Stephen Wanaski
Impact in
- Cell Biology top 10%
- Cellular transport and secretion
- Caveolin-1 and cellular processes
- Cellular Mechanics and Interactions
-
- Lipid Membrane Structure and Behavior
- Protein Kinase Regulation and GTPase Signaling
- Protein Structure and Dynamics
- RNA Interference and Gene Delivery
Papers in
-
- Autism Spectrum Disorder Research 5
- Sleep and Wakefulness Research 3
- EEG and Brain-Computer Interfaces 2
-
- Lipid Membrane Structure and Behavior 2
- Co-authors
- Stuart McLaughlin (2 shared papers)Michael Gläser (2 shared papers)Peng Luan (1 shared paper)M. Gläser (1 shared paper)Benjamin Ng (1 shared paper)Suzanne Scarlata (1 shared paper)Jian Chen (1 shared paper)Mario J. Rebecchi (1 shared paper)
- Journals
- Neurology (5 papers)SLEEP (2 papers)Neuromuscular Disorders (2 papers)Sleep Medicine (1 paper)Journal of Pain (1 paper)
- Partner nations
- United States
In The Last Decade
Stephen Wanaski
17 papers receiving 519 citations
Peers
Comparison fields: 5 of 79
- Cell Biology 173
- Molecular Biology 387
- Physiology 71
- Cellular and Molecular Neuroscience 45
- Immunology and Allergy 14
Countries citing papers authored by Stephen Wanaski
This map shows the geographic impact of Stephen Wanaski'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 Stephen Wanaski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Wanaski more than expected).
Fields of papers citing papers by Stephen Wanaski
This network shows the impact of papers produced by Stephen Wanaski. 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 Stephen Wanaski. The network helps show where Stephen Wanaski may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Wanaski, 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 | 1996 | 195 | |
| 2 | 1998 | 164 | |
| 3 | 2002 | 80 | |
| 4 | 2014 | 26 | |
| 5 | 2010 | 21 | |
| 6 | 2023 | 17 | |
| 7 | 2011 | 11 | |
| 8 | 2019 | 3 | |
| 9 | 2020 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2016 | 1 | |
| 12 | 2016 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2016 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2016 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2013 | 0 | |
| 20 | 2025 | 0 |
About Stephen Wanaski
Stephen Wanaski is a scholar working on Cognitive Neuroscience, Molecular Biology, Clinical Psychology, Cell Biology and Physiology, having authored 20 papers that have together received 527 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (5 papers), Obsessive-Compulsive Spectrum Disorders (5 papers), Sleep and Wakefulness Research (3 papers), Lipid Membrane Structure and Behavior (2 papers), Epilepsy research and treatment (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Attention Deficit Hyperactivity Disorder (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Cell Biology (173 citations), Molecular Biology (387 citations), Physiology (71 citations), Cellular and Molecular Neuroscience (45 citations) and Immunology and Allergy (14 citations). Stephen Wanaski has collaborated with scholars based in United States. Frequent co-authors include Stuart McLaughlin, Michael Gläser, Peng Luan, M. Gläser, Benjamin Ng, Suzanne Scarlata, Jian Chen, Mario J. Rebecchi, Andrew J. Morris and Loren W. Runnels. Their work appears in journals such as Neurology, SLEEP, Neuromuscular Disorders, Sleep Medicine and Journal of Pain.
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.