Paula Abreu

1.5k total citations
36 papers, 1.1k citations indexed

About

Paula Abreu is a scholar working on Genetics, Organizational Behavior and Human Resource Management and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Paula Abreu has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 8 papers in Organizational Behavior and Human Resource Management and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Paula Abreu's work include Global Public Health Policies and Epidemiology (8 papers), Health Promotion and Cardiovascular Prevention (6 papers) and Genetic Associations and Epidemiology (5 papers). Paula Abreu is often cited by papers focused on Global Public Health Policies and Epidemiology (8 papers), Health Promotion and Cardiovascular Prevention (6 papers) and Genetic Associations and Epidemiology (5 papers). Paula Abreu collaborates with scholars based in United States, France and United Kingdom. Paula Abreu's co-authors include David A. Greenberg, Susan E. Hodge, Milayna Subar, Alawi Alsheikh‐Ali, Mohamed Omar, Wafa Rashed, Frederick J. Raal, A. Kane, Mohamed Alami and Omar Hamoui and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Paula Abreu

36 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
Paula Abreu United States 17 458 235 225 151 113 36 1.1k
Nina Mars Finland 16 420 0.9× 187 0.8× 166 0.7× 103 0.7× 45 0.4× 38 973
Laura M. Raffield United States 20 208 0.5× 163 0.7× 277 1.2× 119 0.8× 36 0.3× 79 1.1k
Alice R Carter United Kingdom 10 430 0.9× 130 0.6× 206 0.9× 86 0.6× 32 0.3× 23 1.0k
Marjorie E. Marenberg United States 7 484 1.1× 492 2.1× 305 1.4× 216 1.4× 45 0.4× 8 1.4k
Aaron Leong United States 20 400 0.9× 119 0.5× 263 1.2× 411 2.7× 57 0.5× 46 1.4k
Wes Spiller United Kingdom 8 632 1.4× 83 0.4× 252 1.1× 103 0.7× 32 0.3× 14 1.1k
Helen R. Warren United Kingdom 15 254 0.6× 279 1.2× 226 1.0× 112 0.7× 21 0.2× 40 806
George Hindy Sweden 21 377 0.8× 211 0.9× 192 0.9× 197 1.3× 27 0.2× 32 1.2k
Flora A. Ukoli United States 21 228 0.5× 174 0.7× 248 1.1× 250 1.7× 230 2.0× 50 1.3k
Ville Karhunen United Kingdom 17 265 0.6× 113 0.5× 243 1.1× 101 0.7× 20 0.2× 45 935

Countries citing papers authored by Paula Abreu

Since Specialization
Citations

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

Fields of papers citing papers by Paula Abreu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Abreu

This figure shows the co-authorship network connecting the top 25 collaborators of Paula Abreu. A scholar is included among the top collaborators of Paula Abreu 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 Paula Abreu. Paula Abreu 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.
Hoeper, Marius M., Ralf Ewert, Pavel Jansa, et al.. (2024). Randomized, Multicenter Study to Assess the Effects of Different Doses of Sildenafil on Mortality in Adults With Pulmonary Arterial Hypertension. Circulation. 149(25). 1949–1959. 7 indexed citations
2.
Findling, Robert L., et al.. (2022). Efficacy, Safety, and Tolerability of Flexibly Dosed Ziprasidone in Children and Adolescents with Mania in Bipolar I Disorder: A Randomized Placebo-Controlled Replication Study. Journal of Child and Adolescent Psychopharmacology. 32(3). 143–152. 5 indexed citations
3.
Martens, Pieter, João Pedro Ferreira, John Vincent, et al.. (2021). Serum sodium and eplerenone use in patients with a myocardial infarction and left ventricular dysfunction or heart failure: insights from the EPHESUS trial. Clinical Research in Cardiology. 111(4). 380–392. 11 indexed citations
4.
Ferreira, João Pedro, Paula Abreu, John J.V. McMurray, et al.. (2019). Renal Function Stratified Dose Comparisons of Eplerenone Versus Placebo in the EMPHASIS-HF Trial. European Journal of Heart Failure. 21(3). 345–351. 48 indexed citations
7.
Nibouche, Djamaleddine, et al.. (2018). Facteurs de risque cardio-vasculaires en Algérie. Une analyse du sous-groupe de l’étude «  Africa/Middle East Cardiovascular Epidemiological  ». Annales de Cardiologie et d Angéiologie. 67(2). 61–66. 5 indexed citations
8.
Raal, Frederick J., Alawi Alsheikh‐Ali, Mohamed Omar, et al.. (2018). Cardiovascular risk factor burden in Africa and the Middle East across country income categories: a post hoc analysis of the cross-sectional Africa Middle East Cardiovascular Epidemiological (ACE) study. Archives of Public Health. 76(1). 15–15. 23 indexed citations
9.
Ahmed, Amjad, et al.. (2017). Cardiovascular risk factors burden in Saudi Arabia: The Africa Middle East Cardiovascular Epidemiological (ACE) study. Journal of the Saudi Heart Association. 29(4). 235–243. 85 indexed citations
11.
12.
Bolliger, Chris T., et al.. (2011). Effects of Varenicline in Adult Smokers: A Multinational, 24-Week, Randomized, Double-Blind, Placebo-Controlled Study. Clinical Therapeutics. 33(4). 465–477. 44 indexed citations
13.
Campos, Susana M., Jean Paul Guastalla, Milayna Subar, et al.. (2009). A Comparative Study of Exemestane Versus Anastrozole in Patients with Postmenopausal Breast Cancer with Visceral Metastases. Clinical Breast Cancer. 9(1). 39–44. 32 indexed citations
14.
Goss, Paul E., et al.. (2007). Effects of steroidal and nonsteroidal aromatase inhibitors on markers of bone turnover in healthy postmenopausal women. Breast Cancer Research. 9(4). R52–R52. 68 indexed citations
15.
Abreu, Paula, Susan E. Hodge, & David A. Greenberg. (2002). Quantification of type I error probabilities for heterogeneity LOD scores. Genetic Epidemiology. 22(2). 156–169. 31 indexed citations
16.
Gagné, Claude, Daniel Gaudet, Éric Bruckert, et al.. (2002). Ezetimibe significantly reduces low-density lipoprotein cholesterol in homozygous familial hypercholesterolemia. Journal of the American College of Cardiology. 39. 227–227. 5 indexed citations
17.
Greenberg, David A. & Paula Abreu. (2001). Determining trait locus position from multipoint analysis: Accuracy and power of three different statistics. Genetic Epidemiology. 21(4). 299–314. 50 indexed citations
18.
Abreu, Paula, David A. Greenberg, & Susan E. Hodge. (1999). Direct Power Comparisons between Simple LOD Scores and NPL Scores for Linkage Analysis in Complex Diseases. The American Journal of Human Genetics. 65(3). 847–857. 105 indexed citations
19.
Durner, Martina, Ding‐Yi Fu, Paula Abreu, et al.. (1999). Evidence for Linkage of Adolescent-Onset Idiopathic Generalized Epilepsies to Chromosome 8—and Genetic Heterogeneity. The American Journal of Human Genetics. 64(5). 1411–1419. 45 indexed citations
20.
Greenberg, David A., Paula Abreu, & Susan E. Hodge. (1998). The Power to Detect Linkage in Complex Disease by Means of Simple LOD-Score Analyses. The American Journal of Human Genetics. 63(3). 870–879. 159 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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