Jef Swerts
Impact in
- Cell Biology top 2%
- Cellular transport and secretion
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- Neuroscience and Neuropharmacology Research
- Genetic Neurodegenerative Diseases
Papers in
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- Mitochondrial Function and Pathology 4
- CRISPR and Genetic Engineering 3
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- Neuroscience and Neuropharmacology Research 5
- Neurobiology and Insect Physiology Research 4
- Co-authors
- Patrik Verstreken (27 shared papers)Sabine Kuenen (15 shared papers)Sven Vilain (6 shared papers)Bart De Strooper (5 shared papers)Katarzyna Miśkiewicz (5 shared papers)Natalia V. Gounko (5 shared papers)Jarosław Kasprowicz (5 shared papers)Valerie Uytterhoeven (6 shared papers)
- Journals
- Neuron (7 papers)The Journal of Cell Biology (3 papers)Brain (2 papers)The EMBO Journal (2 papers)eLife (2 papers)
- Partner nations
- BelgiumUnited StatesGermany
In The Last Decade
Jef Swerts
25 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 96
- Cell Biology 487
- Cellular and Molecular Neuroscience 517
- Neurology 395
- Aging 44
- Neurology 161
Countries citing papers authored by Jef Swerts
This map shows the geographic impact of Jef Swerts'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 Jef Swerts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jef Swerts more than expected).
Fields of papers citing papers by Jef Swerts
This network shows the impact of papers produced by Jef Swerts. 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 Jef Swerts. The network helps show where Jef Swerts may publish in the future.
Co-authors
The 25 scholars most cited alongside Jef Swerts, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 290 | |
| 2 | 2014 | 278 | |
| 3 | 2016 | 193 | |
| 4 | 2015 | 131 | |
| 5 | 2018 | 121 | |
| 6 | 2011 | 84 | |
| 7 | 2013 | 78 | |
| 8 | 2014 | 70 | |
| 9 | 2016 | 69 | |
| 10 | 2013 | 62 | |
| 11 | 2017 | 56 | |
| 12 | 2021 | 48 | |
| 13 | 2016 | 44 | |
| 14 | 2019 | 41 | |
| 15 | 2014 | 34 | |
| 16 | 2014 | 31 | |
| 17 | 2023 | 29 | |
| 18 | 2016 | 27 | |
| 19 | 2021 | 27 | |
| 20 | 2023 | 22 |
About Jef Swerts
Jef Swerts is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Neurology and Epidemiology, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cellular transport and secretion (13 papers), Autophagy in Disease and Therapy (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Alzheimer's disease research and treatments (4 papers), Neurobiology and Insect Physiology Research (4 papers), Mitochondrial Function and Pathology (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Cell Biology (487 citations), Cellular and Molecular Neuroscience (517 citations), Neurology (395 citations), Aging (44 citations) and Neurology (161 citations). Jef Swerts has collaborated with scholars based in Belgium, United States and Germany. Frequent co-authors include Patrik Verstreken, Sabine Kuenen, Sven Vilain, Bart De Strooper, Katarzyna Miśkiewicz, Natalia V. Gounko, Jarosław Kasprowicz, Valerie Uytterhoeven, Christine Klein and Philip Seibler. Their work appears in journals such as Neuron, The Journal of Cell Biology, Brain, The EMBO Journal and eLife.
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.