Kevin Verstaen

885 total citations · 1 hit paper
9 papers, 425 citations indexed

About

Kevin Verstaen is a scholar working on Molecular Biology, Plant Science and Immunology. According to data from OpenAlex, Kevin Verstaen has authored 9 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Plant Science and 3 papers in Immunology. Recurrent topics in Kevin Verstaen's work include Plant Molecular Biology Research (4 papers), Single-cell and spatial transcriptomics (2 papers) and Immunotherapy and Immune Responses (2 papers). Kevin Verstaen is often cited by papers focused on Plant Molecular Biology Research (4 papers), Single-cell and spatial transcriptomics (2 papers) and Immunotherapy and Immune Responses (2 papers). Kevin Verstaen collaborates with scholars based in Belgium, United Kingdom and United States. Kevin Verstaen's co-authors include Yvan Saeys, Gert Van Isterdael, Niels Vandamme, Julie Van Duyse, Bert De Rybel, Max Minne, Wouter Smet, Baojun Yang, Jos R. Wendrich and Jonah Nolf and has published in prestigious journals such as Science, Nature Communications and PLANT PHYSIOLOGY.

In The Last Decade

Kevin Verstaen

9 papers receiving 419 citations

Hit Papers

Vascular transcription fa... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kevin Verstaen 285 257 25 21 20 9 425
Xiaoli Ma 430 1.5× 367 1.4× 8 0.3× 25 1.2× 19 0.9× 10 590
Tom Denyer 467 1.6× 465 1.8× 6 0.2× 36 1.7× 19 0.9× 9 693
Julie Van Duyse 215 0.8× 226 0.9× 11 0.4× 15 0.7× 4 0.2× 5 335
Elliot A. Hershberg 256 0.9× 95 0.4× 6 0.2× 12 0.6× 19 0.9× 11 326
Dariusz Stępiński 301 1.1× 218 0.8× 9 0.4× 4 0.2× 14 0.7× 38 421
Zhenping Liu 359 1.3× 336 1.3× 21 0.8× 6 0.3× 24 1.2× 27 608
Saifeng Cheng 703 2.5× 921 3.6× 12 0.5× 17 0.8× 19 0.9× 17 1.1k
Xiaoji Sun 431 1.5× 267 1.0× 24 1.0× 3 0.1× 24 1.2× 11 493
Hemangi G. Chaudhari 340 1.2× 161 0.6× 9 0.4× 10 0.5× 23 1.1× 9 488
Paolo M. Triozzi 191 0.7× 244 0.9× 8 0.3× 5 0.2× 14 0.7× 19 332

Countries citing papers authored by Kevin Verstaen

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Verstaen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin Verstaen

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

All Works

9 of 9 papers shown
1.
Kancheva, Daliya, Rong Fan, Pauline M. R. Bardet, et al.. (2024). A single-cell transcriptomic map of the murine and human multiple myeloma immune microenvironment across disease stages. Journal of Hematology & Oncology. 17(1). 107–107. 2 indexed citations
2.
Nguyen, Tràng Hiếu, Alex Van Moerkercke, Yuechen Bai, et al.. (2023). A redundant transcription factor network steers spatiotemporal Arabidopsis triterpene synthesis. Nature Plants. 9(6). 926–937. 20 indexed citations
3.
Vandamme, Niels, Joachim Taminau, Gillian Blancke, et al.. (2022). Distinct Transcriptional Programs in Ascitic and Solid Cancer Cells Induce Different Responses to Chemotherapy in High-Grade Serous Ovarian Cancer. Molecular Cancer Research. 20(10). 1532–1547. 13 indexed citations
4.
Matetovici, Irina, Suresh Poovathingal, Jeroen Aerts, et al.. (2022). Comparative analysis of antibody- and lipid-based multiplexing methods for single-cell RNA-seq. Genome biology. 23(1). 55–55. 24 indexed citations
5.
Hoste, Esther, Karl Annusver, Niels Vandamme, et al.. (2021). OTULIN maintains skin homeostasis by controlling keratinocyte death and stem cell identity. Nature Communications. 12(1). 5913–5913. 29 indexed citations
6.
Yang, Baojun, Max Minne, Federica Brunoni, et al.. (2021). Non-cell autonomous and spatiotemporal signalling from a tissue organizer orchestrates root vascular development. Nature Plants. 7(11). 1485–1494. 45 indexed citations
7.
Saeys, Yvan, Kevin Verstaen, Rébecca Dauwe, et al.. (2021). Maize specialized metabolome networks reveal organ-preferential mixed glycosides. Computational and Structural Biotechnology Journal. 19. 1127–1144. 16 indexed citations
8.
Verstaen, Kevin, Niels Vandamme, Julie Van Duyse, et al.. (2021). Single-cell transcriptomics sheds light on the identity and metabolism of developing leaf cells. PLANT PHYSIOLOGY. 188(2). 898–918. 67 indexed citations
9.
Wendrich, Jos R., Baojun Yang, Niels Vandamme, et al.. (2020). Vascular transcription factors guide plant epidermal responses to limiting phosphate conditions. Science. 370(6518). 209 indexed citations breakdown →

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026