G. S. Panayi
- Rheumatology top 0.5%
- Rheumatoid Arthritis Research and Therapies 19
- Systemic Lupus Erythematosus Research 15
- Spondyloarthritis Studies and Treatments 7
- Immunology top 2%
- Immunodeficiency and Autoimmune Disorders 7
- Psoriasis: Treatment and Pathogenesis 6
- Toxin Mechanisms and Immunotoxins 4
- Hematology top 5%
- Genetics top 5%
- Diabetes and associated disorders 4
- Immunology and Allergy top 10%
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- Monoclonal and Polyclonal Antibodies Research 10
- Co-authors
- John E. MorleyR. A. WolstencroftM. MatthewD. C. DumondeWilliam HowsonErnest ChoyMichael CorkillValerie Corrigall
- Cited by
- RheumatologyImmunologyHematology
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
G. S. Panayi
57 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Rheumatology 1.0k
- Immunology 970
- Hematology 332
- Genetics 179
- Immunology and Allergy 77
Countries citing papers authored by G. S. Panayi
This map shows the geographic impact of G. S. Panayi'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 G. S. Panayi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. S. Panayi more than expected).
Fields of papers citing papers by G. S. Panayi
This network shows the impact of papers produced by G. S. Panayi. 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 G. S. Panayi. The network helps show where G. S. Panayi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G. S. Panayi, 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 | 2011 | 29 | |
| 2 | 2005 | 57 | |
| 3 | 2005 | 85 | |
| 4 | 2005 | 47 | |
| 5 | 2002 | 428 | |
| 6 | 2001 | 85 | |
| 7 | 2000 | 125 | |
| 8 | 2000 | 45 | |
| 9 | 1998 | 87 | |
| 10 | The value of percentage of CD8+ T lymphocyte levels in distinguishing polymyalgia rheumatica from early rheumatoid arthritis. | 1995 | 6 |
| 11 | 1994 | 30 | |
| 12 | 1993 | 25 | |
| 13 | 1993 | 8 | |
| 14 | Sjögren's Syndrome: A Model for Understanding Autoimmunity | 1991 | 5 |
| 15 | 1991 | 7 | |
| 16 | 1990 | 10 | |
| 17 | 1989 | 26 | |
| 18 | 1989 | 13 | |
| 19 | 1988 | 4 | |
| 20 | 1970 | 1 |
About G. S. Panayi
G. S. Panayi is a scholar working on Rheumatology, Immunology and Hematology, having authored 57 papers that have together received 2.4k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (19 papers), Systemic Lupus Erythematosus Research (15 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Spondyloarthritis Studies and Treatments (7 papers), Immunodeficiency and Autoimmune Disorders (7 papers), Psoriasis: Treatment and Pathogenesis (6 papers), Toxin Mechanisms and Immunotoxins (4 papers) and Diabetes and associated disorders (4 papers). The work is most often cited by research in Rheumatology (1.0k citations), Immunology (970 citations) and Hematology (332 citations). G. S. Panayi has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include John E. Morley, R. A. Wolstencroft, M. Matthew, D. C. Dumonde, William Howson, Ernest Choy, Michael Corkill, Valerie Corrigall, Bhaskar DasGupta and Bruce Kirkham. Their work appears in journals such as Nature, Annals of the Rheumatic Diseases and Drugs.
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.