Indrė Čeponienė

1.6k total citations
26 papers, 470 citations indexed

About

Indrė Čeponienė is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Indrė Čeponienė has authored 26 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cardiology and Cardiovascular Medicine, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Surgery. Recurrent topics in Indrė Čeponienė's work include Cardiac Imaging and Diagnostics (9 papers), Blood Pressure and Hypertension Studies (7 papers) and Cardiovascular Health and Disease Prevention (6 papers). Indrė Čeponienė is often cited by papers focused on Cardiac Imaging and Diagnostics (9 papers), Blood Pressure and Hypertension Studies (7 papers) and Cardiovascular Health and Disease Prevention (6 papers). Indrė Čeponienė collaborates with scholars based in Lithuania, United States and Japan. Indrė Čeponienė's co-authors include Matthew J. Budoff, Rimvydas Šlapikas, Janina Petkevičienė, Jūratė Klumbienė, Rine Nakanishi, Dalia Adukauskienė, Kazuhiro Osawa, Agnė Adukauskaitė, Vilma Kriaučionienė and James H. Stein and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Indrė Čeponienė

23 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Indrė Čeponienė Lithuania 13 212 133 113 68 57 26 470
Zhu‐Ming Zhang United States 14 756 3.6× 123 0.9× 55 0.5× 86 1.3× 51 0.9× 21 943
Louai Razzouk United States 11 180 0.8× 177 1.3× 177 1.6× 48 0.7× 41 0.7× 40 563
Isac C. Thomas United States 15 318 1.5× 103 0.8× 88 0.8× 18 0.3× 69 1.2× 34 524
Kongyong Cui China 13 266 1.3× 100 0.8× 155 1.4× 181 2.7× 30 0.5× 41 486
Hamid Sanei Iran 11 134 0.6× 57 0.4× 38 0.3× 25 0.4× 29 0.5× 57 319
Marilucy Lopez‐Sublet France 11 162 0.8× 32 0.2× 92 0.8× 50 0.7× 20 0.4× 42 410
K.-H. Mak Singapore 11 240 1.1× 47 0.4× 226 2.0× 89 1.3× 27 0.5× 14 480
Banafsheh Arshi Netherlands 13 239 1.1× 62 0.5× 63 0.6× 102 1.5× 69 1.2× 29 514
Masoor Kamalesh United States 16 581 2.7× 256 1.9× 216 1.9× 138 2.0× 13 0.2× 66 900
Hasan Ali Gümrükçüoğlu Türkiye 13 299 1.4× 55 0.4× 81 0.7× 29 0.4× 20 0.4× 65 511

Countries citing papers authored by Indrė Čeponienė

Since Specialization
Citations

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

Fields of papers citing papers by Indrė Čeponienė

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Indrė Čeponienė

This figure shows the co-authorship network connecting the top 25 collaborators of Indrė Čeponienė. A scholar is included among the top collaborators of Indrė Čeponienė 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 Indrė Čeponienė. Indrė Čeponienė 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.
Briedis, Kasparas, Vaida Mizarienė, Martynas Jurėnas, et al.. (2023). Safety and performance of the Vienna self-expandable transcatheter aortic valve system: 6-month results of the VIVA first-in-human feasibility study. Frontiers in Cardiovascular Medicine. 10. 1199047–1199047.
3.
Osawa, Kazuhiro, Rine Nakanishi, Indrė Čeponienė, et al.. (2020). Predicting Left Atrial Appendage Thrombus from Left Atrial Volume and Confirmation by Computed Tomography with Delayed Enhancement. Texas Heart Institute Journal. 47(2). 78–85. 6 indexed citations
4.
Nakanishi, Rine, Joseph A. Delaney, Wendy S. Post, et al.. (2019). A novel density-volume calcium score by non-contrast CT predicts coronary plaque burden on coronary CT angiography: Results from the MACS (Multicenter AIDS cohort study). Journal of cardiovascular computed tomography. 14(3). 266–271. 6 indexed citations
5.
Osawa, Kazuhiro, Rine Nakanishi, Toru Miyoshi, et al.. (2018). Correlation of Arterial Stiffness With Left Atrial Volume Index and Left Ventricular Mass Index in Young Adults: Evaluation by Coronary Computed Tomography Angiography. Heart Lung and Circulation. 28(6). 932–938. 9 indexed citations
7.
Nakanishi, Rine, Sethuraman Sankaran, Leo Grady, et al.. (2018). Automated estimation of image quality for coronary computed tomographic angiography using machine learning. European Radiology. 28(9). 4018–4026. 19 indexed citations
8.
Osawa, Kazuhiro, Rine Nakanishi, Robyn L. McClelland, et al.. (2018). Coronary artery calcium and carotid artery intima-media thickness for the prediction of stroke and benefit from statins. European Journal of Preventive Cardiology. 25(18). 1980–1987. 16 indexed citations
9.
Khoudary, Samar R. El, Indrė Čeponienė, Saad Samargandy, et al.. (2018). HDL (High-Density Lipoprotein) Metrics and Atherosclerotic Risk in Women. Arteriosclerosis Thrombosis and Vascular Biology. 38(9). 2236–2244. 54 indexed citations
10.
Čeponienė, Indrė, Rine Nakanishi, Kazuhiro Osawa, et al.. (2017). Coronary Artery Calcium Progression Is Associated With Coronary Plaque Volume Progression. JACC. Cardiovascular imaging. 11(12). 1785–1794. 18 indexed citations
11.
Nakanishi, Rine, Kazuhiro Osawa, Indrė Čeponienė, et al.. (2017). The diagnostic performance of SPECT-MPI to predict functional significant coronary artery disease by fractional flow reserve derived from CCTA (FFRCT): sub-analysis from ACCURACY and VCT001 studies. International journal of cardiac imaging. 33(12). 2067–2072. 4 indexed citations
12.
Adukauskienė, Dalia, et al.. (2016). Clinical relevance of high sensitivity C-reactive protein in cardiology. Medicina. 52(1). 1–10. 71 indexed citations
15.
Petkevičienė, Janina, et al.. (2015). Anthropometric measurements in childhood and prediction of cardiovascular risk factors in adulthood: Kaunas cardiovascular risk cohort study. BMC Public Health. 15(1). 218–218. 43 indexed citations
16.
Čeponienė, Indrė, Jūratė Klumbienė, Eglė Tamulevičiūtė-Prascienė, et al.. (2015). Associations between risk factors in childhood (12–13 years) and adulthood (48–49 years) and subclinical atherosclerosis: the Kaunas Cardiovascular Risk Cohort Study. BMC Cardiovascular Disorders. 15(1). 89–89. 25 indexed citations
17.
Gražulevičienė, Regina, Jonė Venclovienė, Raimondas Kubilius, et al.. (2015). The Effect of Park and Urban Environments on Coronary Artery Disease Patients: A Randomized Trial. BioMed Research International. 2015. 1–9. 44 indexed citations
18.
Šakalytė, Gintarė, et al.. (2015). Anxiety and depression in patients with arterial hypertension. Lithuanian University of Health Sciences. 1 indexed citations
19.
Petkevičienė, Janina, Jūratė Klumbienė, Indrė Čeponienė, et al.. (2014). Physical, Behavioural and Genetic Predictors of Adult Hypertension: The Findings of the Kaunas Cardiovascular Risk Cohort Study. PLoS ONE. 9(10). e109974–e109974. 21 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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