Patricia M. Hinkle
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Nutrition and Dietetics top 1%
- Endocrine and Autonomic Systems top 0.5%
- Co-authors
- Armen H. TashjianJulien A. SebagRun YuEric J. NelsonAnthony PersechiniToru AizawaLaura E. KerperJohn J. Enyeart
- Topics
- Receptor Mechanisms and Signaling (40 papers)Neuropeptides and Animal Physiology (36 papers)Growth Hormone and Insulin-like Growth Factors (31 papers)
- Partner nations
- United StatesSpainIreland
In The Last Decade
Patricia M. Hinkle
127 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 2.8k
- Cellular and Molecular Neuroscience 1.6k
- Endocrinology, Diabetes and Metabolism 1.1k
- Nutrition and Dietetics 785
- Endocrine and Autonomic Systems 762
Countries citing papers authored by Patricia M. Hinkle
This map shows the geographic impact of Patricia M. Hinkle'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 M. Hinkle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia M. Hinkle more than expected).
Fields of papers citing papers by Patricia M. Hinkle
This network shows the impact of papers produced by Patricia M. Hinkle. 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 M. Hinkle. The network helps show where Patricia M. Hinkle may publish in the future.
Co-authorship network of co-authors of Patricia M. Hinkle
This figure shows the co-authorship network connecting the top 25 collaborators of Patricia M. Hinkle. A scholar is included among the top collaborators of Patricia M. Hinkle 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 M. Hinkle. Patricia M. Hinkle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 33 | |
| 3 | 18 | |
| 4 | 44 | |
| 5 | 108 | |
| 6 | 87 | |
| 7 | 143 | |
| 8 | 32 | |
| 9 | 2 | |
| 10 | 26 | |
| 11 | 16 | |
| 12 | 43 | |
| 13 | 41 | |
| 14 | 23 | |
| 15 | 20 | |
| 16 | 109 | |
| 17 | 13 | |
| 18 | 6 | |
| 19 | 3 | |
| 20 | 21 |
About Patricia M. Hinkle
Patricia M. Hinkle is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 127 papers that have together received 5.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (40 papers), Neuropeptides and Animal Physiology (36 papers) and Growth Hormone and Insulin-like Growth Factors (31 papers). The work is most often cited by research in Endocrine and Autonomic Systems (762 citations), Cellular and Molecular Neuroscience (1.6k citations) and Reproductive Medicine (571 citations). Patricia M. Hinkle has collaborated with scholars based in United States, Spain and Ireland. Frequent co-authors include Armen H. Tashjian, Julien A. Sebag, Run Yu, Eric J. Nelson, Anthony Persechini, Toru Aizawa, Laura E. Kerper, John J. Enyeart, Dennis J. McCance and RICHARD J. JEWERS. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.