Daria Pašalić

628 total citations
30 papers, 439 citations indexed

About

Daria Pašalić is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Daria Pašalić has authored 30 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Daria Pašalić's work include Lipid metabolism and disorders (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). Daria Pašalić is often cited by papers focused on Lipid metabolism and disorders (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). Daria Pašalić collaborates with scholars based in Croatia, United States and Italy. Daria Pašalić's co-authors include Natalija Marinković, Ana Stavljenić-Rukavina, Branka Gršković, Slavica Dodig, Jasna Jurasović, Alica Pizent, Ankica Sekovanić, Snježana Kaštelan, Martina Piasek and Tatjana Orct and has published in prestigious journals such as International Journal of Molecular Sciences, Clinica Chimica Acta and Public Health Nutrition.

In The Last Decade

Daria Pašalić

28 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daria Pašalić Croatia 10 114 92 66 59 55 30 439
Rengin Elsürer Afşar Türkiye 13 97 0.9× 78 0.8× 102 1.5× 66 1.1× 46 0.8× 43 473
Ana Rosa Cunha Brazil 12 136 1.2× 62 0.7× 49 0.7× 84 1.4× 113 2.1× 21 697
Shuhua Zhang China 15 160 1.4× 52 0.6× 38 0.6× 74 1.3× 53 1.0× 47 602
Yihong Zhong China 10 110 1.0× 44 0.5× 185 2.8× 31 0.5× 37 0.7× 19 436
Zihao Zhao China 13 230 2.0× 63 0.7× 133 2.0× 62 1.1× 66 1.2× 40 613
Xuyan He China 12 166 1.5× 57 0.6× 84 1.3× 42 0.7× 26 0.5× 15 809
Chan-Jung Liang Taiwan 11 248 2.2× 110 1.2× 56 0.8× 76 1.3× 54 1.0× 12 645
Rafael Rodríguez‐Muñoz Mexico 16 318 2.8× 83 0.9× 114 1.7× 36 0.6× 34 0.6× 25 673
Sung Woon Kim South Korea 17 142 1.2× 68 0.7× 33 0.5× 184 3.1× 34 0.6× 43 614
Jun Yao Liu United States 13 122 1.1× 31 0.3× 28 0.4× 45 0.8× 72 1.3× 20 447

Countries citing papers authored by Daria Pašalić

Since Specialization
Citations

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

Fields of papers citing papers by Daria Pašalić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daria Pašalić

This figure shows the co-authorship network connecting the top 25 collaborators of Daria Pašalić. A scholar is included among the top collaborators of Daria Pašalić 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 Daria Pašalić. Daria Pašalić 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.
Banfi, Giuseppe, Borut Božič, Murat Cihan, et al.. (2024). Point-of-care testing, near-patient testing and patient self-testing: warning points. Clinical Chemistry and Laboratory Medicine (CCLM). 62(12). 2388–2392. 6 indexed citations
2.
Kaštelan, Snježana, et al.. (2024). Genetic and Epigenetic Biomarkers Linking Alzheimer’s Disease and Age-Related Macular Degeneration. International Journal of Molecular Sciences. 25(13). 7271–7271. 7 indexed citations
3.
Kaštelan, Snježana, et al.. (2024). Biological characteristics and clinical management of uveal and conjunctival melanoma. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 32(8). 1265–1285. 4 indexed citations
5.
Sekovanić, Ankica, Daria Pašalić, Tatjana Orct, et al.. (2022). The effects of maternal cigarette smoking on cadmium and lead levels, miRNA expression and biochemical parameters across the feto-placental unit. Heliyon. 8(12). e12568–e12568. 3 indexed citations
6.
Pašalić, Daria, et al.. (2019). Maternal cigarette smoking and expression of selected micro-RNAS in the plasma collected after spontaneous vaginal delivery. Clinica Chimica Acta. 493. S572–S572. 1 indexed citations
7.
Sekovanić, Ankica, Jasna Jurasović, Martina Piasek, et al.. (2017). Metallothionein 2A gene polymorphism and trace elements in mother-newborn pairs in the Croatian population. Journal of Trace Elements in Medicine and Biology. 45. 163–170. 18 indexed citations
8.
Pašalić, Daria, et al.. (2016). Licensing of medical biochemists and specialists in laboratory medicine, Croatian academic educated professionals in health care. Journal of Educational Evaluation for Health Professions. 13. 4–4.
9.
Kuleš, Josipa, et al.. (2016). he knowledge and understanding of preanalytical phase among biomedicine students at the University of Zagreb. Biochemia Medica. 26(1). 90–97. 6 indexed citations
10.
Marinković, Natalija, et al.. (2013). Polymorphisms of genes involved in polycyclic aromatic hydrocarbons’biotransformation and atherosclerosis. Biochemia Medica. 23(3). 255–265. 39 indexed citations
11.
Pašalić, Daria, Alica Pizent, Jasna Jurasović, et al.. (2012). Prostate Cancer in Elderly Croatian Men: 5-HT Genetic Polymorphisms and the Influence of Androgen Deprivation Therapy on Osteopenia—A Pilot Study. Genetic Testing and Molecular Biomarkers. 16(6). 598–604. 2 indexed citations
12.
Pašalić, Daria, et al.. (2012). Uric acid as one of the important factors in multifactorial disorders – facts and controversies. Biochemia Medica. 22(1). 63–75. 125 indexed citations
13.
Pizent, Alica, et al.. (2012). FABP 2 gene polymorphism and metabolic syndrome in elderly people of Croatian descent. Biochemia Medica. 22(2). 217–224. 13 indexed citations
14.
Cvijetić, Selma, Mladen Pavlović, Daria Pašalić, & Slavica Dodig. (2011). Ultrasound bone measurement in an older population with metabolic syndrome. Aging Clinical and Experimental Research. 23(1). 29–34. 8 indexed citations
15.
Pašalić, Daria, et al.. (2010). High prevalence of metabolic syndrome in an elderly Croatian population – a multicentre study. Public Health Nutrition. 14(9). 1650–1657. 11 indexed citations
16.
Marinković, Natalija, et al.. (2008). Genotype frequencies of UDP-glucuronosyltransferase 1A1 promoter gene polymorphism in the population of healthy Croatian pre-scholars.. PubMed. 32(3). 725–9. 8 indexed citations
18.
Pašalić, Daria, et al.. (2008). Body mass index in patients with positive or suspected coronary artery disease: a large Croatian cohort. Biochemia Medica. 321–330. 1 indexed citations
19.
Pašalić, Daria, et al.. (2004). Missense mutation W86R in exon 3 of the lipoprotein lipase gene in a boy with chylomicronemia. Clinica Chimica Acta. 343(1-2). 179–184. 11 indexed citations
20.
Pašalić, Daria, et al.. (2003). Lipoprotein Lipase Gene Polymorphisms in Croatian Patients with Coronary Artery Disease. Clinical Chemistry and Laboratory Medicine (CCLM). 41(4). 541–6. 15 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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