Jacqueline Smith
- Rheumatology top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Immunology
- Molecular Biology
- Hematology top 10%
- Co-authors
- George D. KitasVasileios PanoulasKaren DouglasJames HodsonAamer SandooPeter NightingaleTracey E. TomsAntonios Stavropoulos‐Kalinoglou
- Topics
- Rheumatoid Arthritis Research and Therapies (13 papers)Systemic Lupus Erythematosus Research (9 papers)Blood Coagulation and Thrombosis Mechanisms (5 papers)
- Cited by
- RheumatologyImmunologyHematology
- Partner nations
- United KingdomGreeceUnited States
In The Last Decade
Jacqueline Smith
34 papers receiving 798 citations
Peers
Comparison fields: 5 of 85
- Rheumatology 383
- Cardiology and Cardiovascular Medicine 187
- Immunology 183
- Molecular Biology 135
- Hematology 95
Countries citing papers authored by Jacqueline Smith
This map shows the geographic impact of Jacqueline Smith'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 Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline Smith more than expected).
Fields of papers citing papers by Jacqueline Smith
This network shows the impact of papers produced by Jacqueline Smith. 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 Smith. The network helps show where Jacqueline Smith may publish in the future.
Co-authorship network of co-authors of Jacqueline Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline Smith. A scholar is included among the top collaborators of Jacqueline Smith based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jacqueline Smith. Jacqueline Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 13 | |
| 3 | 54 | |
| 4 | 11 | |
| 5 | The relationship between cardiovascular disease risk prediction scores and vascular function and morphology in rheumatoid arthritis. | 4 |
| 6 | 29 | |
| 7 | 26 | |
| 8 | 23 | |
| 9 | 10 | |
| 10 | 14 | |
| 11 | 16 | |
| 12 | 18 | |
| 13 | 22 | |
| 14 | 25 | |
| 15 | 44 | |
| 16 | 16 | |
| 17 | 8 | |
| 18 | 46 | |
| 19 | 81 | |
| 20 | 36 |
About Jacqueline Smith
Jacqueline Smith is a scholar working on Rheumatology, Hematology and Internal Medicine, having authored 34 papers that have together received 809 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (13 papers), Systemic Lupus Erythematosus Research (9 papers) and Blood Coagulation and Thrombosis Mechanisms (5 papers). The work is most often cited by research in Rheumatology (383 citations), Immunology (183 citations) and Hematology (95 citations). Jacqueline Smith has collaborated with scholars based in United Kingdom, Greece and United States. Frequent co-authors include George D. Kitas, Vasileios Panoulas, Karen Douglas, James Hodson, Aamer Sandoo, Peter Nightingale, Tracey E. Toms, Antonios Stavropoulos‐Kalinoglou, Theodoros Dimitroulas and Giorgos S. Metsios. Their work appears in journals such as Brain Research, Frontiers in Immunology 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.