Daniel Witvliet
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
Papers in
- Aging 9
- Genetics, Aging, and Longevity in Model Organisms 9
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- Photoreceptor and optogenetics research 4
- Neuroscience and Neural Engineering 2
- Co-authors
- Aravinthan D. T. Samuel (6 shared papers)Mei Zhen (8 shared papers)Ben Mulcahy (6 shared papers)James K. Mitchell (4 shared papers)Andrew Chisholm (4 shared papers)Douglas Holmyard (3 shared papers)Yaron Meirovitch (2 shared papers)Daniel R. Berger (2 shared papers)
- Journals
- Current Biology (2 papers)Bioinformatics (1 paper)Neurophotonics (1 paper)Cell Reports (1 paper)Frontiers in Neural Circuits (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Daniel Witvliet
12 papers receiving 508 citations
Daniel Witvliet's Hit Papers
Peers
Comparison fields: 5 of 85
- Aging 210
- Structural Biology 33
- Endocrine and Autonomic Systems 116
- Biophysics 51
- Cellular and Molecular Neuroscience 137
Countries citing papers authored by Daniel Witvliet
This map shows the geographic impact of Daniel Witvliet'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 Daniel Witvliet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Witvliet more than expected).
Fields of papers citing papers by Daniel Witvliet
This network shows the impact of papers produced by Daniel Witvliet. 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 Daniel Witvliet. The network helps show where Daniel Witvliet may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Witvliet, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Connectomes across development reveal principles of brain maturation Hit paper breakdown → | 2021 | 223 |
| 2 | 2016 | 59 | |
| 3 | 2022 | 46 | |
| 4 | 2021 | 35 | |
| 5 | 2016 | 33 | |
| 6 | 2018 | 31 | |
| 7 | 2017 | 27 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2018 | 11 | |
| 12 | 2021 | 10 |
About Daniel Witvliet
Daniel Witvliet is a scholar working on Aging, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Molecular Biology and Social Psychology, having authored 12 papers that have together received 510 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (9 papers), Circadian rhythm and melatonin (5 papers), Photoreceptor and optogenetics research (4 papers), Neuroscience and Neural Engineering (2 papers), Intracranial Aneurysms: Treatment and Complications (1 paper), Vascular Malformations Diagnosis and Treatment (1 paper), Photosynthetic Processes and Mechanisms (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Aging (210 citations), Structural Biology (33 citations), Endocrine and Autonomic Systems (116 citations), Biophysics (51 citations) and Cellular and Molecular Neuroscience (137 citations). Daniel Witvliet has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Aravinthan D. T. Samuel, Mei Zhen, Ben Mulcahy, James K. Mitchell, Andrew Chisholm, Douglas Holmyard, Yaron Meirovitch, Daniel R. Berger, Richard Schalek and Yuelong Wu. Their work appears in journals such as Current Biology, Bioinformatics, Neurophotonics, Cell Reports and Frontiers in Neural Circuits.
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.