H Milon

1.6k total citations
62 papers, 1.2k citations indexed

About

H Milon is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, H Milon has authored 62 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cardiology and Cardiovascular Medicine, 13 papers in Surgery and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in H Milon's work include Blood Pressure and Hypertension Studies (17 papers), Cardiovascular Health and Disease Prevention (10 papers) and Cardiovascular Function and Risk Factors (8 papers). H Milon is often cited by papers focused on Blood Pressure and Hypertension Studies (17 papers), Cardiovascular Health and Disease Prevention (10 papers) and Cardiovascular Function and Risk Factors (8 papers). H Milon collaborates with scholars based in France, United States and Sweden. H Milon's co-authors include Pierre Lantelme, Michel Liévre, Christine Mestre, A Gressard, Giampiero Bricca, Jean‐Pierre Delahaye, Liliana Legedz, Guy de Gévigney, Claude Gharib and François Delahaye and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hypertension and European Heart Journal.

In The Last Decade

H Milon

55 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H Milon France 17 994 241 174 141 125 62 1.2k
Walter Droogné Belgium 18 701 0.7× 212 0.9× 164 0.9× 70 0.5× 104 0.8× 44 973
Kenan Yalta Türkiye 16 501 0.5× 179 0.7× 184 1.1× 105 0.7× 93 0.7× 82 814
Xiushui Ren United States 13 668 0.7× 136 0.6× 195 1.1× 160 1.1× 109 0.9× 28 983
Jack Kron United States 21 1.8k 1.8× 317 1.3× 83 0.5× 115 0.8× 104 0.8× 59 2.3k
Sanem Nalbantgil Türkiye 17 710 0.7× 442 1.8× 188 1.1× 93 0.7× 127 1.0× 133 1.1k
John S. Banas United States 16 727 0.7× 191 0.8× 223 1.3× 107 0.8× 196 1.6× 29 1.1k
Danijela Trifunović Serbia 13 716 0.7× 202 0.8× 59 0.3× 121 0.9× 241 1.9× 60 959
Amit Nussbacher Brazil 11 481 0.5× 120 0.5× 96 0.6× 49 0.3× 70 0.6× 35 650
Oliver Ormerod United Kingdom 17 788 0.8× 260 1.1× 320 1.8× 197 1.4× 166 1.3× 62 1.1k
Martin Bilsker United States 16 726 0.7× 158 0.7× 213 1.2× 265 1.9× 103 0.8× 30 999

Countries citing papers authored by H Milon

Since Specialization
Citations

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

Fields of papers citing papers by H Milon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H Milon

This figure shows the co-authorship network connecting the top 25 collaborators of H Milon. A scholar is included among the top collaborators of H Milon 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 H Milon. H Milon 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.
Courand, Pierre‐Yves, et al.. (2017). Aortic atherosclerosis is a key modulator of the prognostic value of postural blood pressure changes. Atherosclerosis. 268. 108–116. 2 indexed citations
2.
Harbaoui, Brahim, et al.. (2015). Cumulative Effects of Several Target Organ Damages in Risk Assessment in Hypertension. American Journal of Hypertension. 29(2). 234–244. 15 indexed citations
3.
Courand, Pierre‐Yves, et al.. (2013). Effect modification of aortic atheroma on the prognostic value of heart rate in hypertension. Journal of Hypertension. 31(3). 484–491. 10 indexed citations
4.
Girerd, Nicolas, Liliana Legedz, Muriel Rabilloud, et al.. (2012). Outcome Associations of Carotid-Femoral Pulse Wave Velocity Vary With Different Measurement Methods. American Journal of Hypertension. 25(12). 1264–70. 16 indexed citations
5.
Lantelme, Pierre, Stéphane Laurent, Cyril Besnard, et al.. (2008). Arterial stiffness is associated with left atrial size in hypertensive patients. Archives of cardiovascular diseases. 101(1). 35–40. 57 indexed citations
6.
Legedz, Liliana, et al.. (2006). Insulin resistance and plasma triglyceride level are differently related to cardiac hypertrophyand arterial stiffening in hypertensive subjects. SHILAP Revista de lepidopterología.
7.
Legedz, Liliana, et al.. (2006). Insulin resistance and plasma triglyceride level are differently related to cardiac hypertrophy and arterial stiffening in hypertensive subjects. Vascular Health and Risk Management. 2(4). 485–490. 9 indexed citations
8.
Lantelme, Pierre, Andreas Rohrwasser, Madeleine Vincent, et al.. (2005). Significance of urinary angiotensinogen in essential hypertension as a function of plasma renin and aldosterone status. Journal of Hypertension. 23(4). 785–792. 16 indexed citations
9.
Vincent, Madeleine, et al.. (2004). A1166C polymorphism of angiotensin II type 1 receptor, blood pressure and arterial stiffness in hypertension. Journal of Hypertension. 22(11). 2135–2142. 28 indexed citations
10.
11.
Lantelme, Pierre, et al.. (2002). Spontaneous baroreflex sensitivity: toward an ideal index of cardiovascular risk in hypertension?. Journal of Hypertension. 20(5). 935–944. 74 indexed citations
12.
Gévigney, Guy de, René Écochard, Muriel Rabilloud, et al.. (2002). Do differences in baseline characteristics or in management account for the poorer in-hospital and subsequent outcome after myocardial infarction in diabetics?. Acta Cardiologica. 57(3). 187–196. 4 indexed citations
13.
Gévigney, Guy de, René Écochard, Muriel Rabilloud, et al.. (2001). Worsening of Heart Failure During Hospital Course of an Unselected Cohort of 2507 Patients with Myocardial Infarction is a Factor of Poor Prognosis: The PRIMA Study. European Journal of Heart Failure. 3(2). 233–241. 4 indexed citations
14.
15.
Lantelme, Pierre, et al.. (1999). Influence of a rapid change of left ventricular dimensions on the echocardiographic measurement of left ventricular mass by the Penn convention. Journal of Hypertension. 17(9). 1323–1328. 6 indexed citations
16.
Touboul, P, Xavier André-Fouët, Alain Leizorovicz, et al.. (1997). Risk stratification after myocardial infarction: A reappraisal in the era of thrombolysis. European Heart Journal. 18(1). 99–107. 43 indexed citations
17.
Delahaye, Jean‐Pierre, et al.. (1991). Natural history of severe mitral regurgitation. European Heart Journal. 12(suppl B). 5–9. 115 indexed citations
18.
André-Fouët, Xavier, et al.. (1989). “Non-Q wave,” alias “nontransmural,” myocardial infarction: A specific entity. American Heart Journal. 117(4). 892–902. 14 indexed citations
19.
Milon, H, et al.. (1984). Treatment of arterial hypertension a comparative trial of atenolol tenormine vs. chlorthalidone hygroton. Clinical Trials. 21(5). 298–308. 1 indexed citations
20.
Milon, H, et al.. (1970). [Blood pressure distributions in children (study of a group of 520 school-age boys)].. PubMed. 25(6). 1227–36. 1 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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