Sue P. Duckles

8.5k citations
160 papers · 7.0k indexed · h-index 48

Sue P. Duckles

159 papers receiving 6.8k citations

Peers

Sue P. Duckles
Comparison fields: 5 of 133
  • Endocrine and Autonomic Systems 842
  • Endocrinology, Diabetes and Metabolism 1.8k
  • Cellular and Molecular Neuroscience 1.5k
  • Physiology 2.2k
  • Behavioral Neuroscience 273
Replace Diana N. Krause with:
Diana N. Krause United States
Robin L. Davisson United States
Colin Sumners United States
Pramod R. Saxena Netherlands
Dale A. Pelligrino United States
Lucio Annunziato Italy
Juan M. Saavedra United States
Thomas Herdegen Germany
Susan J. Vannucci United States
Sheila M. Gardiner United Kingdom
Sue P. Duckles relative to Diana N. Krause United States Diana N. Krause's profile →
Citations per field
00.5×1.6×
Diana N. Krause · 1×
Citations per year

Countries citing papers authored by Sue P. Duckles

Since Specialization
Citations

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

Fields of papers citing papers by Sue P. Duckles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201268
2 201138
3 201031
4 200737
5 20027
6 199864
7 199833
8 19976
9 199626
10 19956
11 19948
12 199330
13 199275
14 199213
15 19914
16 199024
17 199011
18 19897
19 198219
20 198022

About Sue P. Duckles

Sue P. Duckles is a scholar working on Cellular and Molecular Neuroscience, Physiology, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Neurology, having authored 160 papers that have together received 7.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (49 papers), Receptor Mechanisms and Signaling (47 papers), Nitric Oxide and Endothelin Effects (37 papers), Menopause: Health Impacts and Treatments (29 papers), Estrogen and related hormone effects (25 papers), Neuroscience and Neuropharmacology Research (19 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (18 papers) and Pain Mechanisms and Treatments (15 papers). The work is most often cited by research in Endocrine and Autonomic Systems (842 citations), Endocrinology, Diabetes and Metabolism (1.8k citations), Cellular and Molecular Neuroscience (1.5k citations), Physiology (2.2k citations) and Behavioral Neuroscience (273 citations). Sue P. Duckles has collaborated with scholars based in United States, Hungary and Spain. Frequent co-authors include Diana N. Krause, Virginia M. Miller, Greg G. Geary, John N. Buchholz, Vincent Procaccio, Dale A. Pelligrino, Anne Marie McNeill, Suzanne Doolen, Rayna J. Gonzales and Ali Razmara. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, European Journal of Pharmacology, American Journal of Physiology-Heart and Circulatory Physiology, Life Sciences and Neurobiology of Aging.

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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