Michèle Depairon

1.5k total citations
51 papers, 1.1k citations indexed

About

Michèle Depairon is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Michèle Depairon has authored 51 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 10 papers in Pulmonary and Respiratory Medicine and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Michèle Depairon's work include Lymphatic System and Diseases (8 papers), Venous Thromboembolism Diagnosis and Management (8 papers) and Peripheral Artery Disease Management (7 papers). Michèle Depairon is often cited by papers focused on Lymphatic System and Diseases (8 papers), Venous Thromboembolism Diagnosis and Management (8 papers) and Peripheral Artery Disease Management (7 papers). Michèle Depairon collaborates with scholars based in Switzerland, France and Netherlands. Michèle Depairon's co-authors include Daniel Hayoz, Blaise Rutschmann, Kamiar Aminian, Ph. Robert, Eric Buchser, Roger Darioli, Lucia Mazzolai, Nicolas Rodondi, Vincent Mooser and Pascal Nicod and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, The American Journal of Medicine and AIDS.

In The Last Decade

Michèle Depairon

44 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michèle Depairon Switzerland 13 356 205 203 164 127 51 1.1k
Tobias M. Merz Switzerland 24 234 0.7× 138 0.7× 16 0.1× 226 1.4× 74 0.6× 71 1.6k
Robina Matyal United States 28 1.4k 4.0× 73 0.4× 50 0.2× 1.6k 9.6× 347 2.7× 192 3.0k
Christopher C. Cheung Canada 19 192 0.5× 114 0.6× 21 0.1× 580 3.5× 100 0.8× 79 1.0k
Young‐Hyo Lim South Korea 22 334 0.9× 19 0.1× 44 0.2× 688 4.2× 389 3.1× 113 1.5k
Peter R. Lynch United States 19 312 0.9× 79 0.4× 118 0.6× 554 3.4× 220 1.7× 75 1.3k
Antonio Curnis Italy 31 426 1.2× 63 0.3× 90 0.4× 2.7k 16.7× 170 1.3× 159 3.2k
Kazuo Tanoue Japan 27 1.2k 3.4× 48 0.2× 13 0.1× 53 0.3× 399 3.1× 70 1.8k
Daohang Sha United States 18 182 0.5× 26 0.1× 48 0.2× 146 0.9× 72 0.6× 33 1.2k
Manpreet Kaur India 21 420 1.2× 37 0.2× 14 0.1× 267 1.6× 46 0.4× 220 2.0k

Countries citing papers authored by Michèle Depairon

Since Specialization
Citations

This map shows the geographic impact of Michèle Depairon'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 Michèle Depairon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michèle Depairon more than expected).

Fields of papers citing papers by Michèle Depairon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michèle Depairon. 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 Michèle Depairon. The network helps show where Michèle Depairon may publish in the future.

Co-authorship network of co-authors of Michèle Depairon

This figure shows the co-authorship network connecting the top 25 collaborators of Michèle Depairon. A scholar is included among the top collaborators of Michèle Depairon 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 Michèle Depairon. Michèle Depairon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Giorno, Rosaria Del, et al.. (2023). A new score for improving cardiovascular risk prediction and prevention. Nutrition Metabolism and Cardiovascular Diseases. 33(8). 1546–1555.
2.
Buso, Giacomo, Roger Darioli, Luca Calanca, et al.. (2022). In postmenopausal women, lower limb peripheral arterial disease, assessed by ankle-brachial index, may be a strong predictor of cardiovascular risk. European Journal of Internal Medicine. 99. 63–69. 6 indexed citations
3.
Buso, Giacomo, et al.. (2021). Indocyanine green lymphography as novel tool to assess lymphatics in patients with lipedema. Microvascular Research. 140. 104298–104298. 20 indexed citations
4.
Depairon, Michèle, et al.. (2017). [Primary lymphedema].. PubMed. 13(586). 2124–2128. 3 indexed citations
5.
Depairon, Michèle, et al.. (2015). Anomalies vasculaires: exemple du syndrome de Klippel-Trenaunay [Vascular anomalies].. Revue Médicale Suisse. 11(460). 357–361. 1 indexed citations
6.
Depairon, Michèle, et al.. (2015). [b]Pathologies[/b] vasculaires lymphatiques : apport de la lympho-fluoroscopie. Revue Médicale Suisse. 11(460). 362–365. 1 indexed citations
7.
Depairon, Michèle, et al.. (2015). Sildenafil as a Therapeutic Option for Digital Ischemic Ulceration: Case Report. The Journal Of Hand Surgery. 40(5). 890–893. 2 indexed citations
8.
Yerly, Patrick, Pedro Marques‐Vidal, Éric Eeckhout, et al.. (2015). The Atherosclerosis Burden Score (ABS): a Convenient Ultrasound-Based Score of Peripheral Atherosclerosis for Coronary Artery Disease Prediction. Journal of Cardiovascular Translational Research. 8(2). 138–147. 14 indexed citations
9.
Depairon, Michèle, et al.. (2015). Anomalies [b]vasculaires :[/b] exemple du syndrome de Klippel-Trenaunay. Revue Médicale Suisse. 11(460). 357–361.
10.
Depairon, Michèle, et al.. (2012). [b]Prévention[/b] des troubles lymphatiques et de leurs complications. Revue Médicale Suisse. 8(327). 315–319.
11.
Depairon, Michèle, Roger Darioli, & Michel Romanens. (2010). Cardiovascular risk prediction with ultrasound. Cardiovascular Medicine. 13(9). 255–264. 4 indexed citations
12.
13.
Hayoz, Daniel, B Noël, Michèle Depairon, et al.. (2000). Effect of SR 49059, a V1a vasopressin receptor antagonist, in Raynaud's phenomenon. Lara D. Veeken. 39(10). 1132–1138. 20 indexed citations
14.
Depairon, Michèle, et al.. (1999). Effect of compression therapy on a pseudo-Kaposi sarcoma.. PubMed. 198(4). 439–41. 3 indexed citations
15.
Abenhaim, Lucien, Damien Clement, Lars Norgren, et al.. (1999). The management of chronic venous disorders of the leg: An evidence-based report of an international Task Force. Phlebology The Journal of Venous Disease. 14. 30 indexed citations
16.
Aminian, Kamiar, Ph. Robert, Eric Buchser, et al.. (1999). Physical activity monitoring based on accelerometry: validation and comparison with video observation. Medical & Biological Engineering & Computing. 37(3). 304–308. 242 indexed citations
17.
Segesser, L. K. von, Bettina Marty, Patrick Ruchat, et al.. (1999). [Treatment of endovascular aneurysms: the indications widen].. PubMed. 129(48). 1877–83. 2 indexed citations
18.
Depairon, Michèle, et al.. (1998). [Venous thrombosis of the arm consistent with a tumor of the first rib].. PubMed. 23(1). 71–3.
19.
Zufferey, Pascal, Michèle Depairon, A M Chamot, & M. Monti. (1992). Prognostic significance of nailfold capillary microscopy in patients with Raynaud's phenomenon and scleroderma-pattern abnormalities a six-year follow-up study. Clinical Rheumatology. 11(4). 536–541. 50 indexed citations
20.
Depairon, Michèle, et al.. (1988). [Regional blood flow and oxygen consumption in the leg muscles of normal subjects and in those with arterial insufficiency. Study of the distribution of C15O2 and of 15O2 using positron emission tomography].. PubMed. 13(2). 107–15. 3 indexed citations

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.

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