A Tropeano

1.8k total citations · 1 hit paper
7 papers, 1.5k citations indexed

About

A Tropeano is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Epidemiology. According to data from OpenAlex, A Tropeano has authored 7 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 2 papers in Surgery and 2 papers in Epidemiology. Recurrent topics in A Tropeano's work include Cardiovascular Health and Disease Prevention (4 papers), Blood Pressure and Hypertension Studies (2 papers) and Moyamoya disease diagnosis and treatment (1 paper). A Tropeano is often cited by papers focused on Cardiovascular Health and Disease Prevention (4 papers), Blood Pressure and Hypertension Studies (2 papers) and Moyamoya disease diagnosis and treatment (1 paper). A Tropeano collaborates with scholars based in France. A Tropeano's co-authors include Pierre Boutouyrie, Stéphane Laurent, Patrick Lacolley, Roland Asmar, Athanase Bénétos, I. Macquin‐Mavier, Sandrine Millasseau, Stéphane Laurent, Christophe Tournigand and Patrice Jaillon and has published in prestigious journals such as Circulation, Hypertension and Plastic & Reconstructive Surgery.

In The Last Decade

A Tropeano

5 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Aortic Stiffness Is an Independent Predictor of Primary Coronary Events in Hypertensive Patients

2002 1.4k citations Pierre Boutouyrie, A Tropeano et al. Hypertension profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A Tropeano France	4	1.3k	360	176	166	143	7	1.5k
Stéphane Laurent France	9	1.7k 1.4×	510 1.4×	249 1.4×	200 1.2×	210 1.5×	22	2.0k
Christoph D. Gatzka Australia	20	1.5k 1.2×	272 0.8×	293 1.7×	149 0.9×	223 1.6×	32	1.9k
Yoichi Inaba United States	10	967 0.8×	387 1.1×	192 1.1×	249 1.5×	121 0.8×	13	1.4k
Kazuhiro Takeda Japan	9	1.5k 1.2×	321 0.9×	413 2.3×	152 0.9×	207 1.4×	34	1.8k
Pier Luigi Mattioli Italy	12	947 0.7×	424 1.2×	369 2.1×	148 0.9×	221 1.5×	17	1.4k
Monica Failla Italy	26	1.3k 1.0×	272 0.8×	302 1.7×	113 0.7×	229 1.6×	45	1.7k
Mark A. Creager United States	4	1.3k 1.0×	376 1.0×	380 2.2×	188 1.1×	213 1.5×	4	1.8k
Kathleen A. Sliney United States	10	742 0.6×	209 0.6×	262 1.5×	108 0.7×	176 1.2×	11	1.1k
Stamatios Stamatelopoulos Greece	20	933 0.7×	269 0.7×	346 2.0×	135 0.8×	394 2.8×	45	1.7k
Nina Topic United States	13	1.5k 1.1×	204 0.6×	325 1.8×	248 1.5×	64 0.4×	18	1.8k

Countries citing papers authored by A Tropeano

Since Specialization

Citations

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

Fields of papers citing papers by A Tropeano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A Tropeano

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Désaméricq, G., et al.. (2014). Carotid-Femoral Pulse Wave Velocity Is Not Increased in Obesity. American Journal of Hypertension. 28(4). 546–551. 28 indexed citations

2.

Maison, Patrick, A Tropeano, Isabelle Macquin‐Mavier, Andrea Giustina, & Philippe Chanson. (2007). Impact of somatostatin analogs on the heart in acromegaly: a meta-analysis. 14. 4 indexed citations

3.

Boutouyrie, Pierre, A Tropeano, Roland Asmar, et al.. (2002). Aortic Stiffness Is an Independent Predictor of Primary Coronary Events in Hypertensive Patients. Hypertension. 39(1). 10–15. 1386 indexed citations breakdown →

4.

Simon, Tabassome, Pierre Boutouyrie, Antoine Simon, et al.. (2002). Influence of Tamoxifen on Carotid Intima-Media Thickness in Postmenopausal Women. Circulation. 106(23). 2925–2929. 41 indexed citations

5.

Laurent, Stéphane, A Tropeano, & Pierre Boutouyrie. (2000). Aortic Stiffness Versus Framingham Score as Independent Predictors of Coronary Heart Disease in Hypertensive Patients. Hypertension. 36. 713–713. 1 indexed citations

6.

Tropeano, A. (1952). [Posadas' disease (coccidioidomycosis)].. PubMed. 39(47). 2889–99. 1 indexed citations

7.

Tropeano, A, et al.. (1951). Probable Causes of Infection of Surgical Wounds, with Special Reference to Tetanic Bacillus. Plastic & Reconstructive Surgery. 8(6). 491–491. 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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