Gregory Corder

3.3k citations
24 papers · 2.2k · 1 hit paper · h-index 16

Impact in

Papers in

Gregory Corder

23 papers receiving 2.2k citations

Gregory Corder's Hit Papers

Structure-based discovery of opioid analgesics with reduced side effects 2016 · 697 citations
6970+3+6Years since publication200400600

Peers

Gregory Corder
Comparison fields: 5 of 107
  • Cellular and Molecular Neuroscience 1.2k
  • Physiology 1.1k
  • Behavioral Neuroscience 112
  • Anesthesiology and Pain Medicine 125
  • Sensory Systems 72
Replace Thomas J. Martin with:
Thomas J. Martin United States
Wendy Walwyn United States
Santina Chiechio Italy
Patrick L. Sheets United States
Juan F. Herrero Spain
Carolyn A. Fairbanks United States
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Dominique Filliol France
Dennis Paúl United States
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Citations per field
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Citations per year

Countries citing papers authored by Gregory Corder

Since Specialization
Citations

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

Fields of papers citing papers by Gregory Corder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Structure-based discovery of opioid analgesics with reduced side effects
Hit paper breakdown →
2016697
2 2018291
3 2017258
4 2019252
5 2013184
6 2011112
7 2018108
8 201459
9 201942
10 202039
11 201338
12 201634
13 202221
14 202120
15 201020
16 202119
17 202014
18 20227
19 20235
20 20244

About Gregory Corder

Gregory Corder is a scholar working on Physiology, Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience and Pediatrics, Perinatology and Child Health, having authored 24 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (18 papers), Neuropeptides and Animal Physiology (12 papers), Pain Management and Placebo Effect (4 papers), Receptor Mechanisms and Signaling (4 papers), Pediatric Pain Management Techniques (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Psychedelics and Drug Studies (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Physiology (1.1k citations), Behavioral Neuroscience (112 citations), Anesthesiology and Pain Medicine (125 citations) and Sensory Systems (72 citations). Gregory Corder has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Grégory Scherrer, Bradley K. Taylor, Michael R. Bruchas, Daniel C. Castro, Renée R. Donahue, Mark J. Schnitzer, Biafra Ahanonu, Benjamin F. Grewe, Sarah Low and Dong Wang. Their work appears in journals such as Pain, Science, Nature Medicine, Scientific Reports and Journal of Pain.

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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