Phil Skolnick

26.6k citations
430 papers · 21.9k indexed · 3 hit papers · h-index 77

Phil Skolnick

429 papers receiving 20.8k citations

Hit Papers

International Union of Pharmacology. XV. Subtypes of...1.0k19802026199520102505007501000

Peers

Phil Skolnick
Comparison fields: 5 of 166
  • Cellular and Molecular Neuroscience 14.4k
  • Biological Psychiatry 2.0k
  • Behavioral Neuroscience 1.6k
  • Developmental Neuroscience 675
  • Pharmacology 2.7k
Replace Arvid Carlsson with:
Arvid Carlsson Sweden
Mark J. Millan France
Robert H. Roth United States
Rémi Quirion Canada
Randy Blakely United States
Irwin J. Kopin United States
George R. Breese United States
E. Costa United States
Trevor Sharp United Kingdom
Toshitaka Nabeshima Japan
Phil Skolnick relative to Arvid Carlsson Sweden Arvid Carlsson's profile →
Citations per field
00.5×1.7×
Arvid Carlsson · 1×
Citations per year

Countries citing papers authored by Phil Skolnick

Since Specialization
Citations

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

Fields of papers citing papers by Phil Skolnick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phil Skolnick. 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 Phil Skolnick. The network helps show where Phil Skolnick may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 20249
4 201927
5 201944
6 201840
7 201218
8 20117
9 2009317
10 2003117
11 199925
12
Antidepressants : new pharmacological strategies
199751
13 1997105
14 199635
15
Direct and allosteric control of glutamate receptors
199442
16 199349
17 199073
18 19898
19 198817
20 197543

About Phil Skolnick

Phil Skolnick is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Physiology, having authored 430 papers that have together received 21.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (274 papers), Receptor Mechanisms and Signaling (82 papers), Neurotransmitter Receptor Influence on Behavior (77 papers), Ion channel regulation and function (61 papers), Pharmacological Receptor Mechanisms and Effects (35 papers), Epilepsy research and treatment (31 papers), Synthesis and pharmacology of benzodiazepine derivatives (30 papers) and Treatment of Major Depression (26 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (14.4k citations), Biological Psychiatry (2.0k citations) and Behavioral Neuroscience (1.6k citations). Phil Skolnick has collaborated with scholars based in United States, Poland and Belarus. Frequent co-authors include Steven M. Paul, Ramón Trullás, Piotr Popik, Anthony S. Basile, Ian A. Paul, Rochelle D. Schwartz, Richard T. Layer, Peter D. Suzdak, Jacqueline N. Crawley and Moshe Rehavi. Their work appears in journals such as European Journal of Pharmacology, Journal of Neurochemistry, Life Sciences, Pharmacology Biochemistry and Behavior and Journal of Medicinal Chemistry.

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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