David M. Hughes
- Rheumatology top 2%
- Immunology top 10%
- Infectious Diseases top 10%
- Hematology top 5%
- Oncology
- Co-authors
- Sizheng Steven ZhaoNicola GoodsonSonal GuptaMarta García‐FiñanaBradley PittamNicholas L HarrisonStephen DuffieldRobert J. Moots
- Topics
- Spondyloarthritis Studies and Treatments (15 papers)Rheumatoid Arthritis Research and Therapies (12 papers)SARS-CoV-2 detection and testing (9 papers)
- Cited by
- RheumatologyImmunologyHematology
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Clinical Oncology
- Partner nations
- United KingdomUnited StatesCzechia
In The Last Decade
David M. Hughes
77 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 130
- Rheumatology 459
- Immunology 341
- Infectious Diseases 167
- Hematology 152
- Oncology 133
Countries citing papers authored by David M. Hughes
This map shows the geographic impact of David M. Hughes'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 David M. Hughes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Hughes more than expected).
Fields of papers citing papers by David M. Hughes
This network shows the impact of papers produced by David M. Hughes. 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 David M. Hughes. The network helps show where David M. Hughes may publish in the future.
Co-authorship network of co-authors of David M. Hughes
This figure shows the co-authorship network connecting the top 25 collaborators of David M. Hughes. A scholar is included among the top collaborators of David M. Hughes 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 David M. Hughes. David M. Hughes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 12 | |
| 9 | 7 | |
| 10 | 43 | |
| 11 | 6 | |
| 12 | 21 | |
| 13 | 2 | |
| 14 | 63 | |
| 15 | 43 | |
| 16 | 13 | |
| 17 | 4 | |
| 18 | 93 | |
| 19 | 22 | |
| 20 | 3 |
About David M. Hughes
David M. Hughes is a scholar working on Applied Microbiology and Biotechnology, Rheumatology and Modeling and Simulation, having authored 87 papers that have together received 1.2k indexed citations. Recurring topics across this work include Spondyloarthritis Studies and Treatments (15 papers), Rheumatoid Arthritis Research and Therapies (12 papers) and SARS-CoV-2 detection and testing (9 papers). The work is most often cited by research in Rheumatology (459 citations), Immunology (341 citations) and Hematology (152 citations). David M. Hughes has collaborated with scholars based in United Kingdom, United States and Czechia. Frequent co-authors include Sizheng Steven Zhao, Nicola Goodson, Sonal Gupta, Marta García‐Fiñana, Bradley Pittam, Nicholas L Harrison, Stephen Duffield, Robert J. Moots, Iain Buchan and Christopher P. Cheyne. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.
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.