S. Chambers
Impact in
- Rheumatology top 1%
- Systemic Lupus Erythematosus Research
- Statistics and Probability top 2%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Methods in Clinical Trials
Papers in
-
- Systemic Lupus Erythematosus Research 8
- Co-authors
- W. G. Cochran (1 shared paper)David Isenberg (8 shared papers)A. Rahman (1 shared paper)Elizabeth Allen (1 shared paper)Anisur Rahman (4 shared papers)Fiona Goldblatt (1 shared paper)Christopher Edwards (1 shared paper)Guy H. Neild (1 shared paper)
- Journals
- Lara D. Veeken (3 papers)Lupus (3 papers)Journal of Substance Abuse Treatment (1 paper)The Bone & Joint Journal (1 paper)Annals of the Rheumatic Diseases (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
S. Chambers
17 papers receiving 1.1k citations
S. Chambers's Hit Papers
Peers
Comparison fields: 5 of 129
- Rheumatology 553
- Statistics and Probability 242
- Immunology 165
- Nephrology 49
- Pathology and Forensic Medicine 70
Countries citing papers authored by S. Chambers
This map shows the geographic impact of S. Chambers'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 S. Chambers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Chambers more than expected).
Fields of papers citing papers by S. Chambers
This network shows the impact of papers produced by S. Chambers. 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 S. Chambers. The network helps show where S. Chambers may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Chambers, 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 | The Planning of Observational Studies of Human Populations Hit paper breakdown → | 1965 | 407 |
| 2 | 2009 | 188 | |
| 3 | 2009 | 137 | |
| 4 | 2006 | 136 | |
| 5 | 2008 | 69 | |
| 6 | 2016 | 55 | |
| 7 | 2008 | 49 | |
| 8 | 2008 | 38 | |
| 9 | 2007 | 33 | |
| 10 | 2009 | 29 | |
| 11 | 2002 | 21 | |
| 12 | 2009 | 20 | |
| 13 | 2015 | 19 | |
| 14 | 1992 | 12 | |
| 15 | 2011 | 6 | |
| 16 | 2025 | 1 | |
| 17 | 2016 | 1 | |
| 18 | A FEASIBILITY STUDY OF A TELEPHONE ENHANCEMENT PROCEDURE (TELE) TO IMPROVE PARTICIPATION IN CONTINUING CARE ACTIVITIES | 2003 | 0 |
About S. Chambers
S. Chambers is a scholar working on Rheumatology, Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology and Epidemiology, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (8 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), Telemedicine and Telehealth Implementation (1 paper), Prenatal Substance Exposure Effects (1 paper), Blood Pressure and Hypertension Studies (1 paper), Substance Abuse Treatment and Outcomes (1 paper) and Digital Mental Health Interventions (1 paper). The work is most often cited by research in Rheumatology (553 citations), Statistics and Probability (242 citations), Immunology (165 citations), Nephrology (49 citations) and Pathology and Forensic Medicine (70 citations). S. Chambers has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include W. G. Cochran, David Isenberg, A. Rahman, Elizabeth Allen, Anisur Rahman, Fiona Goldblatt, Christopher Edwards, Guy H. Neild, Rosalind Raine and Kanta Kumar. Their work appears in journals such as Lara D. Veeken, Lupus, Journal of Substance Abuse Treatment, The Bone & Joint Journal and Annals of the Rheumatic Diseases.
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.