Nathalie Stroobant
- Cardiology and Cardiovascular Medicine top 5%
- Cognitive Neuroscience top 10%
- Pulmonary and Respiratory Medicine
- Surgery
- Social Psychology top 10%
- Co-authors
- Guy VingerhoetsJohan DenolletStanislas U. SysD L BrutsaertThierry GillebertGuido Van NootenYves Van BelleghemDirk De Bacquer
- Topics
- Cardiac, Anesthesia and Surgical Outcomes (5 papers)Hemispheric Asymmetry in Neuroscience (5 papers)Cerebrovascular and Carotid Artery Diseases (5 papers)
- Cited by
- Cardiology and Cardiovascular MedicineCritical Care and Intensive Care MedicineCognitive Neuroscience
- Journals
- The LancetStrokeCHEST Journal
- Partner nations
- BelgiumAustraliaSouth Africa
In The Last Decade
Nathalie Stroobant
19 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Cardiology and Cardiovascular Medicine 628
- Cognitive Neuroscience 235
- Pulmonary and Respiratory Medicine 163
- Surgery 156
- Social Psychology 141
Countries citing papers authored by Nathalie Stroobant
This map shows the geographic impact of Nathalie Stroobant'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 Stroobant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathalie Stroobant more than expected).
Fields of papers citing papers by Nathalie Stroobant
This network shows the impact of papers produced by Nathalie Stroobant. 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 Stroobant. The network helps show where Nathalie Stroobant may publish in the future.
Co-authorship network of co-authors of Nathalie Stroobant
This figure shows the co-authorship network connecting the top 25 collaborators of Nathalie Stroobant. A scholar is included among the top collaborators of Nathalie Stroobant 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 Stroobant. Nathalie Stroobant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 14 | |
| 3 | 13 | |
| 4 | 20 | |
| 5 | 46 | |
| 6 | 27 | |
| 7 | 29 | |
| 8 | 1 | |
| 9 | 44 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 33 | |
| 13 | 46 | |
| 14 | 15 | |
| 15 | 35 | |
| 16 | 184 | |
| 17 | 14 | |
| 18 | 91 | |
| 19 | Personality as independent predictor of long-term mortality in patients with coronary heart diseasebreakdown → | 506 |
About Nathalie Stroobant
Nathalie Stroobant is a scholar working on Critical Care and Intensive Care Medicine, Cardiology and Cardiovascular Medicine and Neurology, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (5 papers), Hemispheric Asymmetry in Neuroscience (5 papers) and Cerebrovascular and Carotid Artery Diseases (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (628 citations), Critical Care and Intensive Care Medicine (79 citations) and Cognitive Neuroscience (235 citations). Nathalie Stroobant has collaborated with scholars based in Belgium, Australia and South Africa. Frequent co-authors include Guy Vingerhoets, Johan Denollet, Stanislas U. Sys, D L Brutsaert, Thierry Gillebert, Guido Van Nooten, Yves Van Belleghem, Dirk De Bacquer, Rajesh Aggarwal and Willem Willaert. Their work appears in journals such as The Lancet, Stroke and CHEST 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.