Jacqueline E. Pearson
Impact in
- Rheumatology top 2%
- Rheumatoid Arthritis Research and Therapies
- Systemic Lupus Erythematosus Research
- Hematology top 10%
- Autoimmune and Inflammatory Disorders Research
Papers in
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- Advanced Biosensing Techniques and Applications 2
-
- Electrochemical sensors and biosensors 2
- Molecular Junctions and Nanostructures 1
- Co-authors
- Alan J. Silman (1 shared paper)Pankaj Vadgama (5 shared papers)Anita Gill (3 shared papers)John Kane (3 shared papers)Geoffrey P. Margison (1 shared paper)Andrew C. Povey (1 shared paper)James W. Kenny (1 shared paper)Fiona Ivison (1 shared paper)
- Journals
- Sensors and Actuators B Chemical (2 papers)Annals of Clinical Biochemistry International Journal of Laboratory Medicine (1 paper)Journal of Immunological Methods (1 paper)Electroanalysis (1 paper)Arthritis Research (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Jacqueline E. Pearson
6 papers receiving 856 citations
Jacqueline E. Pearson's Hit Papers
Peers
Comparison fields: 5 of 90
- Rheumatology 443
- Hematology 83
- Immunology 133
- Bioengineering 33
- Genetics 43
Countries citing papers authored by Jacqueline E. Pearson
This map shows the geographic impact of Jacqueline E. Pearson'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 Jacqueline E. Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline E. Pearson more than expected).
Fields of papers citing papers by Jacqueline E. Pearson
This network shows the impact of papers produced by Jacqueline E. Pearson. 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 Jacqueline E. Pearson. The network helps show where Jacqueline E. Pearson may publish in the future.
Co-authors
The 8 scholars most cited alongside Jacqueline E. Pearson, 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 | Epidemiology and genetics of rheumatoid arthritis. Hit paper breakdown → | 2002 | 738 |
| 2 | 2000 | 101 | |
| 3 | 1998 | 24 | |
| 4 | 2001 | 20 | |
| 5 | 2000 | 15 | |
| 6 | 1998 | 7 |
About Jacqueline E. Pearson
Jacqueline E. Pearson is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Animal Science and Zoology, having authored 6 papers that have together received 905 indexed citations. Recurring topics across this work include Advanced Biosensing Techniques and Applications (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Electrochemical sensors and biosensors (2 papers), Estrogen and related hormone effects (1 paper), Rheumatoid Arthritis Research and Therapies (1 paper), Pharmacological Effects and Assays (1 paper), Neonatal Health and Biochemistry (1 paper) and Molecular Junctions and Nanostructures (1 paper). The work is most often cited by research in Rheumatology (443 citations), Hematology (83 citations), Immunology (133 citations), Bioengineering (33 citations) and Genetics (43 citations). Jacqueline E. Pearson has collaborated with scholars based in United Kingdom. Frequent co-authors include Alan J. Silman, Pankaj Vadgama, Anita Gill, John Kane, Geoffrey P. Margison, Andrew C. Povey, James W. Kenny and Fiona Ivison. Their work appears in journals such as Sensors and Actuators B Chemical, Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Journal of Immunological Methods, Electroanalysis and Arthritis Research.
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.