Renata Barić Rafaj

831 total citations
47 papers, 596 citations indexed

About

Renata Barić Rafaj is a scholar working on Parasitology, Infectious Diseases and Small Animals. According to data from OpenAlex, Renata Barić Rafaj has authored 47 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Parasitology, 11 papers in Infectious Diseases and 9 papers in Small Animals. Recurrent topics in Renata Barić Rafaj's work include Vector-borne infectious diseases (22 papers), Viral Infections and Vectors (11 papers) and Rabies epidemiology and control (8 papers). Renata Barić Rafaj is often cited by papers focused on Vector-borne infectious diseases (22 papers), Viral Infections and Vectors (11 papers) and Rabies epidemiology and control (8 papers). Renata Barić Rafaj collaborates with scholars based in Croatia, Spain and United Kingdom. Renata Barić Rafaj's co-authors include Vladimir Mrljak, Josipa Kuleš, Vesna Matijatko, Nada Kučer, Marin Torti, J. M. Castro Cerón, Ivana Kiš, Richard Burchmore, P.D. Eckersall and Đuro Huber and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Renata Barić Rafaj

45 papers receiving 566 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renata Barić Rafaj Croatia 15 319 224 112 105 76 47 596
Vesna Matijatko Croatia 12 379 1.2× 277 1.2× 140 1.3× 122 1.2× 30 0.4× 39 596
Ahmet Kalkan Türkiye 19 207 0.6× 401 1.8× 161 1.4× 231 2.2× 82 1.1× 49 918
Aongart Mahittikorn Thailand 17 605 1.9× 253 1.1× 203 1.8× 30 0.3× 46 0.6× 77 858
Serdar Paşa Türkiye 13 292 0.9× 203 0.9× 181 1.6× 81 0.8× 20 0.3× 49 514
Deepak Sumbria India 12 183 0.6× 147 0.7× 40 0.4× 139 1.3× 69 0.9× 37 444
Marin Torti Croatia 8 251 0.8× 199 0.9× 66 0.6× 98 0.9× 27 0.4× 25 344
Richard E. Goldstein United States 15 814 2.6× 509 2.3× 139 1.2× 166 1.6× 84 1.1× 20 1.1k
Donald H. Marks United States 12 339 1.1× 409 1.8× 116 1.0× 121 1.2× 112 1.5× 29 854
Nada Kučer Croatia 10 225 0.7× 155 0.7× 68 0.6× 59 0.6× 22 0.3× 27 349
Zafer Çetınkaya Türkiye 16 186 0.6× 194 0.9× 89 0.8× 34 0.3× 80 1.1× 61 746

Countries citing papers authored by Renata Barić Rafaj

Since Specialization
Citations

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

Fields of papers citing papers by Renata Barić Rafaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renata Barić Rafaj. 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 Renata Barić Rafaj. The network helps show where Renata Barić Rafaj may publish in the future.

Co-authorship network of co-authors of Renata Barić Rafaj

This figure shows the co-authorship network connecting the top 25 collaborators of Renata Barić Rafaj. A scholar is included among the top collaborators of Renata Barić Rafaj 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 Renata Barić Rafaj. Renata Barić Rafaj 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.
Weidt, Stefan K., Richard Burchmore, Alan Kovačević, et al.. (2023). Metabolome Profiling in the Plasma of Dogs with Idiopathic Dilated Cardiomyopathy: A Multiplatform Mass-Spectrometry-Based Approach. International Journal of Molecular Sciences. 24(20). 15182–15182. 1 indexed citations
2.
Kuleš, Josipa, Renata Barić Rafaj, Richard Burchmore, et al.. (2023). Serum proteome profiling of naturally acquired Babesia rossi infection in dogs. Scientific Reports. 13(1). 10249–10249. 2 indexed citations
3.
Kuleš, Josipa, Blanka Beer Ljubić, Renata Barić Rafaj, et al.. (2021). Combined Untargeted and Targeted Metabolomics Approaches Reveal Urinary Changes of Amino Acids and Energy Metabolism in Canine Babesiosis With Different Levels of Kidney Function. Frontiers in Microbiology. 12. 715701–715701. 14 indexed citations
4.
Rafaj, Renata Barić, et al.. (2019). Metabolic disorders and inflammation in obese dogs, cats, horses and cattle. Veterinarska stanica. 50(5). 481–494.
5.
Kučer, Nada, et al.. (2018). Markers of inflammation and fibrinolysis in canine lymphoma. Veterinarski arhiv. 88(6). 787–806. 2 indexed citations
6.
Mrljak, Vladimir, Josipa Kuleš, Željko Mihaljević, et al.. (2017). Prevalence and Geographic Distribution of Vector-Borne Pathogens in Apparently Healthy Dogs in Croatia. Vector-Borne and Zoonotic Diseases. 17(6). 398–408. 50 indexed citations
7.
Rafaj, Renata Barić, Josipa Kuleš, A. Marinculić, et al.. (2016). Plasma markers of inflammation and hemostatic and endothelial activity in naturally overweight and obese dogs. BMC Veterinary Research. 13(1). 13–13. 21 indexed citations
8.
Bendelja, Krešo, et al.. (2015). Serum levels of the chemokines keratinocyte chemoattractant and interleukin-8 in dogs naturally infected with Babesia canis canis. Veterinarski arhiv. 85(4). 369–383. 3 indexed citations
9.
Kuleš, Josipa, et al.. (2015). Arterial blood acidbase and electrolyte values in dogs: conventional and “strong ion” approach.. Veterinarski arhiv. 85(5). 533–545. 5 indexed citations
10.
Rossi, Gabriele, Josipa Kuleš, Renata Barić Rafaj, et al.. (2014). Relationship between paraoxonase 1 activity and high density lipoprotein concentration during naturally occurring babesiosis in dogs. Research in Veterinary Science. 97(2). 318–324. 15 indexed citations
11.
Kučer, Nada, et al.. (2013). Mineral concentrations in plasma of young and adult red deer. Veterinarski arhiv. 83(4). 425–434. 8 indexed citations
12.
Rafaj, Renata Barić, et al.. (2011). Haematological and biochemical values of farmed red deer (Cervus elaphus).. Veterinarski arhiv. 81(4). 513–523. 13 indexed citations
13.
Matijatko, Vesna, et al.. (2010). Systemic inflammatory response syndrome and multiple organ dysfunction syndrome in canine babesiosis. Veterinarski arhiv. 80(5). 611–626. 15 indexed citations
14.
Rafaj, Renata Barić, et al.. (2010). Erythrocyte and platelet indices in babesiosis of dogs. Veterinarski arhiv. 80(2). 259–267. 19 indexed citations
15.
Kučer, Nada, et al.. (2008). White blood cell count and neutrophil to lymphocyte ratio in uncomplicated and complicated canine babesiosis caused by Babesia canis canis. Veterinarski arhiv. 78(4). 321–330. 10 indexed citations
16.
Rafaj, Renata Barić, et al.. (2007). Protein C activity in babesiosis of dogs. Veterinarski arhiv. 77(1). 1–8. 9 indexed citations
17.
Rafaj, Renata Barić, et al.. (2005). Nombre de plaquettes et volume moyen plaquettaire dans la babésiose du chien. Revue Méd Vét. 156(2). 95–98. 7 indexed citations
18.
Mrljak, Vladimir, et al.. (2005). Antithrombin III in healthy dogs and in dogs suffering from babesiosis.. Veterinarski arhiv. 75(6). 477–486. 4 indexed citations
19.
Rafaj, Renata Barić, et al.. (2001). Activation of Hageman factor in dogs with babesiosis. Revue Méd Vét. 152(7). 545–547. 1 indexed citations
20.
Slavica, Alen, et al.. (2000). Biochemical blood analysis of the fallow deer (Dama dama L.) from the Brijuni islands, Croatia.. Veterinarski arhiv. 70. 193–199. 5 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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