Georgeta Vaidean

1.5k total citations · 2 hit papers
41 papers, 1.1k citations indexed

About

Georgeta Vaidean is a scholar working on Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Surgery. According to data from OpenAlex, Georgeta Vaidean has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 10 papers in Public Health, Environmental and Occupational Health and 7 papers in Surgery. Recurrent topics in Georgeta Vaidean's work include Cardiovascular Health and Risk Factors (7 papers), Nutritional Studies and Diet (5 papers) and Lipoproteins and Cardiovascular Health (4 papers). Georgeta Vaidean is often cited by papers focused on Cardiovascular Health and Risk Factors (7 papers), Nutritional Studies and Diet (5 papers) and Lipoproteins and Cardiovascular Health (4 papers). Georgeta Vaidean collaborates with scholars based in United States, Poland and Netherlands. Georgeta Vaidean's co-authors include Niyati Parekh, Filippa Juul, Richard C. Semelka, Andrea Deierlein, Yong Lin, John T. Woosley, Ronald I. Shorr, Polytimi Leonardou, Masayuki Kanematsu and Larissa Braga and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and Stroke.

In The Last Decade

Georgeta Vaidean

37 papers receiving 1.0k citations

Hit Papers

Ultra-processed Foods and Cardiovascular Diseases: Potent... 2021 2026 2022 2024 2021 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georgeta Vaidean United States 15 354 184 169 166 125 41 1.1k
Puja Shah United States 15 99 0.3× 21 0.1× 402 2.4× 208 1.3× 105 0.8× 45 844
Lorea Martínez‐Indart Spain 19 84 0.2× 61 0.3× 229 1.4× 52 0.3× 41 0.3× 68 1.1k
Jon D. Simmons United States 19 162 0.5× 35 0.2× 480 2.8× 67 0.4× 13 0.1× 95 1.3k
Umair Khalid United States 16 79 0.2× 51 0.3× 153 0.9× 398 2.4× 10 0.1× 57 926
Jih-Chang Chen Taiwan 18 67 0.2× 28 0.2× 326 1.9× 73 0.4× 31 0.2× 63 925
Iftach Sagy Israel 15 59 0.2× 43 0.2× 138 0.8× 76 0.5× 18 0.1× 75 729
Izza Shahid United States 14 89 0.3× 41 0.2× 81 0.5× 324 2.0× 24 0.2× 63 826
Udaya Ralapanawa Sri Lanka 15 188 0.5× 81 0.4× 162 1.0× 286 1.7× 6 0.0× 53 874
Alice Gallo de Moraes United States 13 83 0.2× 21 0.1× 97 0.6× 43 0.3× 58 0.5× 63 563
Evi Nagler Belgium 14 228 0.6× 22 0.1× 337 2.0× 87 0.5× 67 0.5× 33 1.3k

Countries citing papers authored by Georgeta Vaidean

Since Specialization
Citations

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

Fields of papers citing papers by Georgeta Vaidean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georgeta Vaidean

This figure shows the co-authorship network connecting the top 25 collaborators of Georgeta Vaidean. A scholar is included among the top collaborators of Georgeta Vaidean 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 Georgeta Vaidean. Georgeta Vaidean 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.
Vaidean, Georgeta, et al.. (2025). Trends in lipoprotein(a) testing and impact on clinical care: A contemporary systemwide analysis. American Journal of Preventive Cardiology. 25. 101402–101402.
2.
Vaidean, Georgeta, et al.. (2024). Traditional and non-traditional cardiovascular risk factor profiles in young patients with coronary artery disease. SHILAP Revista de lepidopterología. 47. 100471–100471.
5.
Fishbein, Joanna, et al.. (2023). Clinical, Sociodemographic, and Neighborhood Characteristics Associated with Adverse Pregnancy Outcomes. Journal of Women s Health. 33(3). 308–317. 2 indexed citations
6.
Juul, Filippa, Andrea Deierlein, Georgeta Vaidean, Paula A. Quatromoni, & Niyati Parekh. (2022). Ultra-processed Foods and Cardiometabolic Health Outcomes: from Evidence to Practice. Current Atherosclerosis Reports. 24(11). 849–860. 27 indexed citations
7.
Vaidean, Georgeta, et al.. (2021). Preventive Cardiovascular Care in Patients With HIV Infection in an Outpatient Clinic. Journal of Pharmacy Practice. 35(4). 612–616. 2 indexed citations
8.
Juul, Filippa, Georgeta Vaidean, Yong Lin, Andrea Deierlein, & Niyati Parekh. (2021). Ultra-Processed Foods and Incident Cardiovascular Disease in the Framingham Offspring Study. Journal of the American College of Cardiology. 77(12). 1520–1531. 140 indexed citations breakdown →
9.
Juul, Filippa, Georgeta Vaidean, & Niyati Parekh. (2021). Ultra-processed Foods and Cardiovascular Diseases: Potential Mechanisms of Action. Advances in Nutrition. 12(5). 1673–1680. 219 indexed citations breakdown →
10.
Garshick, Michael, et al.. (2019). Sex differences in the prevalence of vascular disease and risk factors in young hospitalized patients with psoriasis. International Journal of Women’s Dermatology. 5(4). 251–255. 10 indexed citations
11.
Guşetu, Gabriel, et al.. (2019). CV RISK – A new relative cardiovascular risk score. Medical Hypotheses. 132. 109362–109362. 7 indexed citations
12.
Mańczuk, Marta, Georgeta Vaidean, Mahshid Dehghan, et al.. (2016). Ideal cardiovascular health is associated with self-rated health status. The Polish Norwegian Study (PONS). International Journal of Cardiology. 230. 549–555. 14 indexed citations
13.
Ramalho, Miguel, et al.. (2012). Hepatic sarcoidosis: MR appearances in patients with chronic liver disease. Magnetic Resonance Imaging. 31(3). 432–438. 8 indexed citations
14.
Herédia, Vasco, Miguel Ramalho, Rafael O.P. de Campos, et al.. (2011). Comparison of a single shot T1‐weighted in‐ and out‐of‐phase magnetization prepared gradient recalled echo with a standard two‐dimensional gradient recalled echo: Preliminary findings. Journal of Magnetic Resonance Imaging. 33(6). 1482–1490. 10 indexed citations
15.
Semelka, Richard C., et al.. (2010). Evaluation of Radiologist Interpretive Performance Using Blinded Reads by Multiple External Readers. Investigative Radiology. 45(4). 211–216. 6 indexed citations
16.
Taqi, Muhammad, et al.. (2010). A Case–Control Study of Stroke Risk Factors and Outcomes in African American Stroke Patients With and Without Crack–Cocaine Abuse. Neurocritical Care. 16(2). 273–279. 7 indexed citations
17.
Altun, Ersan, et al.. (2009). Enhancement of abdominal organs on hepatic arterial phase: quantitative comparison between 1.5- and 3.0-T magnetic resonance imaging. Magnetic Resonance Imaging. 28(1). 47–55. 21 indexed citations
19.
Vaidean, Georgeta, Emily B. Schroeder, Eric A. Whitsel, et al.. (2005). Short-term repeatability of electrocardiographic spatial T-wave axis and QT interval. Journal of Electrocardiology. 38(2). 139–147. 20 indexed citations
20.
Venkataraman, Shambhavi, Richard C. Semelka, Susan Mace Weeks, Larissa Braga, & Georgeta Vaidean. (2002). Assessment of aorto‐iliac disease with magnetic resonance angiography using arterial phase 3‐d gradient‐echo and interstitial phase 2‐d fat‐suppressed spoiled gradient‐echo sequences. Journal of Magnetic Resonance Imaging. 17(1). 43–53. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026