Tom Sheeran
Impact in
- Rheumatology top 5%
- Rheumatoid Arthritis Research and Therapies
- Systemic Lupus Erythematosus Research
- Spondyloarthritis Studies and Treatments
- Pathology and Forensic Medicine top 10%
- Systemic Sclerosis and Related Diseases
Papers in
- Rheumatology 17
- Rheumatoid Arthritis Research and Therapies 14
- Spondyloarthritis Studies and Treatments 4
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- Biosimilars and Bioanalytical Methods 4
- Co-authors
- Maxime Dougados (1 shared paper)F. Navarro-Sarabia (1 shared paper)T. Huizinga (1 shared paper)Georg Schett (1 shared paper)Paul P. Tak (1 shared paper)Emilio Martín Mola (1 shared paper)Howard Amital (1 shared paper)Philip G. Conaghan (1 shared paper)
- Journals
- Annals of the Rheumatic Diseases (9 papers)Lara D. Veeken (7 papers)Advances in Therapy (2 papers)The Lancet Rheumatology (2 papers)Clinical Rheumatology (1 paper)
- Partner nations
- United KingdomGermanySpain
In The Last Decade
Tom Sheeran
30 papers receiving 480 citations
Peers
Comparison fields: 5 of 61
- Rheumatology 266
- Pathology and Forensic Medicine 144
- Hematology 67
- Dermatology 40
- Immunology 59
Countries citing papers authored by Tom Sheeran
This map shows the geographic impact of Tom Sheeran'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 Tom Sheeran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Sheeran more than expected).
Fields of papers citing papers by Tom Sheeran
This network shows the impact of papers produced by Tom Sheeran. 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 Tom Sheeran. The network helps show where Tom Sheeran may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Sheeran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 234 | |
| 2 | 1992 | 77 | |
| 3 | 1993 | 70 | |
| 4 | 2017 | 14 | |
| 5 | 2012 | 11 | |
| 6 | 2003 | 10 | |
| 7 | 2008 | 10 | |
| 8 | 2018 | 9 | |
| 9 | 2021 | 8 | |
| 10 | 2020 | 8 | |
| 11 | 1998 | 7 | |
| 12 | 2018 | 6 | |
| 13 | 2016 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2020 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2020 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2016 | 2 |
About Tom Sheeran
Tom Sheeran is a scholar working on Rheumatology, Immunology, Infectious Diseases, Pathology and Forensic Medicine and Health, having authored 33 papers that have together received 496 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (14 papers), Spondyloarthritis Studies and Treatments (4 papers), Biosimilars and Bioanalytical Methods (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Systemic Sclerosis and Related Diseases (3 papers), Adolescent and Pediatric Healthcare (2 papers) and Telemedicine and Telehealth Implementation (2 papers). The work is most often cited by research in Rheumatology (266 citations), Pathology and Forensic Medicine (144 citations), Hematology (67 citations), Dermatology (40 citations) and Immunology (59 citations). Tom Sheeran has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent co-authors include Maxime Dougados, F. Navarro-Sarabia, T. Huizinga, Georg Schett, Paul P. Tak, Emilio Martín Mola, Howard Amital, Philip G. Conaghan, K. Kissel and Corrado Bernasconi. Their work appears in journals such as Annals of the Rheumatic Diseases, Lara D. Veeken, Advances in Therapy, The Lancet Rheumatology and Clinical Rheumatology.
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.