Sue Paterson

5.2k citations
120 papers · 3.7k indexed · 1 hit paper · h-index 28

Sue Paterson

110 papers receiving 3.5k citations

Hit Papers

CLASSIFICATION OF OPIOID RECEPTORS6541983202619972011200400600

Peers

Sue Paterson
Comparison fields: 5 of 137
  • Cellular and Molecular Neuroscience 2.1k
  • Toxicology 305
  • Molecular Biology 2.0k
  • Equine 42
  • Small Animals 164
Replace G.J. Bennett with:
G.J. Bennett United States
Dennis F. Kohn United States
Brian A. Baldo Australia
J. Derrell Clark United States
Michale E. Keeling United States
J. Landon United Kingdom
Toshiro Sugiyama Japan
Janet C. Gonder United States
Richard J. Evans United Kingdom
David Gall Canada
Sue Paterson relative to G.J. Bennett United States G.J. Bennett's profile →
Citations per field
00.5×3.8×
G.J. Bennett · 1×
Citations per year

Countries citing papers authored by Sue Paterson

Since Specialization
Citations

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

Fields of papers citing papers by Sue Paterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 201822
3 201728
4 20165
5 201666
6 20157
7 201235
8 200914
9 200819
10 200669
11 200677
12 199554
13 199510
14 19959
15 199527
16 199412
17 198528
18
Activity profiles of opiates at the μ-, δ- and kappa-binding sites
19811
19 198099
20 19741

About Sue Paterson

Sue Paterson is a scholar working on Toxicology, Equine and Small Animals, having authored 120 papers that have together received 3.7k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (27 papers), Nail Diseases and Treatments (25 papers), Receptor Mechanisms and Signaling (22 papers), Veterinary Oncology Research (20 papers), Forensic Toxicology and Drug Analysis (18 papers), Pharmacological Receptor Mechanisms and Effects (17 papers), Ear Surgery and Otitis Media (11 papers) and Infectious Diseases and Mycology (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.1k citations), Toxicology (305 citations) and Molecular Biology (2.0k citations). Sue Paterson has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include H. W. Kosterlitz, Linda E. Robson, A.T. McKnight, Maureen Gc Gillan, A.D. Corbett, John A.H. Lord, Angela A. Waterfield, Bernard Mignon, Kimberly S. Coyner and Karen A. Moriello. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuroscience & Biobehavioral Reviews.

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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