Caroline Demacq

40 total papers · 877 total citations
25 papers, 589 citations indexed

About

Caroline Demacq is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Physiology. According to data from OpenAlex, Caroline Demacq has authored 25 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 7 papers in Epidemiology and 6 papers in Physiology. Recurrent topics in Caroline Demacq's work include Blood Pressure and Hypertension Studies (7 papers), Trypanosoma species research and implications (6 papers) and Protease and Inhibitor Mechanisms (5 papers). Caroline Demacq is often cited by papers focused on Blood Pressure and Hypertension Studies (7 papers), Trypanosoma species research and implications (6 papers) and Protease and Inhibitor Mechanisms (5 papers). Caroline Demacq collaborates with scholars based in Brazil, United States and Switzerland. Caroline Demacq's co-authors include José E. Tanus‐Santos, Raquel F. Gerlach, Heitor Moreno, Valéria Nasser Figueiredo, Klaus Jung, Luíz Cláudio Martins, Thiago Quinaglia, Eduardo Pimenta, José Fernando Vilela-Martin and Juan Carlos Yugar‐Toledo and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Pharmacology and Clinica Chimica Acta.

In The Last Decade

Caroline Demacq

25 papers receiving 578 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Caroline Demacq 292 168 107 83 77 25 589
Steve Martin 216 0.7× 100 0.6× 226 2.1× 192 2.3× 75 1.0× 17 633
D Felmeden 312 1.1× 46 0.3× 78 0.7× 102 1.2× 62 0.8× 26 565
Tatiane C. Izidoro‐Toledo 127 0.4× 114 0.7× 51 0.5× 56 0.7× 47 0.6× 22 561
Ying Huang 234 0.8× 60 0.4× 107 1.0× 141 1.7× 106 1.4× 42 619
Rıdvan Yalçin 301 1.0× 57 0.3× 42 0.4× 127 1.5× 49 0.6× 47 641
Hafid Narayan 325 1.1× 46 0.3× 80 0.7× 136 1.6× 60 0.8× 21 607
K. Stewart 106 0.4× 75 0.4× 74 0.7× 163 2.0× 25 0.3× 21 563
Shenghua Yang 84 0.3× 123 0.7× 97 0.9× 138 1.7× 63 0.8× 25 529
Antônio Carlos Palandri Chagas 188 0.6× 56 0.3× 49 0.5× 70 0.8× 93 1.2× 22 497
Regina Wikinski 130 0.4× 96 0.6× 208 1.9× 190 2.3× 117 1.5× 33 638

Countries citing papers authored by Caroline Demacq

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Demacq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Demacq

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

All Works

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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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2026