Stephen M. Waters

1.0k citations
17 papers · 852 indexed · h-index 12

Impact in

Papers in

Stephen M. Waters

17 papers receiving 830 citations

Peers

Stephen M. Waters
Comparison fields: 5 of 79
  • Cellular and Molecular Neuroscience 533
  • Physiology 354
  • Endocrine and Autonomic Systems 82
  • Behavioral Neuroscience 30
  • Sensory Systems 39
Replace Helen H. Willcockson with:
Helen H. Willcockson United States
X-J Xu Sweden
Masamichi Satoh Japan
Kyle Valentino United States
Manuela Simonetti Germany
Niall C. H. Kerr United Kingdom
Dragoslava Živadinović United States
Krisztina Szabadfi Hungary
Alicia Seltzer Argentina
Stephen M. Waters relative to Helen H. Willcockson United States Helen H. Willcockson's profile →
Citations per field
00.5×1.6×
Helen H. Willcockson · 1×
Citations per year

Countries citing papers authored by Stephen M. Waters

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Waters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen M. Waters. 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 Stephen M. Waters. The network helps show where Stephen M. Waters may publish in the future.

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 201319
2 20103
3 200941
4 200911
5 200744
6 200522
7 2005323
8 200143
9 1999234
10 199717
11 199710
12 199610
13 199617
14 199512
15 199511
16 199413
17 198022

About Stephen M. Waters

Stephen M. Waters is a scholar working on Cellular and Molecular Neuroscience, Reproductive Medicine, Physiology, Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 17 papers that have together received 852 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (12 papers), Receptor Mechanisms and Signaling (6 papers), Pain Mechanisms and Treatments (4 papers), Hypothalamic control of reproductive hormones (2 papers), Ion channel regulation and function (2 papers), Peptidase Inhibition and Analysis (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (533 citations), Physiology (354 citations), Endocrine and Autonomic Systems (82 citations), Behavioral Neuroscience (30 citations) and Sensory Systems (39 citations). Stephen M. Waters has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include James E. Krause, Daniel N. Cortright, Thomas P. Davis, Jeremy Steflik, Richard J. Miller, Robert H. LaMotte, Chao Ma, Matthew S. Ripsch, Dongjun Ren and Fletcher A. White. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, The Journal of Comparative Neurology, Brain Research, The Journals of Gerontology Series A and Neurotherapeutics.

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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