Jan Watteyne

668 total citations
20 papers, 340 citations indexed

About

Jan Watteyne is a scholar working on Aging, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jan Watteyne has authored 20 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Aging, 10 papers in Endocrine and Autonomic Systems and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jan Watteyne's work include Genetics, Aging, and Longevity in Model Organisms (15 papers), Circadian rhythm and melatonin (10 papers) and Neurobiology and Insect Physiology Research (4 papers). Jan Watteyne is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (15 papers), Circadian rhythm and melatonin (10 papers) and Neurobiology and Insect Physiology Research (4 papers). Jan Watteyne collaborates with scholars based in Belgium, United States and France. Jan Watteyne's co-authors include Isabel Beets, Liliane Schoofs, Katleen Peymen, Lotte Frooninckx, Elien Van Sinay, Olivier Mirabeau, William R Schafer, Elke Vandewyer, Petra E. Vértes and Sven Zels and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Jan Watteyne

12 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Watteyne Belgium 10 177 126 100 86 63 20 340
Katleen Peymen Belgium 8 108 0.6× 71 0.6× 88 0.9× 71 0.8× 44 0.7× 16 255
Shigekazu Oda Japan 9 232 1.3× 182 1.4× 130 1.3× 136 1.6× 29 0.5× 11 397
Robert W. Fernandez United States 9 163 0.9× 103 0.8× 91 0.9× 81 0.9× 37 0.6× 12 302
Kavita Babu India 11 200 1.1× 142 1.1× 119 1.2× 187 2.2× 32 0.5× 33 424
Sarah G. Leinwand United States 7 120 0.7× 99 0.8× 111 1.1× 51 0.6× 19 0.3× 7 256
Brandon E. Johnson United States 8 221 1.2× 114 0.9× 123 1.2× 183 2.1× 21 0.3× 15 467
Nikhil Bhatla United States 6 183 1.0× 118 0.9× 56 0.6× 96 1.1× 17 0.3× 7 303
Sagi Levy Israel 11 163 0.9× 121 1.0× 105 1.1× 287 3.3× 27 0.4× 11 537
Erin Z. Aprison United States 11 258 1.5× 165 1.3× 23 0.2× 50 0.6× 62 1.0× 17 310
Rebecca McWhirter United States 8 386 2.2× 177 1.4× 89 0.9× 271 3.2× 34 0.5× 11 595

Countries citing papers authored by Jan Watteyne

Since Specialization
Citations

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

Fields of papers citing papers by Jan Watteyne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Watteyne

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Watteyne. A scholar is included among the top collaborators of Jan Watteyne 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 Jan Watteyne. Jan Watteyne 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.
Beets, Isabel & Jan Watteyne. (2025). Mapping and decoding neuropeptide signaling networks in nervous system function. Current Opinion in Neurobiology. 92. 103027–103027.
2.
Watteyne, Jan, et al.. (2024). Neuropeptide signaling network of Caenorhabditis elegans: from structure to behavior. Genetics. 228(3). 8 indexed citations
3.
Watteyne, Jan, HaoSheng Sun, Robert W. Fernandez, et al.. (2023). The neuropeptidergic connectome of C. elegans. Neuron. 111(22). 3570–3589.e5. 70 indexed citations
4.
Vandewyer, Elke, et al.. (2023). Ancestral glycoprotein hormone-receptor pathway controls growth in C. elegans. Frontiers in Endocrinology. 14. 1200407–1200407. 6 indexed citations
5.
Watteyne, Jan, Chia‐Hui Chen, Durai Sellegounder, et al.. (2022). Neuronal GPCR NMUR-1 regulates distinct immune responses to different pathogens. Cell Reports. 38(6). 110321–110321. 10 indexed citations
6.
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
7.
Watteyne, Jan, et al.. (2020). Neuromodulatory pathways in learning and memory: Lessons from invertebrates. Journal of Neuroendocrinology. 33(1). e12911–e12911. 26 indexed citations
8.
Frooninckx, Lotte, Jan Watteyne, Olivier Mirabeau, et al.. (2020). RPamide neuropeptides NLP-22 and NLP-2 act through GnRH-like receptors to promote sleep and wakefulness in C. elegans. Scientific Reports. 10(1). 9929–9929. 12 indexed citations
9.
Watteyne, Jan, Katleen Peymen, Elke Vandewyer, et al.. (2020). Neuromedin U signaling regulates retrieval of learned salt avoidance in a C. elegans gustatory circuit. Nature Communications. 11(1). 2076–2076. 31 indexed citations
10.
Peymen, Katleen, et al.. (2019). Myoinhibitory peptide signaling modulates aversive gustatory learning in Caenorhabditis elegans. PLoS Genetics. 15(2). e1007945–e1007945. 24 indexed citations
11.
Watteyne, Jan, Kurt Boonen, Wouter De Haes, et al.. (2018). Mass spectrometric evidence for neuropeptide-amidating enzymes in. Journal of Biological Chemistry. 293(16). 6052–6063. 26 indexed citations
12.
Sinay, Elien Van, Olivier Mirabeau, Geert Depuydt, et al.. (2017). Evolutionarily conserved TRH neuropeptide pathway regulates growth in Caenorhabditis elegans. Proceedings of the National Academy of Sciences. 114(20). E4065–E4074. 43 indexed citations
13.
Beets, Isabel, Sven Zels, Elien Van Sinay, et al.. (2016). An evolutionary conserved neuropeptidergic network underlying C. elegans behavioral plasticity. Lirias (KU Leuven).
14.
Depuydt, Geert, Katleen Peymen, Elien Van Sinay, et al.. (2016). Towards unravelling the neuropeptidergic regulation of associative long term memory. Lirias (KU Leuven).
15.
Beets, Isabel, Sven Zels, Elien Van Sinay, et al.. (2016). C. elegans behavioral plasticity is regulated by an evolutionary conserved neuropeptide network. Lirias (KU Leuven).
16.
Beets, Isabel, Jelle Caers, Elien Van Sinay, et al.. (2015). Large-scale deorphanization of C. elegans neuropeptide receptors.
17.
Peymen, Katleen, Jan Watteyne, Lotte Frooninckx, Liliane Schoofs, & Isabel Beets. (2014). The FMRFamide-Like Peptide Family in Nematodes. Frontiers in Endocrinology. 5. 90–90. 62 indexed citations
18.
Sinay, Elien Van, Jan Watteyne, Roel Van Assche, et al.. (2014). Restoring cognitive functions in neurodegenerative disease models.
19.
Temmerman, Liesbet, Roel Van Assche, Bart P. Braeckman, et al.. (2014). Metabolic fingerprinting of Alzheimer's disease in C. elegans and its relevance to neuropeptidergic research.
20.
Watteyne, Jan, Lotte Frooninckx, Isabel Beets, et al.. (2014). Optogenetic analysis of the nociceptor ASH in Caenorhabditis elegans.

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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