Stephen Wanaski

642 citations
21 papers · 530 · h-index 7

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

Stephen Wanaski

18 papers receiving 522 citations

Peers

Stephen Wanaski
Comparison fields: 5 of 74
  • Cell Biology 170
  • Molecular Biology 376
  • Physiology 68
  • Immunology and Allergy 14
  • Cellular and Molecular Neuroscience 43
Replace Dharini van der Hoeven with:
Dharini van der Hoeven United States
Kenji Takikawa Japan
Chamila N. Rupasinghe United States
Chuong Nguyen United States
Aenoch J. Lynn United States
Sophia C. Goodchild Australia
Jorge D. Cortese United States
Katja Gehrig‐Burger Germany
Lorena A. Kallal United States
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Citations per field
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Dharini van der Hoeven · 1×
Citations per year

Countries citing papers authored by Stephen Wanaski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Stephen Wanaski Line = papers co-authored together Stephen Wanaski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996196
2 1998164
3 200280
4 201426
5 201020
6 202319
7 201111
8 20193
9 20202
10 20251
11 20231
12 20161
13 20161
14 20161
15 20161
16 20211
17 20231
18 20191
19 20250
20 20130

About Stephen Wanaski

Stephen Wanaski is a scholar working on Cognitive Neuroscience, Molecular Biology, Clinical Psychology, Cell Biology and Physiology, having authored 21 papers that have together received 530 indexed citations. Recurring topics across this work include Obsessive-Compulsive Spectrum Disorders (6 papers), Sleep and Wakefulness Research (3 papers), Autism Spectrum Disorder Research (3 papers), Cellular transport and secretion (2 papers), Epilepsy research and treatment (2 papers), Muscle Physiology and Disorders (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Cell Biology (170 citations), Molecular Biology (376 citations), Physiology (68 citations), Immunology and Allergy (14 citations) and Cellular and Molecular Neuroscience (43 citations). Stephen Wanaski has collaborated with scholars based in United States. Frequent co-authors include Stuart McLaughlin, Michael Gläser, M. Gläser, Benjamin Ng, Carolyn A. Buser, Glenn D. Prestwich, Jian Chen, Alan Aderem, Loren W. Runnels and Suzanne Scarlata. Their work appears in journals such as Neurology, Neuromuscular Disorders, SLEEP, Journal of Pain and Biochemistry.

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.

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