Greg A. Gerhardt

23.1k citations
356 papers · 17.5k indexed · 1 hit paper · h-index 72

Greg A. Gerhardt

352 papers receiving 16.9k citations

Hit Papers

Nafion-coated electrodes with high selectivity for CNS el...5531984202619982012100200300400500

Peers

Greg A. Gerhardt
Comparison fields: 5 of 171
  • Cellular and Molecular Neuroscience 11.3k
  • Developmental Neuroscience 1.8k
  • Electrochemistry 1.5k
  • Cognitive Neuroscience 3.9k
  • Neurology 3.0k
Replace Ricardo Miledi with:
Ricardo Miledi United States
Richard W. Tsien United States
Margaret E. Rice United States
Urban Ungerstedt Sweden
David Sulzer United States
Trevor G. Smart United Kingdom
Bita Moghaddam United States
Christophe Bernard France
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C.A. Marsden United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Greg A. Gerhardt

Since Specialization
Citations

This map shows the geographic impact of Greg A. Gerhardt'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 Greg A. Gerhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg A. Gerhardt more than expected).

Fields of papers citing papers by Greg A. Gerhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Greg A. Gerhardt. 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 Greg A. Gerhardt. The network helps show where Greg A. Gerhardt may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20230
3 20227
4 20224
5 20211
6 20206
7 201914
8 20181
9 201580
10 201211
11 201191
12 200971
13
Two routes for L-dopa to be converted to dopamine
20082
14 200863
15 2006136
16 200250
17 1994157
18 1993330
19 1987349
20 198723

About Greg A. Gerhardt

Greg A. Gerhardt is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Neurology, having authored 356 papers that have together received 17.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (157 papers), Neurotransmitter Receptor Influence on Behavior (93 papers), Neuroscience and Neural Engineering (82 papers), Nerve injury and regeneration (60 papers), Parkinson's Disease Mechanisms and Treatments (57 papers), Neural dynamics and brain function (56 papers), Neurological disorders and treatments (54 papers) and Receptor Mechanisms and Signaling (33 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (11.3k citations), Developmental Neuroscience (1.8k citations) and Electrochemistry (1.5k citations). Greg A. Gerhardt has collaborated with scholars based in United States, Sweden and Portugal. Frequent co-authors include Don M. Gash, Peter Huettl, Barry J. Hoffer, Jason J. Burmeister, Wayne A. Cass, François Pomerleau, Nancy R. Zahniser, Alexander F. Hoffman, M Friedemann and Géza Nagy. Their work appears in journals such as Brain Research, Journal of Neurochemistry, Neurobiology of Aging, Journal of Pharmacology and Experimental Therapeutics and Experimental Neurology.

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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