Philip Terry

2.6k citations
81 papers · 2.0k · h-index 24

Impact in

Papers in

Philip Terry

81 papers receiving 2.0k citations

Peers

Philip Terry
Comparison fields: 5 of 138
  • Cellular and Molecular Neuroscience 1.0k
  • Toxicology 137
  • Endocrine and Autonomic Systems 131
  • Behavioral Neuroscience 61
  • Pharmacology 261
Replace Mark LeSage with:
Mark LeSage United States
José Francisco Navarro Spain
Paul Brown United States
Étienne Quertemont Belgium
Christine H. Wichems United States
Jonathan B. Kamien United States
Ellen A. Walker United States
Paul W. Czoty United States
Roberta M. Palmour Canada
K. Steven LaForge United States
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Citations per field
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Citations per year

Countries citing papers authored by Philip Terry

Since Specialization
Citations

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

Fields of papers citing papers by Philip Terry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991165
2 2018111
3 1992106
4 199489
5 199188
6 201982
7 200374
8 200471
9 199563
10 199359
11 199458
12 200057
13 200656
14 200352
15 199852
16 199241
17 199939
18 199738
19 197737
20 200231

About Philip Terry

Philip Terry is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Social Psychology, Pharmacology and Clinical Psychology, having authored 81 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (32 papers), Receptor Mechanisms and Signaling (15 papers), Neuroscience and Neuropharmacology Research (15 papers), Neuroendocrine regulation and behavior (11 papers), Cannabis and Cannabinoid Research (6 papers), Stress Responses and Cortisol (6 papers), Eating Disorders and Behaviors (5 papers) and Animal Genetics and Reproduction (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Toxicology (137 citations), Endocrine and Autonomic Systems (131 citations), Behavioral Neuroscience (61 citations) and Pharmacology (261 citations). Philip Terry has collaborated with scholars based in United Kingdom, United States and Bulgaria. Frequent co-authors include Jonathan L. Katz, Jeffrey M. Witkin, Rajeev I. Desai, Suzanne Higgs, David J. Barber, David E. Nichols, Muthanna Samara, Aiman El Asam, Ezio Tirelli and Sari Izenwasser. Their work appears in journals such as Psychopharmacology, Behavioural Pharmacology, Pharmacology Biochemistry and Behavior, Appetite and European Journal of Pharmacology.

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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