Jo Varley‐Campbell
- Pulmonary and Respiratory Medicine
- Oncology
- Public Health, Environmental and Occupational Health
- Statistics, Probability and Uncertainty top 5%
- Epidemiology
- Co-authors
- Chris CooperAndrew BoothNicky BrittenRuth GarsideTristan SnowsillChris HydeHelen CoelhoLinda Long
- Topics
- Renal Transplantation Outcomes and Treatments (4 papers)Meta-analysis and systematic reviews (4 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Clinical Epidemiology
- Partner nations
- United KingdomAustraliaBrazil
In The Last Decade
Jo Varley‐Campbell
24 papers receiving 752 citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Pulmonary and Respiratory Medicine 115
- Oncology 101
- Public Health, Environmental and Occupational Health 86
- Statistics, Probability and Uncertainty 80
- Epidemiology 75
Countries citing papers authored by Jo Varley‐Campbell
This map shows the geographic impact of Jo Varley‐Campbell'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 Jo Varley‐Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jo Varley‐Campbell more than expected).
Fields of papers citing papers by Jo Varley‐Campbell
This network shows the impact of papers produced by Jo Varley‐Campbell. 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 Jo Varley‐Campbell. The network helps show where Jo Varley‐Campbell may publish in the future.
Co-authorship network of co-authors of Jo Varley‐Campbell
This figure shows the co-authorship network connecting the top 25 collaborators of Jo Varley‐Campbell. A scholar is included among the top collaborators of Jo Varley‐Campbell 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 Jo Varley‐Campbell. Jo Varley‐Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 35 | |
| 2 | 5 | |
| 3 | 14 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 47 | |
| 7 | 6 | |
| 8 | 13 | |
| 9 | 24 | |
| 10 | 7 | |
| 11 | 69 | |
| 12 | 7 | |
| 13 | 26 | |
| 14 | 23 | |
| 15 | Defining the process to literature searching in systematic reviews: a literature review of guidance and supporting studiesbreakdown → | 345 |
| 16 | 2 | |
| 17 | 0 | |
| 18 | 33 | |
| 19 | 9 | |
| 20 | 9 |
About Jo Varley‐Campbell
Jo Varley‐Campbell is a scholar working on Transplantation, History and Philosophy of Science and Statistics, Probability and Uncertainty, having authored 25 papers that have together received 776 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (4 papers), Meta-analysis and systematic reviews (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Transplantation (48 citations), Statistics, Probability and Uncertainty (80 citations) and Health Informatics (10 citations). Jo Varley‐Campbell has collaborated with scholars based in United Kingdom, Australia and Brazil. Frequent co-authors include Chris Cooper, Andrew Booth, Nicky Britten, Ruth Garside, Tristan Snowsill, Chris Hyde, Helen Coelho, Linda Long, Sophie Robinson and Martin Hoyle. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Clinical Epidemiology.
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.