J‐L. Vachiéry
- Pulmonary and Respiratory Medicine top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Pathology and Forensic Medicine
- Complementary and alternative medicine
- Genetics
- Co-authors
- Robert NaeijeGeorges NisetGaël DeboeckMichel LamotteSandrine HuezAnthony P. DavenportPatrick YerlySerge Brimioulle
- Topics
- Pulmonary Hypertension Research and Treatments (11 papers)Cardiovascular Function and Risk Factors (5 papers)Cardiovascular Effects of Exercise (3 papers)
- Cited by
- Pulmonary and Respiratory MedicineCardiology and Cardiovascular MedicineComplementary and alternative medicine
- Partner nations
- BelgiumRussiaNetherlands
In The Last Decade
J‐L. Vachiéry
14 papers receiving 327 citations
Peers
Comparison fields: 5 of 46
- Pulmonary and Respiratory Medicine 292
- Cardiology and Cardiovascular Medicine 186
- Pathology and Forensic Medicine 63
- Complementary and alternative medicine 36
- Genetics 35
Countries citing papers authored by J‐L. Vachiéry
This map shows the geographic impact of J‐L. Vachiéry'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 J‐L. Vachiéry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J‐L. Vachiéry more than expected).
Fields of papers citing papers by J‐L. Vachiéry
This network shows the impact of papers produced by J‐L. Vachiéry. 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 J‐L. Vachiéry. The network helps show where J‐L. Vachiéry may publish in the future.
Co-authorship network of co-authors of J‐L. Vachiéry
This figure shows the co-authorship network connecting the top 25 collaborators of J‐L. Vachiéry. A scholar is included among the top collaborators of J‐L. Vachiéry 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 J‐L. Vachiéry. J‐L. Vachiéry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | [Pulmonary hypertension in left heart disease: how to define it and how to manage it in 2013?]. | 1 |
| 2 | 2 | |
| 3 | 32 | |
| 4 | 17 | |
| 5 | 23 | |
| 6 | 43 | |
| 7 | 49 | |
| 8 | 1 | |
| 9 | 100 | |
| 10 | Peripheral chemoreceptor contribution to muscle sympathetic nerve activity in pulmonary arterial hypertension | 2 |
| 11 | 1 | |
| 12 | 36 | |
| 13 | 8 | |
| 14 | 20 |
About J‐L. Vachiéry
J‐L. Vachiéry is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Complementary and alternative medicine, having authored 14 papers that have together received 335 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (11 papers), Cardiovascular Function and Risk Factors (5 papers) and Cardiovascular Effects of Exercise (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (292 citations), Cardiology and Cardiovascular Medicine (186 citations) and Complementary and alternative medicine (36 citations). J‐L. Vachiéry has collaborated with scholars based in Belgium, Russia and Netherlands. Frequent co-authors include Robert Naeije, Georges Niset, Gaël Deboeck, Michel Lamotte, Sandrine Huez, Anthony P. Davenport, Patrick Yerly, Serge Brimioulle, Gérald Simonneau and Adriana Pavelescu. Their work appears in journals such as Circulation, European Respiratory Journal and Journal of Hypertension.
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.