Clare Marshall
- Physiology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Epidemiology
- Pediatrics, Perinatology and Child Health top 5%
- Immunology
- Co-authors
- Stephen T. HolgateGwendolyn SandersonSebastian L. JohnstonJonathan CorneSandra H. SmithDavid G. GadianAlan LucasW.K. Chong
- Topics
- Parasitic Diseases Research and Treatment (2 papers)Advanced Statistical Process Monitoring (2 papers)Statistical Methods in Clinical Trials (2 papers)
- Partner nations
- United KingdomUnited StatesEcuador
In The Last Decade
Clare Marshall
13 papers receiving 980 citations
Peers
Comparison fields: 5 of 113
- Physiology 320
- Pulmonary and Respiratory Medicine 293
- Epidemiology 246
- Pediatrics, Perinatology and Child Health 245
- Immunology 158
Countries citing papers authored by Clare Marshall
This map shows the geographic impact of Clare Marshall'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 Clare Marshall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clare Marshall more than expected).
Fields of papers citing papers by Clare Marshall
This network shows the impact of papers produced by Clare Marshall. 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 Clare Marshall. The network helps show where Clare Marshall may publish in the future.
Co-authorship network of co-authors of Clare Marshall
This figure shows the co-authorship network connecting the top 25 collaborators of Clare Marshall. A scholar is included among the top collaborators of Clare Marshall 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 Clare Marshall. Clare Marshall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 12 | |
| 3 | 8 | |
| 4 | 52 | |
| 5 | 15 | |
| 6 | Supplemental Material for Bayesian Modelling of Difierential Gene Expression | 5 |
| 7 | 55 | |
| 8 | 59 | |
| 9 | 5 | |
| 10 | 56 | |
| 11 | Prediction of community prevalence of human onchocerciasis in the Amazonian onchocerciasis focus: Bayesian approach. | 24 |
| 12 | 441 | |
| 13 | 273 |
About Clare Marshall
Clare Marshall is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Health Information Management, having authored 13 papers that have together received 1.0k indexed citations. Recurring topics across this work include Parasitic Diseases Research and Treatment (2 papers), Advanced Statistical Process Monitoring (2 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Emergency Medical Services (114 citations), Pediatrics, Perinatology and Child Health (245 citations) and Physiology (320 citations). Clare Marshall has collaborated with scholars based in United Kingdom, United States and Ecuador. Frequent co-authors include Stephen T. Holgate, Gwendolyn Sanderson, Sebastian L. Johnston, Jonathan Corne, Sandra H. Smith, David G. Gadian, Alan Lucas, W.K. Chong, Stephen J. Wood and Faraneh Vargha‐Khadem. Their work appears in journals such as The Lancet, Biometrics and Pediatric Research.
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.