Dalius Vitkus

26 papers receiving 216 citations

Peers

Dalius Vitkus
Comparison fields: 5 of 78
  • Medical Laboratory Technology 9
  • Health Informatics 4
  • Statistics, Probability and Uncertainty 17
  • Periodontics 11
  • Family Practice 4
Replace Azin Vakilpour with:
Azin Vakilpour Iran
Clarissa Belloli Italy
Sara Gaines United States
Shichao Xing China
Hiromichi Imaizumi Japan
Jinmei Yao China
Jessica Dahmus United States
V. T. Jissa India
Stefanie Ascher Germany
Shenghu He China
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Citations per year

Countries citing papers authored by Dalius Vitkus

Since Specialization
Citations

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

Fields of papers citing papers by Dalius Vitkus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dalius Vitkus, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dalius Vitkus Line = papers co-authored together Dalius Vitkus links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200729
2 202025
3 201620
4 201518
5 201718
6 201816
7 202114
8 202114
9 201313
10 201512
11 20245
12 20215
13
Can chewing gum be another source of preanalytical variability in fasting outpatients?
20205
14 20224
15 20234
16 20173
17 20223
18 20213
19 20223
20
[Influence of omega-3 fatty acids on lipid metabolism in children with steroid sensitive nephrotic syndrome].
20033

About Dalius Vitkus

Dalius Vitkus is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Physiology, Molecular Biology and Epidemiology, having authored 27 papers that have together received 226 indexed citations. Recurring topics across this work include Cardiac Structural Anomalies and Repair (3 papers), Viral Infections and Immunology Research (3 papers), Hemodynamic Monitoring and Therapy (2 papers), Vitamin D Research Studies (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Healthcare cost, quality, practices (2 papers), Muscle metabolism and nutrition (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Medical Laboratory Technology (9 citations), Health Informatics (4 citations), Statistics, Probability and Uncertainty (17 citations), Periodontics (11 citations) and Family Practice (4 citations). Dalius Vitkus has collaborated with scholars based in Lithuania, Germany and Netherlands. Frequent co-authors include Edvardas Žurauskas, Kęstutis Ručinskas, Sonata Jarmalaitė, Алина Пуриене, Daiva Bironaitė, İrena Butrimienė, Julius Bogomolovas, Albertas Ulys, Arnas Bakavičius and A. Želvys. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Biomedicines, BioMed Research International, Advances in experimental medicine and biology and BMJ Open.

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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