Helen Chapman
- Molecular Biology
- Physiology top 5%
- Endocrine and Autonomic Systems top 2%
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- John C. ClaphamJonathan R.S. ArchAndrea HaynesPaul YoungMichael A. CawthorneStephen A. SmithAmanda JohnsM. Tadayyon
- Topics
- Receptor Mechanisms and Signaling (7 papers)Adipose Tissue and Metabolism (7 papers)Pharmacological Effects and Assays (5 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Helen Chapman
20 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 681
- Physiology 460
- Endocrine and Autonomic Systems 435
- Cognitive Neuroscience 369
- Cellular and Molecular Neuroscience 247
Countries citing papers authored by Helen Chapman
This map shows the geographic impact of Helen Chapman'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 Helen Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helen Chapman more than expected).
Fields of papers citing papers by Helen Chapman
This network shows the impact of papers produced by Helen Chapman. 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 Helen Chapman. The network helps show where Helen Chapman may publish in the future.
Co-authorship network of co-authors of Helen Chapman
This figure shows the co-authorship network connecting the top 25 collaborators of Helen Chapman. A scholar is included among the top collaborators of Helen Chapman 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 Helen Chapman. Helen Chapman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 100 | |
| 2 | 1 | |
| 3 | 34 | |
| 4 | 35 | |
| 5 | 36 | |
| 6 | 114 | |
| 7 | 177 | |
| 8 | 125 | |
| 9 | 34 | |
| 10 | 263 | |
| 11 | Studies on a novel selective beta(3)-adrenoceptor agonist in human right atrial appendage and human white adipocytes | 1 |
| 12 | 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 |
| 13 | 90 | |
| 14 | 23 | |
| 15 | 8 | |
| 16 | 33 | |
| 17 | 8 | |
| 18 | 2 | |
| 19 | Additional evidence for functional subclassification of alpha-2 adrenoceptors based on a new selective antagonist, SK&F 104856. | 13 |
| 20 | 101 |
About Helen Chapman
Helen Chapman is a scholar working on Cellular and Molecular Neuroscience, Animal Science and Zoology and Endocrine and Autonomic Systems, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Adipose Tissue and Metabolism (7 papers) and Pharmacological Effects and Assays (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (435 citations), Cognitive Neuroscience (369 citations) and Physiology (460 citations). Helen Chapman has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include John C. Clapham, Jonathan R.S. Arch, Andrea Haynes, Paul Young, Michael A. Cawthorne, Stephen A. Smith, Amanda Johns, M. Tadayyon, Roderick A. Porter and Brian A. Jackson. Their work appears in journals such as Journal of Biological Chemistry, 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.