Andrew A. Sharp

1.6k citations
23 papers · 1.2k · h-index 14

Impact in

Papers in

Andrew A. Sharp

23 papers receiving 1.2k citations

Peers

Andrew A. Sharp
Comparison fields: 5 of 109
  • Cellular and Molecular Neuroscience 748
  • Cognitive Neuroscience 652
  • Statistical and Nonlinear Physics 157
  • Endocrine and Autonomic Systems 51
  • Sensory Systems 33
Replace Alberto E. Pereda with:
Alberto E. Pereda United States
M. M. Goldin Russia
Udo Kraushaar Germany
Ulrich Egert Germany
Marina Chistiakova Germany
Élodie Fino France
Elisabeth C. Walcott United States
Jürg Streit Switzerland
Paolo Massobrio Italy
Norbert Ankri France
Andrew A. Sharp relative to Alberto E. Pereda United States Alberto E. Pereda's profile →
Citations per field
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Alberto E. Pereda · 1×
Citations per year

Countries citing papers authored by Andrew A. Sharp

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Andrew A. Sharp, 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 Andrew A. Sharp Line = papers co-authored together Andrew A. Sharp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993318
2 1993223
3 2008130
4 1996110
5 200683
6 201869
7 199261
8 201938
9 199632
10 201628
11 199925
12 200214
13 201113
14 199713
15 202310
16 20157
17 20156
18
Classroom-Based Research Experiences to Support Underserved STEM Student Success: From Introductory Inquiry to Optogenetics in the Embryonic Chicken.
20186
19 20155
20 19944

About Andrew A. Sharp

Andrew A. Sharp is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Biomedical Engineering, Cognitive Neuroscience and Physiology, 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), Photoreceptor and optogenetics research (3 papers), Neural dynamics and brain function (3 papers), Alzheimer's disease research and treatments (2 papers), Marine and coastal ecosystems (2 papers), stochastic dynamics and bifurcation (2 papers) and Marine Biology and Ecology Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (748 citations), Cognitive Neuroscience (652 citations), Statistical and Nonlinear Physics (157 citations), Endocrine and Autonomic Systems (51 citations) and Sensory Systems (33 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 Neurophysiology, Neuroscience, Developmental Psychobiology, Frontiers in Aging Neuroscience and Journal of 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.

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