Patricia J. Hey
- Molecular Biology
- Endocrine and Autonomic Systems top 2%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 10%
- Nutrition and Dietetics top 5%
- Co-authors
- J. Fred HessCatherine D. StraderM P GrazianoRoger CoxSheryl D. BrownJohn A. ToddRebecca C.J. TwellsMichael L. Metzker
- Topics
- Receptor Mechanisms and Signaling (8 papers)Neuropeptides and Animal Physiology (6 papers)Regulation of Appetite and Obesity (4 papers)
- Partner nations
- United StatesUnited KingdomIraq
In The Last Decade
Patricia J. Hey
23 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 674
- Endocrine and Autonomic Systems 346
- Cellular and Molecular Neuroscience 316
- Physiology 270
- Nutrition and Dietetics 216
Countries citing papers authored by Patricia J. Hey
This map shows the geographic impact of Patricia J. Hey'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 Patricia J. Hey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia J. Hey more than expected).
Fields of papers citing papers by Patricia J. Hey
This network shows the impact of papers produced by Patricia J. Hey. 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 Patricia J. Hey. The network helps show where Patricia J. Hey may publish in the future.
Co-authorship network of co-authors of Patricia J. Hey
This figure shows the co-authorship network connecting the top 25 collaborators of Patricia J. Hey. A scholar is included among the top collaborators of Patricia J. Hey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patricia J. Hey. Patricia J. Hey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The synthesis of a new homologue of mescaline. | 3 |
| 2 | 6 | |
| 3 | 19 | |
| 4 | 16 | |
| 5 | 111 | |
| 6 | 28 | |
| 7 | 23 | |
| 8 | 167 | |
| 9 | 168 | |
| 10 | 23 | |
| 11 | 25 | |
| 12 | 144 | |
| 13 | The amino terminal domain of the glucagon-like peptide-1 receptor is a critical determinant of subtype specificity. | 34 |
| 14 | 161 | |
| 15 | 58 | |
| 16 | 49 | |
| 17 | 42 | |
| 18 | 11 | |
| 19 | 15 | |
| 20 | 30 |
About Patricia J. Hey
Patricia J. Hey is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Genetics, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (6 papers) and Regulation of Appetite and Obesity (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (346 citations), Cellular and Molecular Neuroscience (316 citations) and Nutrition and Dietetics (216 citations). Patricia J. Hey has collaborated with scholars based in United States, United Kingdom and Iraq. Frequent co-authors include J. Fred Hess, Catherine D. Strader, M P Graziano, Roger Cox, Sheryl D. Brown, John A. Todd, Rebecca C.J. Twells, Michael L. Metzker, Lex H.T. Van der Ploeg and Xiao-Ming Guan. Their work appears in journals such as Nature, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.
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.