Paul J. Emmerson
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Endocrine and Autonomic Systems top 5%
- Co-authors
- Fedor MedzihradskyJ H WoodsHuda AkilMary J. ClarkAlfred MansourRichard J. MillerGregory A. KinneyKyle W. Sloop
- Topics
- Neuropeptides and Animal Physiology (19 papers)Receptor Mechanisms and Signaling (18 papers)Pharmacological Receptor Mechanisms and Effects (8 papers)
- Cited by
- Cellular and Molecular NeuroscienceEndocrine and Autonomic SystemsEndocrinology, Diabetes and Metabolism
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Paul J. Emmerson
34 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 833
- Cellular and Molecular Neuroscience 794
- Physiology 460
- Endocrinology, Diabetes and Metabolism 373
- Endocrine and Autonomic Systems 214
Countries citing papers authored by Paul J. Emmerson
This map shows the geographic impact of Paul J. Emmerson'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 Paul J. Emmerson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul J. Emmerson more than expected).
Fields of papers citing papers by Paul J. Emmerson
This network shows the impact of papers produced by Paul J. Emmerson. 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 Paul J. Emmerson. The network helps show where Paul J. Emmerson may publish in the future.
Co-authorship network of co-authors of Paul J. Emmerson
This figure shows the co-authorship network connecting the top 25 collaborators of Paul J. Emmerson. A scholar is included among the top collaborators of Paul J. Emmerson 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 Paul J. Emmerson. Paul J. Emmerson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 6 | |
| 3 | 52 | |
| 4 | 8 | |
| 5 | 48 | |
| 6 | Tirzepatide is an imbalanced and biased dual GIP and GLP-1 receptor agonistbreakdown → | 314 |
| 7 | 63 | |
| 8 | 29 | |
| 9 | 134 | |
| 10 | 14 | |
| 11 | 9 | |
| 12 | 10 | |
| 13 | 8 | |
| 14 | 11 | |
| 15 | 9 | |
| 16 | 66 | |
| 17 | 32 | |
| 18 | 46 | |
| 19 | 167 | |
| 20 | 10 |
About Paul J. Emmerson
Paul J. Emmerson is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (19 papers), Receptor Mechanisms and Signaling (18 papers) and Pharmacological Receptor Mechanisms and Effects (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (794 citations), Endocrine and Autonomic Systems (214 citations) and Endocrinology, Diabetes and Metabolism (373 citations). Paul J. Emmerson has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Fedor Medzihradsky, J H Woods, Huda Akil, Mary J. Clark, Alfred Mansour, Richard J. Miller, Gregory A. Kinney, Kyle W. Sloop, Kevin L. Duffin and Sudhakar Chintharlapalli. Their work appears in journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.
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.