Sonja Perkov

476 total citations
29 papers, 340 citations indexed

About

Sonja Perkov is a scholar working on Agronomy and Crop Science, Physiology and Small Animals. According to data from OpenAlex, Sonja Perkov has authored 29 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Agronomy and Crop Science, 4 papers in Physiology and 3 papers in Small Animals. Recurrent topics in Sonja Perkov's work include Reproductive Physiology in Livestock (6 papers), Ruminant Nutrition and Digestive Physiology (5 papers) and Quality and Safety in Healthcare (3 papers). Sonja Perkov is often cited by papers focused on Reproductive Physiology in Livestock (6 papers), Ruminant Nutrition and Digestive Physiology (5 papers) and Quality and Safety in Healthcare (3 papers). Sonja Perkov collaborates with scholars based in Croatia, Slovenia and United States. Sonja Perkov's co-authors include Zlata Flegar-Meštrić, Ingrid Prkačin, Petra Zrimšek, Janko Mrkun, Ruth Turk, Ana Šavuk, Romana Turk, Neven Žarković, Luka Andrišić and Franz Tatzber and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinica Chimica Acta and Nephrology Dialysis Transplantation.

In The Last Decade

Sonja Perkov

25 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sonja Perkov Croatia 11 105 75 58 57 37 29 340
Surender Singh India 12 81 0.8× 134 1.8× 105 1.8× 27 0.5× 7 0.2× 49 582
José J. Zaragoza Mexico 9 68 0.6× 78 1.0× 50 0.9× 5 0.1× 4 0.1× 22 455
C Wittenberg Israel 11 23 0.2× 60 0.8× 25 0.4× 40 0.7× 91 2.5× 22 307
Dalia Marčiulionytė Lithuania 8 10 0.1× 46 0.6× 29 0.5× 14 0.2× 12 0.3× 16 385
Parker Ra United States 10 17 0.2× 161 2.1× 9 0.2× 16 0.3× 17 0.5× 20 445
Weilu Zhang China 9 28 0.3× 57 0.8× 25 0.4× 10 0.2× 10 0.3× 21 301
Edson da Silva Brazil 7 22 0.2× 180 2.4× 26 0.4× 31 0.5× 2 0.1× 36 349
M. Tietze Poland 6 39 0.4× 69 0.9× 32 0.6× 6 0.1× 1 0.0× 11 389
L. Ari Jutkowitz United States 12 23 0.2× 5 0.1× 25 0.4× 16 0.3× 3 0.1× 16 427
J Hrusková Czechia 10 6 0.1× 108 1.4× 59 1.0× 12 0.2× 6 0.2× 36 328

Countries citing papers authored by Sonja Perkov

Since Specialization
Citations

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

Fields of papers citing papers by Sonja Perkov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonja Perkov

This figure shows the co-authorship network connecting the top 25 collaborators of Sonja Perkov. A scholar is included among the top collaborators of Sonja Perkov 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 Sonja Perkov. Sonja Perkov 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.
Mikuš, Tomislav, et al.. (2021). The influence of season and age on the levels of lipids, lipoproteins and enzymes in the serum of Lička pramenka sheep. Veterinarski arhiv. 91(1). 31–37. 1 indexed citations
2.
Turk, Romana, Silvijo Vince, Sonja Perkov, et al.. (2020). The influence of heat stress on energy metabolism in Simmental dairy cows during the periparturient period. Veterinarski arhiv. 90(1). 1–10. 5 indexed citations
3.
Samardžija, Marko, Dražen Đuričić, Silvijo Vince, et al.. (2019). Effects of in-feed clinoptilolite treatment on serum metabolic and antioxidative biomarkers and acute phase response in dairy cows during pregnancy and early lactation. Research in Veterinary Science. 127. 57–64. 23 indexed citations
4.
Đuričić, Dražen, Ivona Žura Žaja, Silvijo Vince, et al.. (2019). http://vetarhiv.vef.unizg.hr/papers/2019-89-4-1.pdf. Veterinarski arhiv. 89(4). 447–463. 5 indexed citations
5.
Perkov, Sonja, et al.. (2018). Significance of automation in standardization of qualitative urinalysis. Biochemia Medica. 156. 1 indexed citations
6.
Prkačin, Ingrid, et al.. (2018). URINE CONCENTRATIONS OF HIGH-SENSITIVITY CARDIAC TROPONIN I IN HEALTHY ADULTS – PRELIMINARY REFERENCE INTERVALS. Hrčak Portal of scientific journals of Croatia (University Computing Centre). 72(4). 461–465. 9 indexed citations
7.
Samardžija, Marko, Dražen Đuričić, Silvijo Vince, et al.. (2018). Paraoxonase-1 activity and lipid profile in dairy cows with subclinical and clinical mastitis. Journal of Applied Animal Research. 47(1). 1–4. 19 indexed citations
8.
Šavuk, Ana, et al.. (2018). SP565PILOT STUDY OF TROPONIN T AND TROPONIN I CONCENTRATION STABILITY IN DIALYSATE OF ANURIC PATIENTS ON HEMODIALYSIS. Nephrology Dialysis Transplantation. 33(suppl_1). i538–i538. 1 indexed citations
9.
Mrzljak, Anna, et al.. (2017). Seroprevalence of hepatitis E virus among liver transplant patients in Croatia: preliminary pilot study data. 1 indexed citations
10.
Flegar-Meštrić, Zlata, et al.. (2016). Standardization in laboratory medicine: Adoption of common reference intervals to the Croatian population. World Journal of Methodology. 6(1). 93–93. 4 indexed citations
11.
Flegar-Meštrić, Zlata, et al.. (2013). Accreditation of medical biochemistry laboratories in Croatia and its role in improving patient safety.. 42(4). 94–102. 1 indexed citations
12.
13.
Turk, Ruth, Janko Mrkun, M. Kosec, et al.. (2013). Lipid mobilisation and oxidative stress as metabolic adaptation processes in dairy heifers during transition period. Animal Reproduction Science. 141(3-4). 109–115. 42 indexed citations
14.
Flegar-Meštrić, Zlata, et al.. (2012). Trace elements and oxidative stress in hypertensive disorders of pregnancy. Archives of Gynecology and Obstetrics. 287(1). 19–24. 40 indexed citations
15.
Turk, Romana, Josipa Habuš, Zlata Flegar-Meštrić, et al.. (2011). Serum platelet-activating factor acetylhydrolase and paraoxonase-1 activity in horses infected with Leptospira spp. Acta Tropica. 118(2). 97–100. 13 indexed citations
16.
Flegar-Meštrić, Zlata, et al.. (2009). The impact of an electronic information system on clinical laboratory efficiency and prevention of identification errors. 1 indexed citations
17.
Flegar-Meštrić, Zlata, et al.. (2007). C-Reactive Protein Level in Severe Stenosis of Cerebral Arteries. Cerebrovascular Diseases. 23(5-6). 430–434. 10 indexed citations
18.
Flegar-Meštrić, Zlata & Sonja Perkov. (2006). Comparability of point-of-care whole-blood electrolyte and substrate testing using a Stat Profile Critical Care Xpress analyzer and standard laboratory methods. Clinical Chemistry and Laboratory Medicine (CCLM). 44(7). 898–903. 22 indexed citations
19.
Flegar-Meštrić, Zlata, et al.. (2005). Ciljevi analitičke kvalitete u vanjskoj procjeni kvalitete rada medicinsko-biokemijskih laborastorija u republici Hrvatskoj. Biochemia Medica. 15. 15–25. 1 indexed citations
20.
Flegar-Meštrić, Zlata, et al.. (2002). Biochemical risk factors in angiographically established stenosis of cerebral arteries.. PubMed. 43(6). 696–701. 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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