Isabel Beets
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
-
- Circadian rhythm and melatonin
Papers in
- Aging 48
- Genetics, Aging, and Longevity in Model Organisms 48
-
- Circadian rhythm and melatonin 39
- Co-authors
- Liliane Schoofs (40 shared papers)Liesbet Temmerman (20 shared papers)Tom Janssen (11 shared papers)Jan Watteyne (19 shared papers)Katleen Peymen (15 shared papers)William R Schafer (13 shared papers)Sven Zels (8 shared papers)Ellen Meelkop (5 shared papers)
- Journals
- Frontiers in Endocrinology (5 papers)Current Biology (4 papers)Scientific Reports (4 papers)Neuron (4 papers)Nature Communications (3 papers)
- Partner nations
- BelgiumUnited KingdomUnited States
In The Last Decade
Isabel Beets
67 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 102
- Aging 786
- Endocrine and Autonomic Systems 608
- Cellular and Molecular Neuroscience 669
- Aquatic Science 134
- Social Psychology 374
Countries citing papers authored by Isabel Beets
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
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-authors
The 25 scholars most cited alongside Isabel Beets, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 146 | |
| 2 | 2012 | 119 | |
| 3 | 2019 | 89 | |
| 4 | 2018 | 81 | |
| 5 | 2023 | 79 | |
| 6 | 2013 | 72 | |
| 7 | 2014 | 67 | |
| 8 | 2018 | 64 | |
| 9 | 2016 | 64 | |
| 10 | 2023 | 57 | |
| 11 | 2017 | 49 | |
| 12 | 2018 | 48 | |
| 13 | 2017 | 46 | |
| 14 | 2016 | 42 | |
| 15 | 2015 | 40 | |
| 16 | 2011 | 39 | |
| 17 | 2010 | 39 | |
| 18 | 2015 | 38 | |
| 19 | 2016 | 34 | |
| 20 | 2020 | 34 |
About Isabel Beets
Isabel Beets is a scholar working on Aging, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Social Psychology and Molecular Biology, having authored 75 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (48 papers), Circadian rhythm and melatonin (39 papers), Neurobiology and Insect Physiology Research (18 papers), Neuroendocrine regulation and behavior (16 papers), Spaceflight effects on biology (6 papers), Protein Hydrolysis and Bioactive Peptides (5 papers), Receptor Mechanisms and Signaling (4 papers) and Photoreceptor and optogenetics research (4 papers). The work is most often cited by research in Aging (786 citations), Endocrine and Autonomic Systems (608 citations), Cellular and Molecular Neuroscience (669 citations), Aquatic Science (134 citations) and Social Psychology (374 citations). Isabel Beets has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent 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. Their work appears in journals such as Frontiers in Endocrinology, Current Biology, Scientific Reports, Neuron and Nature Communications.
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.