Jean‐Loup Machu

522 total citations
15 papers, 339 citations indexed

About

Jean‐Loup Machu is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jean‐Loup Machu has authored 15 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 4 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jean‐Loup Machu's work include Cardiovascular Function and Risk Factors (4 papers), Heart Failure Treatment and Management (4 papers) and Blood Pressure and Hypertension Studies (3 papers). Jean‐Loup Machu is often cited by papers focused on Cardiovascular Function and Risk Factors (4 papers), Heart Failure Treatment and Management (4 papers) and Blood Pressure and Hypertension Studies (3 papers). Jean‐Loup Machu collaborates with scholars based in France, Portugal and Netherlands. Jean‐Loup Machu's co-authors include Nicolas Girerd, Faı̈ez Zannad, João Pedro Ferreira, Patrick Rossignol, Anne Pizard, Dirk J. van Veldhuisen, Zohra Lamiral, Patrick Rossignol, Timothy Collier and Karl Swedberg and has published in prestigious journals such as European Heart Journal, International Journal of Epidemiology and Heart.

In The Last Decade

Jean‐Loup Machu

14 papers receiving 332 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean‐Loup Machu France 11 232 93 68 36 35 15 339
Clara Sastre Spain 10 260 1.1× 51 0.5× 38 0.6× 40 1.1× 34 1.0× 27 435
Marcel T. Ferreira Brazil 9 258 1.1× 135 1.5× 85 1.3× 52 1.4× 15 0.4× 10 367
Giuseppino Massimo Ciavarella Italy 12 268 1.2× 48 0.5× 80 1.2× 49 1.4× 68 1.9× 16 416
Dimitrios Vlastos Greece 12 240 1.0× 88 0.9× 50 0.7× 61 1.7× 68 1.9× 28 425
Zhaoping Su China 14 167 0.7× 130 1.4× 65 1.0× 65 1.8× 40 1.1× 24 417
Akira Mizukami Japan 11 235 1.0× 33 0.4× 93 1.4× 51 1.4× 41 1.2× 37 357
G. Sökmen Türkiye 13 316 1.4× 50 0.5× 78 1.1× 103 2.9× 31 0.9× 39 463
Tadaaki Arimura Japan 9 243 1.0× 47 0.5× 25 0.4× 62 1.7× 40 1.1× 36 324
Tomohiro Uchikawa Japan 13 304 1.3× 58 0.6× 94 1.4× 97 2.7× 47 1.3× 23 485
Mei Ma China 10 107 0.5× 73 0.8× 36 0.5× 60 1.7× 25 0.7× 26 287

Countries citing papers authored by Jean‐Loup Machu

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Loup Machu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Loup Machu. 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 Jean‐Loup Machu. The network helps show where Jean‐Loup Machu may publish in the future.

Co-authorship network of co-authors of Jean‐Loup Machu

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

All Works

15 of 15 papers shown
1.
Sharma, Abhinav, João Pedro Ferreira, Jean‐Loup Machu, et al.. (2022). Metabolic Syndrome and the Risk of Preclinical Heart Failure: Insights after 17 Years of Follow-Up from the STANISLAS Cohort. Cardiology. 147(3). 281–287. 2 indexed citations
2.
Huttin, Olivier, Alan G. Fraser, Lars H. Lund, et al.. (2021). Risk Stratification with Echocardiographic Biomarkers in Heart Failure with Preserved Ejection Fraction: The Media Echo Score. ESC Heart Failure. 8(3). 1827–1839. 17 indexed citations
3.
Kanbay, Mehmet, Nicolas Girerd, Jean‐Loup Machu, et al.. (2020). Impact of Uric Acid on Hypertension Occurrence and Target Organ Damage: Insights From the STANISLAS Cohort With a 20-Year Follow-up. American Journal of Hypertension. 33(9). 869–878. 13 indexed citations
4.
Ferreira, João Pedro, Anne Pizard, Jean‐Loup Machu, et al.. (2019). Plasma protein biomarkers and their association with mutually exclusive cardiovascular phenotypes: the FIBRO-TARGETS case–control analyses. Clinical Research in Cardiology. 109(1). 22–33. 22 indexed citations
5.
Lopez‐Sublet, Marilucy, Nicolas Girerd, Erwan Bozec, et al.. (2019). Nondipping Pattern and Cardiovascular and Renal Damage in a Population-Based Study (The STANISLAS Cohort Study). American Journal of Hypertension. 32(7). 620–628. 14 indexed citations
6.
Xhaard, Constance, Pierre de Villemereuil, Édith Le Floch, et al.. (2019). Heritability of a resting heart rate in a 20-year follow-up family cohort with GWAS data: Insights from the STANISLAS cohort. European Journal of Preventive Cardiology. 28(12). 1334–1341. 12 indexed citations
7.
Ferreira, João Pedro, Patrick Rossignol, Anne Pizard, et al.. (2018). Potential spironolactone effects on collagen metabolism biomarkers in patients with uncontrolled blood pressure. Heart. 105(4). 307–314. 24 indexed citations
8.
Ferreira, João Pedro, Jean‐Loup Machu, Nicolas Girerd, et al.. (2017). Rationale of the FIBROTARGETS Study Designed to Identify Novel Biomarkers of Myocardial Fibrosis. ESC Heart Failure. 5(1). 139–148. 18 indexed citations
9.
Agewall, Stefan, Patrick Rossignol, Faı̈ez Zannad, et al.. (2017). Heart rate prediction of outcome in heart failure following myocardial infarction depend on heart rhythm status an analysis from the high-risk myocardial infarction database initiative. International Journal of Cardiology. 249. 274–281. 2 indexed citations
10.
Olivier, Arnaud, Bertram Pitt, Nicolas Girerd, et al.. (2017). Effect of Eplerenone in Patients with Heart Failure and Reduced Ejection Fraction: Potential Effect Modification by Abdominal Obesity. Insight from the Emphasis-Hf Trial. European Journal of Heart Failure. 19(9). 1186–1197. 75 indexed citations
11.
Ferreira, João Pedro, Patrick Rossignol, Jean‐Loup Machu, et al.. (2017). Mineralocorticoid Receptor Antagonist Pattern of Use in Heart Failure with Reduced Ejection Fraction: Findings from BIOSTAT-CHF. European Journal of Heart Failure. 19(10). 1284–1293. 76 indexed citations
12.
Ferreira, João Pedro, Nicolas Girerd, Erwan Bozec, et al.. (2017). Cohort Profile: Rationale and design of the fourth visit of the STANISLAS cohort: a familial longitudinal population-based cohort from the Nancy region of France. International Journal of Epidemiology. 47(2). 395–395j. 38 indexed citations
13.
Blonski, Marie, et al.. (2017). Idiopathic Intracranial Hypertension: Prognostic Factors and Multidisciplinary Management. Journal of Obesity. 2017. 1–10. 25 indexed citations
14.
Agewall, Stefan, P. Rossignol, F Zannad, et al.. (2017). P4392Heart rate prediction of outcome in heart failure following myocardial infarction depend on heart rhythm status. European Heart Journal. 38(suppl_1). 1 indexed citations
15.
Steyer, Jean‐Philippe, et al.. (2016). Représentation parentale de la toux du nourrisson et attentes sur sa prise en charge. Archives de Pédiatrie. 23(4). 348–352.

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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