Paul Wackers
Impact in
- Aging top 10%
-
- Circadian rhythm and melatonin
Papers in
-
- Gene expression and cancer classification 4
- Molecular Biology Techniques and Applications 4
- Pluripotent Stem Cells Research 3
- Epigenetics and DNA Methylation 3
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- Carcinogens and Genotoxicity Assessment 4
- Co-authors
- Martijs J. Jonker (11 shared papers)Timo M. Breit (9 shared papers)Mirjam Luijten (8 shared papers)Harry van Steeg (7 shared papers)Martijn E.T. Dollé (5 shared papers)Conny Th.M. van Oostrom (6 shared papers)Hennie M. Hodemaekers (5 shared papers)Jeroen L. A. Pennings (6 shared papers)
- Journals
- Archives of Toxicology (4 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)Clinical Epigenetics (1 paper)Transcription (1 paper)
- Partner nations
- NetherlandsUnited StatesSingapore
In The Last Decade
Paul Wackers
23 papers receiving 437 citations
Peers
Comparison fields: 5 of 95
- Aging 19
- Endocrine and Autonomic Systems 39
- Chemical Health and Safety 4
- Cancer Research 60
- Developmental Neuroscience 15
Countries citing papers authored by Paul Wackers
This map shows the geographic impact of Paul Wackers'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 Paul Wackers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Wackers more than expected).
Fields of papers citing papers by Paul Wackers
This network shows the impact of papers produced by Paul Wackers. 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 Paul Wackers. The network helps show where Paul Wackers may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Wackers, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 59 | |
| 2 | 2013 | 49 | |
| 3 | 2019 | 33 | |
| 4 | 2022 | 31 | |
| 5 | 2020 | 31 | |
| 6 | 2016 | 28 | |
| 7 | 2014 | 27 | |
| 8 | 2014 | 22 | |
| 9 | 2019 | 21 | |
| 10 | 2012 | 20 | |
| 11 | 2020 | 19 | |
| 12 | 2022 | 18 | |
| 13 | 2019 | 15 | |
| 14 | 2014 | 11 | |
| 15 | 2016 | 10 | |
| 16 | 2020 | 10 | |
| 17 | 2019 | 9 | |
| 18 | 2018 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2015 | 4 |
About Paul Wackers
Paul Wackers is a scholar working on Molecular Biology, Cancer Research, Endocrine and Autonomic Systems, Computational Theory and Mathematics and Physiology, having authored 23 papers that have together received 438 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Molecular Biology Techniques and Applications (4 papers), Carcinogens and Genotoxicity Assessment (4 papers), Pluripotent Stem Cells Research (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Computational Drug Discovery Methods (3 papers), Circadian rhythm and melatonin (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Aging (19 citations), Endocrine and Autonomic Systems (39 citations), Chemical Health and Safety (4 citations), Cancer Research (60 citations) and Developmental Neuroscience (15 citations). Paul Wackers has collaborated with scholars based in Netherlands, United States and Singapore. Frequent co-authors include Martijs J. Jonker, Timo M. Breit, Mirjam Luijten, Harry van Steeg, Martijn E.T. Dollé, Conny Th.M. van Oostrom, Hennie M. Hodemaekers, Jeroen L. A. Pennings, Edwin Zwart and Sayantani Chatterjee. Their work appears in journals such as Archives of Toxicology, PLoS ONE, Scientific Reports, Clinical Epigenetics and Transcription.
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.