Isabel Beets

2.9k total citations
75 papers, 1.7k citations indexed

About

Isabel Beets is a scholar working on Aging, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience. According to data from OpenAlex, Isabel Beets has authored 75 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Aging, 39 papers in Endocrine and Autonomic Systems and 26 papers in Cellular and Molecular Neuroscience. Recurrent topics in Isabel Beets's work include Genetics, Aging, and Longevity in Model Organisms (48 papers), Circadian rhythm and melatonin (39 papers) and Neurobiology and Insect Physiology Research (18 papers). Isabel Beets is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (48 papers), Circadian rhythm and melatonin (39 papers) and Neurobiology and Insect Physiology Research (18 papers). Isabel Beets collaborates with scholars based in Belgium, United Kingdom and United States. Isabel Beets's co-authors include Liliane Schoofs, Liesbet Temmerman, Tom Janssen, Jan Watteyne, Katleen Peymen, William R Schafer, Sven Zels, Ellen Meelkop, Lotte Frooninckx and Elien Van Sinay and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Isabel Beets

66 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabel Beets Belgium 26 734 640 581 413 367 75 1.7k
Tom Janssen Belgium 25 698 1.0× 842 1.3× 612 1.1× 445 1.1× 355 1.0× 42 1.7k
Kyuhyung Kim South Korea 23 1.3k 1.7× 540 0.8× 926 1.6× 524 1.3× 207 0.6× 44 1.8k
Simon C. Harvey United Kingdom 29 340 0.5× 710 1.1× 132 0.2× 906 2.2× 246 0.7× 65 3.1k
Navin Pokala United States 17 1.2k 1.6× 572 0.9× 853 1.5× 1.4k 3.4× 336 0.9× 20 3.0k
Mario de Bono United Kingdom 29 2.5k 3.4× 781 1.2× 1.6k 2.7× 955 2.3× 379 1.0× 51 3.7k
Steven L. McIntire United States 21 1.3k 1.8× 906 1.4× 774 1.3× 1.2k 2.8× 187 0.5× 25 2.8k
Elke Clynen Belgium 31 260 0.4× 1.1k 1.8× 215 0.4× 1.1k 2.6× 81 0.2× 73 2.5k
Katie S. Kindt United States 23 522 0.7× 384 0.6× 420 0.7× 657 1.6× 62 0.2× 47 1.8k
John Ewer United States 28 193 0.3× 2.0k 3.1× 692 1.2× 664 1.6× 81 0.2× 55 2.7k
Atsushi Kuhara Japan 19 1.1k 1.5× 430 0.7× 819 1.4× 339 0.8× 80 0.2× 45 1.5k

Countries citing papers authored by Isabel Beets

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Beets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabel Beets

This figure shows the co-authorship network connecting the top 25 collaborators of Isabel Beets. A scholar is included among the top collaborators of Isabel Beets 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 Isabel Beets. Isabel Beets 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.
Wu, Yu‐Chun, Isabel Beets, Bennett W. Fox, et al.. (2025). Intercellular sphingolipid signaling mediates aversive learning in C. elegans. Current Biology. 35(10). 2323–2336.e9. 2 indexed citations
2.
Beets, Isabel & Jan Watteyne. (2025). Mapping and decoding neuropeptide signaling networks in nervous system function. Current Opinion in Neurobiology. 92. 103027–103027.
3.
Olson, Andrew, et al.. (2024). Neuropeptide and serotonin co-transmission sets the activity pattern in the C. elegans egg-laying circuit. Current Biology. 34(20). 4704–4714.e5. 3 indexed citations
4.
Aoki, Ichiro, et al.. (2024). Hierarchical regulation of functionally antagonistic neuropeptides expressed in a single neuron pair. Nature Communications. 15(1). 9504–9504. 5 indexed citations
5.
Irvine, Allister, Ciaran J. McCoy, Elke Vandewyer, et al.. (2024). Global analysis of neuropeptide receptor conservation across phylum Nematoda. BMC Biology. 22(1). 223–223. 4 indexed citations
6.
Watteyne, Jan, et al.. (2024). Neuropeptide signaling network of Caenorhabditis elegans: from structure to behavior. Genetics. 228(3). 8 indexed citations
7.
Beets, Isabel, et al.. (2023). Multisite regulation integrates multimodal context in sensory circuits to control persistent behavioral states in C. elegans. Nature Communications. 14(1). 3052–3052. 11 indexed citations
8.
Yemini, Eviatar, et al.. (2022). Neuropeptide signalling shapes feeding and reproductive behaviours in male Caenorhabditis elegans. Life Science Alliance. 5(10). e202201420–e202201420. 9 indexed citations
9.
Atkinson, Louise E., Elke Vandewyer, Charles Viau, et al.. (2021). Ascaris suum Informs Extrasynaptic Volume Transmission in Nematodes. ACS Chemical Neuroscience. 12(17). 3176–3188. 13 indexed citations
10.
Watteyne, Jan, Katleen Peymen, Elke Vandewyer, et al.. (2020). NPY/NPF-Related Neuropeptide FLP-34 Signals from Serotonergic Neurons to Modulate Aversive Olfactory Learning in Caenorhabditis elegans. Journal of Neuroscience. 40(31). 6018–6034. 22 indexed citations
11.
Watteyne, Jan, et al.. (2020). Neuromodulatory pathways in learning and memory: Lessons from invertebrates. Journal of Neuroendocrinology. 33(1). e12911–e12911. 26 indexed citations
12.
Andreatta, Gabriele, Caroline Broyart, Vitaly V. Kozin, et al.. (2019). Corazonin signaling integrates energy homeostasis and lunar phase to regulate aspects of growth and sexual maturation in Platynereis. Proceedings of the National Academy of Sciences. 117(2). 1097–1106. 26 indexed citations
13.
Peymen, Katleen, et al.. (2019). Myoinhibitory peptide signaling modulates aversive gustatory learning in Caenorhabditis elegans. PLoS Genetics. 15(2). e1007945–e1007945. 24 indexed citations
14.
Schultheis, Christian, Oleg Tolstenkov, Karen Erbguth, et al.. (2018). Food Sensation Modulates Locomotion by Dopamine and Neuropeptide Signaling in a Distributed Neuronal Network. Neuron. 100(6). 1414–1428.e10. 61 indexed citations
15.
Beets, Isabel, Sven Zels, Elien Van Sinay, et al.. (2016). An evolutionary conserved neuropeptidergic network underlying C. elegans behavioral plasticity. Lirias (KU Leuven).
16.
Rabinowitch, Ithai, Patrick Laurent, Denise S. Walker, et al.. (2016). Neuropeptide-Driven Cross-Modal Plasticity following Sensory Loss in Caenorhabditis elegans. PLoS Biology. 14(1). e1002348–e1002348. 25 indexed citations
17.
Caers, Jelle, Matthias B. Van Hiel, Katleen Peymen, et al.. (2016). Characterization of a neuropeptide F receptor in the tsetse fly, Glossina morsitans morsitans. Journal of Insect Physiology. 93-94. 105–111. 6 indexed citations
18.
Beets, Isabel, Tom Janssen, Ellen Meelkop, et al.. (2012). Vasopressin/Oxytocin-Related Signaling Regulates Gustatory Associative Learning in C. elegans. Science. 338(6106). 543–545. 134 indexed citations
19.
Meelkop, Ellen, Liesbet Temmerman, Tom Janssen, et al.. (2012). PDF receptor signaling in Caenorhabditis elegans modulates locomotion and egg-laying. Molecular and Cellular Endocrinology. 361(1-2). 232–240. 34 indexed citations
20.
Bogaerts, Annelies, Isabel Beets, Liliane Schoofs, & Peter Verleyen. (2010). Antimicrobial peptides in Caenorhabditis elegans. SHILAP Revista de lepidopterología. 14 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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