F. Michas

493 total citations
17 papers, 226 citations indexed

About

F. Michas is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, F. Michas has authored 17 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 6 papers in Pulmonary and Respiratory Medicine and 4 papers in Surgery. Recurrent topics in F. Michas's work include Blood Pressure and Hypertension Studies (14 papers), Cardiovascular Health and Disease Prevention (13 papers) and Heart Rate Variability and Autonomic Control (5 papers). F. Michas is often cited by papers focused on Blood Pressure and Hypertension Studies (14 papers), Cardiovascular Health and Disease Prevention (13 papers) and Heart Rate Variability and Autonomic Control (5 papers). F. Michas collaborates with scholars based in Greece, Germany and United States. F. Michas's co-authors include Nikolaos Zakopoulos, Efstathios Manios, Eleni Koroboki, Konstantinos Vemmos, Gerassimos Barlas, Georgios Tsivgoulis, Savvas Toumanidis, Κimon Stamatelopoulos, Kimon Stamatelopoulos and Ronney B. Panerai and has published in prestigious journals such as Blood, European Journal of Cancer and Atherosclerosis.

In The Last Decade

F. Michas

16 papers receiving 216 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F. Michas Greece 9 185 36 32 29 17 17 226
Sulaiman Sultan United States 6 71 0.4× 26 0.7× 15 0.5× 17 0.6× 16 0.9× 15 146
Christian Eick Germany 9 296 1.6× 29 0.8× 41 1.3× 42 1.4× 14 0.8× 19 372
Kentaro Fujishiro Japan 10 263 1.4× 57 1.6× 127 4.0× 42 1.4× 8 0.5× 24 368
Chiara Mammini Italy 6 333 1.8× 27 0.8× 39 1.2× 36 1.2× 4 0.2× 8 393
Costas Papadopoulos Greece 11 189 1.0× 28 0.8× 17 0.5× 85 2.9× 4 0.2× 18 319
Paolo Sciarrone Italy 9 186 1.0× 15 0.4× 48 1.5× 47 1.6× 3 0.2× 25 315
Daigo Nagahara Japan 10 291 1.6× 35 1.0× 18 0.6× 21 0.7× 7 0.4× 32 397
Sven Moebius‐Winkler Germany 8 143 0.8× 93 2.6× 25 0.8× 53 1.8× 23 1.4× 24 290
Theodoros Intzilakis Denmark 4 362 2.0× 43 1.2× 14 0.4× 33 1.1× 4 0.2× 9 413
I C Steele United Kingdom 9 189 1.0× 31 0.9× 62 1.9× 88 3.0× 5 0.3× 11 325

Countries citing papers authored by F. Michas

Since Specialization
Citations

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

Fields of papers citing papers by F. Michas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Michas

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

All Works

17 of 17 papers shown
1.
Michas, F., et al.. (2018). ASSOCIATION OF SHORT-TERM VARIABILITY INDICES WITH COMMON CAROTID ARTERY INTIMA-MEDIA THICKNESS IN CHRONIC KIDNEY DISEASE PATIENTS. Journal of Hypertension. 36(Supplement 1). e70–e70. 1 indexed citations
2.
Michas, F., et al.. (2018). REPRODUCIBILITY OF BLOOD PRESSURE PHENOTYPES BY MEANS OF AMBULATORY BLOOD PRESSURE MONITORING. Journal of Hypertension. 36(Supplement 1). e265–e265.
3.
Tsivgoulis, Georgios, Maria Pikilidou, Aristeidis H. Katsanos, et al.. (2017). Association of Ambulatory Blood Pressure Monitoring parameters with the Framingham Stroke Risk Profile. Journal of the Neurological Sciences. 380. 106–111. 4 indexed citations
4.
Manios, Efstathios, Georgios Georgiopoulos, F. Michas, et al.. (2017). Differential associations of systolic and diastolic time rate of blood pressure variation with carotid atherosclerosis and plaque echogenicity. Journal of Clinical Hypertension. 19(11). 1070–1077. 6 indexed citations
5.
Manios, Efstathios, F. Michas, Κimon Stamatelopoulos, et al.. (2016). White‐Coat Isolated Systolic Hypertension Is a Risk Factor for Carotid Atherosclerosis. Journal of Clinical Hypertension. 18(11). 1095–1102. 10 indexed citations
6.
Koroboki, Eleni, Efstathios Manios, F. Michas, et al.. (2015). The impact of nocturnal hypertension and nondipping status on left ventricular mass. Blood Pressure Monitoring. 20(3). 121–126. 9 indexed citations
7.
Kastritis, Efstathios, Μαρία Ρούσσου, Despina Fotiou, et al.. (2015). Prospective Evaluation of Blood Pressure Monitoring and Baroreceptor Reflex Sensitivity (BRS) in Patients with AL Amyloidosis: Prognostic and Pathophysiologic Implications. Blood. 126(23). 3054–3054. 1 indexed citations
8.
Manios, Efstathios, et al.. (2015). PP.18.13. Journal of Hypertension. 33(Supplement 1). e294–e294. 1 indexed citations
9.
Manios, Efstathios, F. Michas, Kimon Stamatelopoulos, et al.. (2014). Short-term beat-to-beat but not ambulatory blood pressure variability is correlated to carotid intima-media thickness. Blood Pressure Monitoring. 19(5). 288–293. 10 indexed citations
10.
Manios, Efstathios, F. Michas, Kimon Stamatelopoulos, et al.. (2014). Impact of masking effect on subclinical carotid atherosclerosis in normotensives and untreated masked hypertensive and hypertensive patients. Blood Pressure Monitoring. 20(2). 64–68. 1 indexed citations
11.
Manios, Efstathios, F. Michas, Κimon Stamatelopoulos, et al.. (2014). Association of Isolated Systolic, Isolated Diastolic, and Systolic‐Diastolic Masked Hypertension With Carotid Artery Intima‐Media Thickness. Journal of Clinical Hypertension. 17(1). 22–26. 8 indexed citations
12.
Manios, Efstathios, Kimon Stamatelopoulos, Gerassimos Barlas, et al.. (2013). Brain edema formation is associated with the time rate of blood pressure variation in acute stroke patients. Blood Pressure Monitoring. 18(4). 203–207. 20 indexed citations
13.
Michas, F., Efstathios Manios, Kimon Stamatelopoulos, et al.. (2012). Baroreceptor reflex sensitivity is associated with arterial stiffness in a population of normotensive and hypertensive patients. Blood Pressure Monitoring. 17(4). 155–159. 25 indexed citations
14.
Bamias, Aristotle, Efstathios Manios, Alexandra Karadimou, et al.. (2011). The use of 24-h ambulatory blood pressure monitoring (ABPM) during the first cycle of sunitinib improves the diagnostic accuracy and management of hypertension in patients with advanced renal cancer. European Journal of Cancer. 47(11). 1660–1668. 24 indexed citations
15.
Stamatelopoulos, Κimon, Georgios Tsivgoulis, Gerassimos Barlas, et al.. (2011). Time rate of blood pressure variation: a new factor associated with coronary atherosclerosis. Journal of Hypertension. 29(6). 1109–1114. 29 indexed citations
16.
Manios, Efstathios, F. Michas, Georgios Tsivgoulis, et al.. (2010). Impact of prehypertension on carotid artery intima–media thickening: Actual or masked?. Atherosclerosis. 214(1). 215–219. 11 indexed citations
17.
Manios, Efstathios, Georgios Tsivgoulis, Gerassimos Barlas, et al.. (2009). Time rate of blood pressure variation is associated with impaired renal function in hypertensive patients. Journal of Hypertension. 27(11). 2244–2248. 66 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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