Andrew A. Sharp
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Statistical and Nonlinear Physics top 5%
- Electrical and Electronic Engineering
- Co-authors
- Eve MarderL. F. AbbottFrances K. SkinnerDiego RestrepoAlicia Moreno-OrtegaDouglas Curran‐EverettKenneth GallJohn H. Caldwell
- Topics
- Neurobiology and Insect Physiology Research (5 papers)Neuroscience and Neural Engineering (4 papers)Neural dynamics and brain function (3 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Andrew A. Sharp
23 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Cellular and Molecular Neuroscience 748
- Cognitive Neuroscience 652
- Molecular Biology 218
- Statistical and Nonlinear Physics 157
- Electrical and Electronic Engineering 135
Countries citing papers authored by Andrew A. Sharp
This map shows the geographic impact of Andrew A. Sharp'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 Andrew A. Sharp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew A. Sharp more than expected).
Fields of papers citing papers by Andrew A. Sharp
This network shows the impact of papers produced by Andrew A. Sharp. 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 Andrew A. Sharp. The network helps show where Andrew A. Sharp may publish in the future.
Co-authorship network of co-authors of Andrew A. Sharp
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew A. Sharp. A scholar is included among the top collaborators of Andrew A. Sharp based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew A. Sharp. Andrew A. Sharp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 38 | |
| 3 | 69 | |
| 4 | Classroom-Based Research Experiences to Support Underserved STEM Student Success: From Introductory Inquiry to Optogenetics in the Embryonic Chicken. | 6 |
| 5 | 28 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 13 | |
| 10 | 130 | |
| 11 | 83 | |
| 12 | 1 | |
| 13 | 14 | |
| 14 | 25 | |
| 15 | Dynamic clamp: computer-neural hybrids | 3 |
| 16 | 13 | |
| 17 | 110 | |
| 18 | 32 | |
| 19 | 223 | |
| 20 | 61 |
About Andrew A. Sharp
Andrew A. Sharp is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Sensory Systems, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (5 papers), Neuroscience and Neural Engineering (4 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (748 citations), Cognitive Neuroscience (652 citations) and Statistical and Nonlinear Physics (157 citations). Andrew A. Sharp has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Eve Marder, L. F. Abbott, L. F. Abbott, Frances K. Skinner, Diego Restrepo, Alicia Moreno-Ortega, Douglas Curran‐Everett, Kenneth Gall, John H. Caldwell and Anne Bekoff. Their work appears in journals such as Journal of Neuroscience, Trends in Neurosciences and Journal of Neurophysiology.
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.