Roma Puronaitė

653 total citations
52 papers, 415 citations indexed

About

Roma Puronaitė is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Roma Puronaitė has authored 52 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cardiology and Cardiovascular Medicine, 13 papers in Epidemiology and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Roma Puronaitė's work include Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Blood Pressure and Hypertension Studies (10 papers) and Cardiovascular Health and Disease Prevention (10 papers). Roma Puronaitė is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Blood Pressure and Hypertension Studies (10 papers) and Cardiovascular Health and Disease Prevention (10 papers). Roma Puronaitė collaborates with scholars based in Lithuania, United States and France. Roma Puronaitė's co-authors include Aleksandras Laucevičius, Rokas Navickas, Jolita Badarienė, Ligita Ryliškytė, Vytautas Kasiulevičius, Pranas Šerpytis, Sigita Glaveckaitė, Nomeda Valevičienė, Elena Jurevičienė and Žaneta Petrulionienė and has published in prestigious journals such as The American Journal of Medicine, International Journal of Environmental Research and Public Health and Journal of Thoracic and Cardiovascular Surgery.

In The Last Decade

Roma Puronaitė

46 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roma Puronaitė Lithuania 12 190 92 82 67 53 52 415
Arto Pietilä Finland 13 292 1.5× 114 1.2× 89 1.1× 56 0.8× 60 1.1× 34 558
Mostafa Q. Alshamiri Saudi Arabia 11 261 1.4× 61 0.7× 42 0.5× 108 1.6× 46 0.9× 24 462
Scott Shurmur United States 11 196 1.0× 58 0.6× 100 1.2× 52 0.8× 36 0.7× 37 447
Lena Mathews United States 13 265 1.4× 48 0.5× 69 0.8× 28 0.4× 31 0.6× 40 511
Patricia Vassallo United States 9 352 1.9× 62 0.7× 50 0.6× 60 0.9× 56 1.1× 15 622
Jakob Dörler Austria 14 177 0.9× 58 0.6× 82 1.0× 103 1.5× 29 0.5× 27 423
Staffan Nilsson Sweden 15 224 1.2× 62 0.7× 63 0.8× 37 0.6× 44 0.8× 28 500
Humberto Morais Portugal 8 457 2.4× 92 1.0× 87 1.1× 87 1.3× 32 0.6× 50 585
Carmelo Massimiliano Rao Italy 13 402 2.1× 70 0.8× 102 1.2× 30 0.4× 41 0.8× 47 530
Yeonhee Lee South Korea 15 127 0.7× 118 1.3× 79 1.0× 63 0.9× 88 1.7× 34 630

Countries citing papers authored by Roma Puronaitė

Since Specialization
Citations

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

Fields of papers citing papers by Roma Puronaitė

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roma Puronaitė

This figure shows the co-authorship network connecting the top 25 collaborators of Roma Puronaitė. A scholar is included among the top collaborators of Roma Puronaitė 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 Roma Puronaitė. Roma Puronaitė 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.
Puronaitė, Roma, et al.. (2024). Aortic pulse wave velocity predicts cardiovascular mortality among middle-aged metabolic syndrome subjects without overt cardiovascular disease. Nutrition & Metabolism. 21(1). 98–98. 2 indexed citations
2.
Shkolnik, Evgeny, Roma Puronaitė, Birutė Petrauskienė, et al.. (2023). The association of catestatin and endocan with the effects of cardiac shock wave therapy: Biomarker sub-study of the randomized, sham procedure-controlled trial. Frontiers in Cardiovascular Medicine. 10. 1004574–1004574. 1 indexed citations
3.
Puronaitė, Roma, et al.. (2023). Determinants of Patient-Perceived Primary Healthcare Quality in Lithuania. International Journal of Environmental Research and Public Health. 20(6). 4720–4720.
4.
Vaitkevičienė, Goda, et al.. (2023). Development and Integration of Patient-Reported Measures into E-Health System: Pilot Feasibility Study. Healthcare. 11(16). 2290–2290. 6 indexed citations
5.
Jurevičienė, Elena, Vytautas Kasiulevičius, Edita Kazėnaitė, et al.. (2022). Epidemiology of Chronic Obstructive Pulmonary Disease (COPD) Comorbidities in Lithuanian National Database: A Cluster Analysis. International Journal of Environmental Research and Public Health. 19(2). 970–970. 8 indexed citations
6.
7.
8.
Puronaitė, Roma, et al.. (2021). Patient Engagement System for the Improvement of Healthcare Quality. Journal of the Association for Information Systems.
9.
Ryliškytė, Ligita, et al.. (2019). A High Prevalence of Intracranial Stenosis in Patients with Coronary Artery Disease and the Diagnostic Value of Transcranial Duplex Sonography. Journal of Stroke and Cerebrovascular Diseases. 28(4). 1015–1021. 6 indexed citations
10.
Lie, Irene, Roma Puronaitė, Hans L. Hillege, et al.. (2018). The dynamics of self-care in the course of heart failure management: data from the IN TOUCH study. Patient Preference and Adherence. Volume 12. 1113–1122. 23 indexed citations
11.
Jurevičienė, Elena, et al.. (2018). Does multimorbidity still remain a matter of the elderly: Lithuanian national data analysis. Health Policy. 122(6). 681–686. 15 indexed citations
12.
Kutkienė, S., et al.. (2018). Severe dyslipidemia and concomitant risk factors in the middle-aged Lithuanian adults: a cross-sectional cohort study. Lipids in Health and Disease. 17(1). 88–88. 7 indexed citations
13.
Puronaitė, Roma, et al.. (2018). Validation of the LITHUANIAN version of the 19-item audit of diabetes dependent quality of life (ADDQOL – LT) questionnaire in patients with diabetes. Health and Quality of Life Outcomes. 16(1). 206–206. 7 indexed citations
14.
Puronaitė, Roma, et al.. (2017). Relationship between radiologic patterns, pulmonary function values and bronchoalveolar lavage fluid cells in newly diagnosed sarcoidosis. Journal of Thoracic Disease. 9(1). 88–95. 23 indexed citations
15.
Glaveckaitė, Sigita, et al.. (2016). Clinical features and three-year outcomes of Takotsubo (stress) cardiomyopathy: Observational data from one center. Hellenic Journal of Cardiology. 57(6). 428–434. 25 indexed citations
16.
Navickas, Rokas, et al.. (2015). Prevalence and structure of multiple chronic conditions in Lithuanian population and the distribution of the associated healthcare resources. European Journal of Internal Medicine. 26(3). 160–168. 24 indexed citations
17.
Solovjova, Svetlana, Ligita Ryliškytė, Jelena Čelutkienė, et al.. (2015). Aortic stiffness is an independent determinant of left ventricular diastolic dysfunction in metabolic syndrome patients. Blood Pressure. 25(1). 11–20. 7 indexed citations
18.
Laucevičius, Aleksandras, Žaneta Petrulionienė, Roma Puronaitė, et al.. (2014). Prevalence of high-risk profile in middle-aged subjects with arterial hypertension: A nationwide survey. Blood Pressure. 23(5). 281–287. 6 indexed citations
19.
20.

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

Breakdown of academic impact, for papers by Arto Pietilä Breakdown of academic impact, for papers by Mostafa Q. Alshamiri Breakdown of academic impact, for papers by Scott Shurmur Breakdown of academic impact, for papers by Lena Mathews Breakdown of academic impact, for papers by Patricia Vassallo Breakdown of academic impact, for papers by Jakob Dörler Breakdown of academic impact, for papers by Staffan Nilsson Breakdown of academic impact, for papers by Humberto Morais Breakdown of academic impact, for papers by Carmelo Massimiliano Rao Breakdown of academic impact, for papers by Yeonhee Lee
Rankless by CCL
2026