Nathalie Conrad
- Cardiology and Cardiovascular Medicine top 1%
- Epidemiology top 10%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Immunology top 10%
- Co-authors
- Kazem RahimiJohn J.V. McMurrayJenny TranH. MohseniJohn G.F. ClelandAndrew JudgeHarry HemingwayGeert Verbeke
- Topics
- Heart Failure Treatment and Management (8 papers)Chronic Disease Management Strategies (4 papers)Systemic Lupus Erythematosus Research (4 papers)
- Partner nations
- United KingdomAustraliaBelgium
In The Last Decade
Nathalie Conrad
28 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Cardiology and Cardiovascular Medicine 1.3k
- Epidemiology 377
- Surgery 308
- Endocrinology, Diabetes and Metabolism 250
- Immunology 227
Countries citing papers authored by Nathalie Conrad
This map shows the geographic impact of Nathalie Conrad'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 Nathalie Conrad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathalie Conrad more than expected).
Fields of papers citing papers by Nathalie Conrad
This network shows the impact of papers produced by Nathalie Conrad. 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 Nathalie Conrad. The network helps show where Nathalie Conrad may publish in the future.
Co-authorship network of co-authors of Nathalie Conrad
This figure shows the co-authorship network connecting the top 25 collaborators of Nathalie Conrad. A scholar is included among the top collaborators of Nathalie Conrad 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 Nathalie Conrad. Nathalie Conrad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 32 | |
| 6 | 0 | |
| 7 | 26 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | Incidence, prevalence, and co-occurrence of autoimmune disorders over time and by age, sex, and socioeconomic status: a population-based cohort study of 22 million individuals in the UKbreakdown → | 381 |
| 12 | 9 | |
| 13 | 146 | |
| 14 | 37 | |
| 15 | 96 | |
| 16 | 24 | |
| 17 | Temporal trends and patterns in heart failure incidence: a population-based study of 4 million individualsbreakdown → | 853 |
| 18 | 17 | |
| 19 | 97 | |
| 20 | Risk Prediction in Patients With Heart Failurebreakdown → | 302 |
About Nathalie Conrad
Nathalie Conrad is a scholar working on Family Practice, Geriatrics and Gerontology and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 2.6k indexed citations. Recurring topics across this work include Heart Failure Treatment and Management (8 papers), Chronic Disease Management Strategies (4 papers) and Systemic Lupus Erythematosus Research (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Family Practice (67 citations) and Health Information Management (126 citations). Nathalie Conrad has collaborated with scholars based in United Kingdom, Australia and Belgium. Frequent co-authors include Kazem Rahimi, John J.V. McMurray, Jenny Tran, H. Mohseni, John G.F. Cleland, Andrew Judge, Harry Hemingway, Geert Verbeke, Geert Molenberghs and Mark Woodward. Their work appears in journals such as The Lancet, Stroke and European Heart Journal.
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.