome editing in tomato. Plant Biotechnology Journal. 23(9). 4044–4056. 4 indexed citations
3.
Swinnen, Gwen, Jacob Pollier, Francisco Javier Molina‐Hidalgo, et al.. (2022). The basic helix–loop–helix transcription factors MYC1 and MYC2 have a dual role in the regulation of constitutive and stress‐inducible specialized metabolism in tomato. New Phytologist. 236(3). 911–928. 34 indexed citations
4.
Swinnen, Gwen, Jean‐Philippe Mauxion, Alexandra Baekelandt, et al.. (2021). SlKIX8 and SlKIX9 are negative regulators of leaf and fruit growth in tomato. PLANT PHYSIOLOGY. 188(1). 382–396. 21 indexed citations
5.
Swinnen, Gwen, et al.. (2021). Meristem transitions and plant architecture—learning from domestication for crop breeding. PLANT PHYSIOLOGY. 187(3). 1045–1056. 21 indexed citations
6.
Vangheluwe, Nick, Gwen Swinnen, Maarten Houben, et al.. (2020). Give CRISPR a Chance: the GeneSprout Initiative. Trends in Plant Science. 25(7). 624–627. 4 indexed citations
7.
Swinnen, Gwen, Thomas B. Jacobs, Laurens Pauwels, & Alain Goossens. (2019). CRISPR-Cas-Mediated Gene Knockout in Tomato. Methods in molecular biology. 2083. 321–341. 5 indexed citations
8.
Swinnen, Gwen, Alain Goossens, & Maite Colinas. (2019). Metabolic editing: small measures, great impact. Current Opinion in Biotechnology. 59. 16–23. 9 indexed citations
9.
Swinnen, Gwen, Alain Goossens, & Laurens Pauwels. (2016). Lessons from Domestication: Targeting Cis-Regulatory Elements for Crop Improvement. Trends in Plant Science. 21(6). 506–515. 151 indexed citations
10.
Goossens, Jonas, Gwen Swinnen, Robin Vanden Bossche, Laurens Pauwels, & Alain Goossens. (2015). Change of a conserved amino acid in the MYC2 and MYC3 transcription factors leads to release of JAZ repression and increased activity. New Phytologist. 206(4). 1229–1237. 82 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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