John N. S. Matthews
- Public Health, Environmental and Occupational Health top 5%
- Dermatology top 1%
- Molecular Biology
- Surgery top 10%
- Statistics and Probability top 1%
- Co-authors
- Douglas G. AltmanPeter S. FriedmannAshley AdamsonBrian DiffeyPetros PerrosA L CrombieP. Kendall‐TaylorP.M. Farr
- Topics
- Statistical Methods in Clinical Trials (17 papers)Obesity, Physical Activity, Diet (12 papers)Optimal Experimental Design Methods (11 papers)
- Journals
- The LancetPLoS ONEPEDIATRICS
- Partner nations
- United KingdomAustraliaNew Zealand
In The Last Decade
John N. S. Matthews
96 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 184
- Public Health, Environmental and Occupational Health 481
- Dermatology 460
- Molecular Biology 401
- Surgery 378
- Statistics and Probability 378
Countries citing papers authored by John N. S. Matthews
This map shows the geographic impact of John N. S. Matthews'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 John N. S. Matthews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John N. S. Matthews more than expected).
Fields of papers citing papers by John N. S. Matthews
This network shows the impact of papers produced by John N. S. Matthews. 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 John N. S. Matthews. The network helps show where John N. S. Matthews may publish in the future.
Co-authorship network of co-authors of John N. S. Matthews
This figure shows the co-authorship network connecting the top 25 collaborators of John N. S. Matthews. A scholar is included among the top collaborators of John N. S. Matthews 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 John N. S. Matthews. John N. S. Matthews 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 | 7 | |
| 4 | 29 | |
| 5 | 32 | |
| 6 | 79 | |
| 7 | 9 | |
| 8 | 44 | |
| 9 | 31 | |
| 10 | 49 | |
| 11 | 189 | |
| 12 | 86 | |
| 13 | 36 | |
| 14 | 75 | |
| 15 | 45 | |
| 16 | 53 | |
| 17 | 26 | |
| 18 | 2 | |
| 19 | 8 | |
| 20 | 11 |
About John N. S. Matthews
John N. S. Matthews is a scholar working on Statistics and Probability, Dermatology and Immunology and Allergy, having authored 98 papers that have together received 3.8k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (17 papers), Obesity, Physical Activity, Diet (12 papers) and Optimal Experimental Design Methods (11 papers). The work is most often cited by research in Dermatology (460 citations), Statistics and Probability (378 citations) and Immunology and Allergy (178 citations). John N. S. Matthews has collaborated with scholars based in United Kingdom, Australia and New Zealand. Frequent co-authors include Douglas G. Altman, Peter S. Friedmann, Ashley Adamson, Brian Diffey, Petros Perros, A L Crombie, P. Kendall‐Taylor, P.M. Farr, Christopher P. Day and R. Wayne Campbell. Their work appears in journals such as The Lancet, PLoS ONE and PEDIATRICS.
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.