David Zenisek
Impact in
-
- Photoreceptor and optogenetics research
- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Cell Biology top 1%
- Cellular transport and secretion
Papers in
-
- Photoreceptor and optogenetics research 21
- Neuroscience and Neuropharmacology Research 16
- Neuroscience and Neural Engineering 3
- Cell Biology 22
- Cellular transport and secretion 21
- Co-authors
- Christien J. MerrifieldGary MatthewsDavid PerraisW. AlmersWolfhard AlmersBhupesh MehtaMorris E. FeldmanSeong Jin An
- Journals
- Journal of Neuroscience (8 papers)Neuron (4 papers)Journal of Neurophysiology (3 papers)Microscopy and Microanalysis (2 papers)Nature Neuroscience (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
David Zenisek
43 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 101
- Cellular and Molecular Neuroscience 1.3k
- Cell Biology 1.1k
- Sensory Systems 274
- Biophysics 162
- Molecular Biology 1.9k
Countries citing papers authored by David Zenisek
This map shows the geographic impact of David Zenisek'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 David Zenisek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Zenisek more than expected).
Fields of papers citing papers by David Zenisek
This network shows the impact of papers produced by David Zenisek. 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 David Zenisek. The network helps show where David Zenisek may publish in the future.
Co-authors
The 25 scholars most cited alongside David Zenisek, 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 | 2024 | 2 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 27 | |
| 5 | 2022 | 12 | |
| 6 | 2022 | 1 | |
| 7 | 2022 | 24 | |
| 8 | 2019 | 11 | |
| 9 | 2018 | 183 | |
| 10 | 2016 | 54 | |
| 11 | 2015 | 20 | |
| 12 | 2013 | 52 | |
| 13 | 2013 | 14 | |
| 14 | 2011 | 130 | |
| 15 | 2011 | 102 | |
| 16 | 2010 | 32 | |
| 17 | 2009 | 32 | |
| 18 | 2007 | 27 | |
| 19 | 2004 | 53 | |
| 20 | 2000 | 136 |
About David Zenisek
David Zenisek is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Biophysics, Molecular Biology and Sensory Systems, having authored 44 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cellular transport and secretion (21 papers), Photoreceptor and optogenetics research (21 papers), Retinal Development and Disorders (20 papers), Lipid Membrane Structure and Behavior (17 papers), Neuroscience and Neuropharmacology Research (16 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Neuroscience and Neural Engineering (3 papers) and Connexins and lens biology (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Cell Biology (1.1k citations), Sensory Systems (274 citations), Biophysics (162 citations) and Molecular Biology (1.9k citations). David Zenisek has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Christien J. Merrifield, Gary Matthews, David Perrais, W. Almers, Wolfhard Almers, Bhupesh Mehta, Morris E. Feldman, Seong Jin An, Lei Wan and Viviana Davila. Their work appears in journals such as Journal of Neuroscience, Neuron, Journal of Neurophysiology, Microscopy and Microanalysis and Nature Neuroscience.
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.