Josipa Kuleš

1.2k total citations
67 papers, 911 citations indexed

About

Josipa Kuleš is a scholar working on Parasitology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Josipa Kuleš has authored 67 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Parasitology, 19 papers in Molecular Biology and 14 papers in Infectious Diseases. Recurrent topics in Josipa Kuleš's work include Vector-borne infectious diseases (21 papers), Viral Infections and Vectors (13 papers) and Veterinary Equine Medical Research (7 papers). Josipa Kuleš is often cited by papers focused on Vector-borne infectious diseases (21 papers), Viral Infections and Vectors (13 papers) and Veterinary Equine Medical Research (7 papers). Josipa Kuleš collaborates with scholars based in Croatia, United Kingdom and Spain. Josipa Kuleš's co-authors include Vladimir Mrljak, Anita Horvatić, Renata Barić Rafaj, Nicolas Guillemin, P.D. Eckersall, Asier Galán, Mangesh Bhide, J. M. Castro Cerón, Blanka Beer Ljubić and Emily L. O’Reilly and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Josipa Kuleš

64 papers receiving 897 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Josipa Kuleš 272 262 222 116 103 67 911
Kenji Hikosaka 405 1.5× 239 0.9× 197 0.9× 104 0.9× 54 0.5× 60 1.2k
Mahmoud Mohamed Bahgat 575 2.1× 207 0.8× 237 1.1× 169 1.5× 68 0.7× 66 1.3k
Qing-Feng Meng 445 1.6× 146 0.6× 161 0.7× 62 0.5× 64 0.6× 58 904
Stephen Mbigha Ghogomu 132 0.5× 444 1.7× 477 2.1× 153 1.3× 47 0.5× 61 1.1k
Jack M. Gallup 90 0.3× 283 1.1× 425 1.9× 203 1.8× 75 0.7× 61 1.7k
Ken‐ichi Amano 182 0.7× 233 0.9× 178 0.8× 79 0.7× 17 0.2× 41 1.1k
MG Collett 252 0.9× 135 0.5× 141 0.6× 30 0.3× 100 1.0× 64 943
Vladimir Mrljak 885 3.3× 377 1.4× 689 3.1× 308 2.7× 137 1.3× 137 1.9k
Jianmei Yang 213 0.8× 206 0.8× 243 1.1× 107 0.9× 186 1.8× 63 843
Valentina Iovane 67 0.2× 162 0.6× 197 0.9× 62 0.5× 91 0.9× 55 744

Countries citing papers authored by Josipa Kuleš

Since Specialization
Citations

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

Fields of papers citing papers by Josipa Kuleš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Josipa Kuleš

This figure shows the co-authorship network connecting the top 25 collaborators of Josipa Kuleš. A scholar is included among the top collaborators of Josipa Kuleš 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 Josipa Kuleš. Josipa Kuleš 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.
Kuleš, Josipa, et al.. (2025). Proteomic analysis emphasizes the adaptation of energy metabolism in horses during endurance races. BMC Veterinary Research. 21(1). 67–67.
2.
Kuleš, Josipa, et al.. (2024). A Comprehensive Multi-Omics Study of Serum Alterations in Red Deer Infected by the Liver Fluke Fascioloides magna. Pathogens. 13(11). 922–922. 1 indexed citations
3.
Šmit, Iva, et al.. (2024). Current application of proteomics in the veterinary field – a short summary and literature review. Veterinarska stanica. 56(2). 245–256.
4.
Maslov, Dina Rešetar, Josipa Kuleš, Blanka Beer Ljubić, et al.. (2023). Serum Proteomic Profiles Reflect the Stages of Myxomatous Mitral Valve Disease in Dogs. International Journal of Molecular Sciences. 24(8). 7142–7142. 7 indexed citations
5.
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
6.
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
7.
Muñoz-Prieto, Alberto, María Dolores Contreras-Aguilar, J. M. Castro Cerón, et al.. (2022). Changes in Proteins in Saliva and Serum in Equine Gastric Ulcer Syndrome Using a Proteomic Approach. Animals. 12(9). 1169–1169. 18 indexed citations
8.
Martins, Cátia F., David M. Ribeiro, Manólis Matzapetákis, et al.. (2022). Effect of dietary Spirulina (Arthrospira platensis) on the intestinal function of post-weaned piglet: An approach combining proteomics, metabolomics and histological studies. Journal of Proteomics. 269. 104726–104726. 5 indexed citations
9.
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
11.
Kuleš, Josipa, Laura Tomassone, Hans‐Peter Fuehrer, et al.. (2017). The Challenges and Advances in Diagnosis of Vector-Borne Diseases: Where Do We Stand?. Vector-Borne and Zoonotic Diseases. 17(5). 285–296. 13 indexed citations
12.
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
13.
Galán, Asier, Anita Horvatić, Josipa Kuleš, et al.. (2016). Library-based display technologies: where do we stand?. Molecular BioSystems. 12(8). 2342–2358. 87 indexed citations
14.
Horvatić, Anita, Josipa Kuleš, Nicolas Guillemin, et al.. (2016). High-throughput proteomics and the fight against pathogens. Molecular BioSystems. 12(8). 2373–2384. 10 indexed citations
15.
Kuleš, Josipa, Anita Horvatić, Nicolas Guillemin, et al.. (2016). New approaches and omics tools for mining of vaccine candidates against vector-borne diseases. Molecular BioSystems. 12(9). 2680–2694. 24 indexed citations
16.
Guillemin, Nicolas, Anita Horvatić, Josipa Kuleš, et al.. (2016). Omics approaches to probe markers of disease resistance in animal sciences. Molecular BioSystems. 12(7). 2036–2046. 9 indexed citations
17.
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
18.
Kučer, Nada, et al.. (2013). Mineral concentrations in plasma of young and adult red deer. Veterinarski arhiv. 83(4). 425–434. 8 indexed citations
19.
Rafaj, Renata Barić, Josipa Kuleš, Nada Vrkić, et al.. (2013). Markers of Coagulation Activation, Endothelial Stimulation, and Inflammation in Dogs with Babesiosis. Journal of Veterinary Internal Medicine. 27(5). 1172–1178. 39 indexed citations
20.
Rafaj, Renata Barić, et al.. (2010). Erythrocyte and platelet indices in babesiosis of dogs. Veterinarski arhiv. 80(2). 259–267. 19 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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