Tim J. Vyse
Impact in
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Atherosclerosis and Cardiovascular Diseases
Papers in
- Immunology 10
- T-cell and B-cell Immunology 6
- Atherosclerosis and Cardiovascular Diseases 3
- Immune Cell Function and Interaction 3
-
- Systemic Lupus Erythematosus Research 7
- Co-authors
- Harinder Manku (1 shared paper)Kirsten M. Timms (1 shared paper)Julia Reid (1 shared paper)Philip L. De Jager (2 shared papers)Jerry S. Lanchbury (1 shared paper)John D. Rioux (1 shared paper)Susanne Wagner (1 shared paper)Angela M. Richardson (1 shared paper)
- Journals
- Genes and Immunity (2 papers)Arthritis Research & Therapy (2 papers)Neuromuscular Disorders (1 paper)Human Genetics (1 paper)Lara D. Veeken (1 paper)
- Partner nations
- United KingdomUnited StatesPhilippines
In The Last Decade
Tim J. Vyse
16 papers receiving 558 citations
Peers
Comparison fields: 5 of 58
- Rheumatology 217
- Immunology 292
- Genetics 78
- Neurology 21
- Oncology 66
Countries citing papers authored by Tim J. Vyse
This map shows the geographic impact of Tim J. Vyse'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 Tim J. Vyse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim J. Vyse more than expected).
Fields of papers citing papers by Tim J. Vyse
This network shows the impact of papers produced by Tim J. Vyse. 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 Tim J. Vyse. The network helps show where Tim J. Vyse may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim J. Vyse, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 101 | |
| 2 | 2014 | 91 | |
| 3 | 2017 | 66 | |
| 4 | 2007 | 64 | |
| 5 | 2006 | 50 | |
| 6 | 2018 | 46 | |
| 7 | 2007 | 42 | |
| 8 | 1994 | 28 | |
| 9 | 2019 | 27 | |
| 10 | 2008 | 14 | |
| 11 | 1991 | 12 | |
| 12 | 2008 | 10 | |
| 13 | 2015 | 9 | |
| 14 | 2006 | 7 | |
| 15 | 2009 | 5 | |
| 16 | 2000 | 1 | |
| 17 | 23. CD3Z POLYMORPHISM IS ASSOCIATED WITH REDUCED EXPRESSION OF THE TCRCHAIN: ENRICHMENT IN PATIENTS WITH SEVERE RHEUMATOID ARTHRITIS | 2006 | 0 |
About Tim J. Vyse
Tim J. Vyse is a scholar working on Immunology, Rheumatology, Molecular Biology, Epidemiology and Oncology, having authored 17 papers that have together received 573 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (7 papers), T-cell and B-cell Immunology (6 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Immune Cell Function and Interaction (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), RNA Research and Splicing (2 papers) and Liver Diseases and Immunity (1 paper). The work is most often cited by research in Rheumatology (217 citations), Immunology (292 citations), Genetics (78 citations), Neurology (21 citations) and Oncology (66 citations). Tim J. Vyse has collaborated with scholars based in United Kingdom, United States and Philippines. Frequent co-authors include Harinder Manku, Kirsten M. Timms, Julia Reid, Philip L. De Jager, Jerry S. Lanchbury, John D. Rioux, Susanne Wagner, Angela M. Richardson, Alexander Gutin and Deborah S. Cunninghame Graham. Their work appears in journals such as Genes and Immunity, Arthritis Research & Therapy, Neuromuscular Disorders, Human Genetics and Lara D. Veeken.
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.