Matthew V. Sennitt
- Physiology top 2%
- Molecular Biology top 10%
- Animal Science and Zoology top 2%
- Cell Biology top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Michael A. CawthorneJonathan R.S. ArchShelagh WilsonCampbell WilsonValerie PiercyDenis F. HochstrasserVéronique ConversetSteven Wang
- Topics
- Adipose Tissue and Metabolism (18 papers)Pharmacological Effects and Assays (6 papers)Peroxisome Proliferator-Activated Receptors (4 papers)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Matthew V. Sennitt
22 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Physiology 868
- Molecular Biology 756
- Animal Science and Zoology 340
- Cell Biology 221
- Cellular and Molecular Neuroscience 195
Countries citing papers authored by Matthew V. Sennitt
This map shows the geographic impact of Matthew V. Sennitt'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 Matthew V. Sennitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew V. Sennitt more than expected).
Fields of papers citing papers by Matthew V. Sennitt
This network shows the impact of papers produced by Matthew V. Sennitt. 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 Matthew V. Sennitt. The network helps show where Matthew V. Sennitt may publish in the future.
Co-authorship network of co-authors of Matthew V. Sennitt
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew V. Sennitt. A scholar is included among the top collaborators of Matthew V. Sennitt 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 Matthew V. Sennitt. Matthew V. Sennitt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 56 | |
| 2 | 11 | |
| 3 | 92 | |
| 4 | 47 | |
| 5 | 74 | |
| 6 | 67 | |
| 7 | 132 | |
| 8 | Guggul lipid reduces insulin resistance and body weight gain in C57B1/6 lep/lep mice | 1 |
| 9 | 11 | |
| 10 | 46 | |
| 11 | The contribution of classical (beta1/2-) and atypical beta-adrenoceptors to the stimulation of human white adipocyte lipolysis and right atrial appendage contraction by novel beta3-adrenoceptor agonists of differing selectivities. | 53 |
| 12 | 23 | |
| 13 | 33 | |
| 14 | 4 | |
| 15 | 20 | |
| 16 | 27 | |
| 17 | 25 | |
| 18 | 26 | |
| 19 | Atypical β-adrenoceptor on brown adipocytes as target for anti-obesity drugsbreakdown → | 615 |
| 20 | 141 |
About Matthew V. Sennitt
Matthew V. Sennitt is a scholar working on Physiology, Animal Science and Zoology and Endocrine and Autonomic Systems, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (18 papers), Pharmacological Effects and Assays (6 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). The work is most often cited by research in Animal Science and Zoology (340 citations), Physiology (868 citations) and Endocrine and Autonomic Systems (145 citations). Matthew V. Sennitt has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Michael A. Cawthorne, Jonathan R.S. Arch, Shelagh Wilson, Campbell Wilson, Valerie Piercy, Denis F. Hochstrasser, Véronique Converset, Steven Wang, G. M. Schmid and Jacqueline O’Dowd. Their work appears in journals such as Nature, Diabetes 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.