Rimvydas Šlapikas

16.2k total citations
39 papers, 360 citations indexed

About

Rimvydas Šlapikas is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rimvydas Šlapikas has authored 39 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cardiology and Cardiovascular Medicine, 11 papers in Surgery and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rimvydas Šlapikas's work include Cardiac Imaging and Diagnostics (11 papers), Acute Myocardial Infarction Research (8 papers) and Blood Pressure and Hypertension Studies (7 papers). Rimvydas Šlapikas is often cited by papers focused on Cardiac Imaging and Diagnostics (11 papers), Acute Myocardial Infarction Research (8 papers) and Blood Pressure and Hypertension Studies (7 papers). Rimvydas Šlapikas collaborates with scholars based in Lithuania, Germany and United States. Rimvydas Šlapikas's co-authors include Indrė Čeponienė, Rūta Marija Babarskienė, Jonė Venclovienė, Remigijus Žaliūnas, Dalia Adukauskienė, Agnė Adukauskaitė, Žaneta Petrulionienė, Olivija Gustienė, Dalia Lukšienė and Ligita Ryliškytė and has published in prestigious journals such as Atherosclerosis, BMJ Open and Natural Hazards.

In The Last Decade

Rimvydas Šlapikas

33 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rimvydas Šlapikas Lithuania 11 178 71 64 59 55 39 360
Jeun-Liang Yeh United States 7 197 1.1× 54 0.8× 63 1.0× 33 0.6× 54 1.0× 8 395
Eva Swahn Sweden 7 269 1.5× 26 0.4× 65 1.0× 64 1.1× 36 0.7× 16 381
Roma Puronaitė Lithuania 12 190 1.1× 39 0.5× 82 1.3× 52 0.9× 92 1.7× 52 415
Abdullah Shehab United Arab Emirates 11 225 1.3× 68 1.0× 56 0.9× 22 0.4× 41 0.7× 32 417
Joanna Lewek Poland 13 184 1.0× 40 0.6× 108 1.7× 19 0.3× 24 0.4× 38 447
Pengfei Sun China 11 147 0.8× 54 0.8× 60 0.9× 12 0.2× 32 0.6× 41 327
A.J. Mourant United Kingdom 7 269 1.5× 77 1.1× 136 2.1× 67 1.1× 35 0.6× 11 448
N. Cristal Israel 12 229 1.3× 36 0.5× 70 1.1× 36 0.6× 36 0.7× 43 414
Sabra C. Lewsey United States 10 227 1.3× 26 0.4× 79 1.2× 18 0.3× 29 0.5× 26 418
Anders Holt Denmark 10 197 1.1× 33 0.5× 31 0.5× 19 0.3× 43 0.8× 41 385

Countries citing papers authored by Rimvydas Šlapikas

Since Specialization
Citations

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

Fields of papers citing papers by Rimvydas Šlapikas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rimvydas Šlapikas

This figure shows the co-authorship network connecting the top 25 collaborators of Rimvydas Šlapikas. A scholar is included among the top collaborators of Rimvydas Šlapikas 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 Rimvydas Šlapikas. Rimvydas Šlapikas 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.
Laucevičius, Aleksandras, Žaneta Petrulionienė, Ligita Ryliškytė, et al.. (2020). Trends in cardiovascular risk factor prevalence among Lithuanian middle-aged adults between 2009 and 2018. Atherosclerosis. 299. 9–14. 9 indexed citations
2.
Adukauskienė, Dalia, et al.. (2016). Clinical relevance of high sensitivity C-reactive protein in cardiology. Medicina. 52(1). 1–10. 71 indexed citations
3.
4.
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
5.
Venclovienė, Jonė, et al.. (2014). Prognostic value of myocardial perfusion abnormalities for long-term prognosis in patients after coronary artery bypass grafting. Indian Journal of Nuclear Medicine. 29(4). 222–222. 2 indexed citations
6.
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
7.
Laucevičius, Aleksandras, Žaneta Petrulionienė, Vytautas Kasiulevičius, et al.. (2014). High-risk profile in a region with extremely elevated cardiovascular mortality.. PubMed. 54(6). 441–7. 10 indexed citations
8.
Viigimaa, Margus, Andrejs Ērglis, Gustavs Latkovskis, et al.. (2014). Prevalence of dyslipidemia in statin-treated patients in the Baltic states (Estonia, Latvia, and Lithuania): Results of the Dyslipidemia International Study (DYSIS). Medicina. 50(1). 44–53. 10 indexed citations
9.
10.
Šlapikas, Rimvydas, et al.. (2009). Policy implications of rationalization of statin use in Lithuania. International Journal of Technology Assessment in Health Care. 25(3). 419–424. 1 indexed citations
11.
Žaliūnas, Remigijus, et al.. (2008). Metabolinio sindromo komponentų dažnis tarp susirgusiųjų ūminiais išeminiais sindromais. Medicina-buenos Aires. 44(3). 182–188. 3 indexed citations
12.
Žaliūnas, Remigijus, et al.. (2008). The prevalence of the metabolic syndrome components and their combinations in men and women with acute ischemic syndromes. Medicina. 44(7). 521–521. 19 indexed citations
13.
Žaliūnas, Remigijus, et al.. (2007). The risk of cardiovascular death following the first acute ischaemic syndrome: experience in Kaunas between 1997 and 2001.. Acta Cardiologica. 62(4). 329–337. 2 indexed citations
14.
Šlapikas, Rimvydas, et al.. (2005). Ryšys tarp metabolinio sindromo, endotelio funkcijos, intimos ir medijos storio bei paciento amžiaus. Laba (Lietuvos akademinių bibliotekų direktorių asociacija). 41(10). 825–836. 2 indexed citations
15.
Gustienė, Olivija, et al.. (2005). [The prevalence of metabolic syndrome in middle-aged in Kaunas population].. PubMed. 41(10). 867–76. 6 indexed citations
16.
Žaliūnas, Remigijus, et al.. (2005). Informative value of clinical markers for the risk of cardiovascular death in postinfarction chronic heart failure. Acta Cardiologica. 60(4). 395–401.
17.
Gustienė, Olivija, et al.. (2005). [Relationship between the metabolic syndrome, endothelial function and intima-media thickness in asymptomatic middle-aged individuals].. PubMed. 41(10). 825–36. 4 indexed citations
18.
Žaliūnas, Remigijus, Rūta Marija Babarskienė, Aušra Kavoliūnienė, et al.. (2004). Mirštamumas pasireiškus lėtiniam širdies nepakankamumui po persirgto Q bangos miokardo infarkto. Medicina-buenos Aires. 40(2). 141–148.
19.
Žaliūnas, Remigijus, et al.. (1994). The Effects of Intravenous Mexiletine on Spectra of the Signal‐Averaged ECG. Pacing and Clinical Electrophysiology. 17(11). 2187–2193. 1 indexed citations
20.
Žaliūnas, Remigijus, et al.. (1994). Signal-averaged ECG in prediction of the short-term suppression of ventricular premature beats by Mexiletine. International Journal of Cardiology. 46(3). 243–254. 2 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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