Suzanne Doolen

2.0k citations
34 papers · 1.7k · h-index 18

Impact in

Papers in

Suzanne Doolen

32 papers receiving 1.6k citations

Peers

Suzanne Doolen
Comparison fields: 5 of 100
  • Endocrine and Autonomic Systems 375
  • Cellular and Molecular Neuroscience 715
  • Sensory Systems 96
  • Physiology 467
  • Biological Psychiatry 23
Replace Brenda K. Trail with:
Brenda K. Trail United Kingdom
Jia‐Min Zhuo United States
Takeshi Y. Hiyama Japan
Dong Kong United States
Ramalingam Vetrivelan United States
Marat V. Avshalumov United States
Alokesh Duttaroy United States
Christine Karschin Germany
Steven M. Simasko United States
Molina Mhatre United States
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Citations per field
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Brenda K. Trail · 1×
Citations per year

Countries citing papers authored by Suzanne Doolen

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Doolen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001269
2 1998204
3 2013194
4 2003163
5 2002146
6 2012109
7 200273
8 200160
9 201751
10 200641
11 201935
12 199734
13 201731
14 201931
15 201231
16 200229
17 199928
18
Melatonin and cardiovascular function.
199919
19 202018
20 201918

About Suzanne Doolen

Suzanne Doolen is a scholar working on Cellular and Molecular Neuroscience, Physiology, Endocrine and Autonomic Systems, Sensory Systems and Cell Biology, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (10 papers), Receptor Mechanisms and Signaling (5 papers), Circadian rhythm and melatonin (5 papers), Ion Channels and Receptors (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Nitric Oxide and Endothelin Effects (4 papers), Neuropeptides and Animal Physiology (4 papers) and Sphingolipid Metabolism and Signaling (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (375 citations), Cellular and Molecular Neuroscience (715 citations), Sensory Systems (96 citations), Physiology (467 citations) and Biological Psychiatry (23 citations). Suzanne Doolen has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Nancy R. Zahniser, SUE PIPER DUCKLES, Diana N. Krause, Bradley Kenneth Taylor, Margarita L. Dubocovich, Emilia Galperin, Tatiana Sorkina, Alexander D. Sorkin, Renée R. Donahue and Joshua Michael Gulley. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Alzheimer s & Dementia, Journal of Pain, F1000Research and American Journal of Physiology-Heart and Circulatory Physiology.

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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