Meredith Hay

3.9k citations
98 papers · 3.1k indexed · h-index 36

Meredith Hay

95 papers receiving 3.1k citations

Peers

Meredith Hay
Comparison fields: 5 of 114
  • Behavioral Neuroscience 349
  • Endocrine and Autonomic Systems 579
  • Endocrinology, Diabetes and Metabolism 866
  • Cardiology and Cardiovascular Medicine 1.0k
  • Cellular and Molecular Neuroscience 630
Replace Terry G. Beltz with:
Terry G. Beltz United States
Joseph R. Haywood United States
Peter Dominiak Germany
Paul J. Marvar United States
Jacob D. Peuler United States
Inés Armando United States
Robert B. Felder United States
John W. Osborn United States
Shun‐Guang Wei United States
Taka‐aki Koshimizu Japan
Meredith Hay relative to Terry G. Beltz United States Terry G. Beltz's profile →
Citations per field
00.5×1.7×
Terry G. Beltz · 1×
Citations per year

Countries citing papers authored by Meredith Hay

Since Specialization
Citations

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

Fields of papers citing papers by Meredith Hay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 20230
3 20238
4 202119
5 202116
6 201936
7 201735
8 201515
9 2014107
10 2014118
11 200944
12
Principles of sex-based differences in physiology
20049
13 20044
14 200333
15 200011
16 200050
17
The response to microinjection of glutamate in the nucleus of the solitary tract is dependent on ionotropic and metabotropic receptors
19971
18 199783
19 199632
20 19907

About Meredith Hay

Meredith Hay is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Anesthesiology and Pain Medicine, having authored 98 papers that have together received 3.1k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (22 papers), Neuroscience and Neuropharmacology Research (22 papers), Renin-Angiotensin System Studies (16 papers), Ion channel regulation and function (13 papers), Neuropeptides and Animal Physiology (10 papers), Neuroscience of respiration and sleep (10 papers), Estrogen and related hormone effects (9 papers) and Anesthesia and Sedative Agents (9 papers). The work is most often cited by research in Behavioral Neuroscience (349 citations), Endocrine and Autonomic Systems (579 citations) and Endocrinology, Diabetes and Metabolism (866 citations). Meredith Hay has collaborated with scholars based in United States, Brazil and China. Frequent co-authors include Baojian Xue, Jaya Pamidimukkala, Alan Kim Johnson, V. S. Bishop, Eileen M. Hasser, Dennis B. Lubahn, Fang Guo, Terry G. Beltz, Kathryn Sandberg and Diana L. Kunze. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Brain Research, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, The FASEB Journal and Journal of Neurophysiology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026