Countries citing papers authored by Branislava Belić
Since
Specialization
Citations
This map shows the geographic impact of Branislava Belić'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 Branislava Belić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Branislava Belić more than expected).
Fields of papers citing papers by Branislava Belić
This network shows the impact of papers produced by Branislava Belić. 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 Branislava Belić. The network helps show where Branislava Belić may publish in the future.
Co-authorship network of co-authors of Branislava Belić
This figure shows the co-authorship network connecting the top 25 collaborators of Branislava Belić.
A scholar is included among the top collaborators of Branislava Belić 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 Branislava Belić. Branislava Belić is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cincović, Marko, et al.. (2021). Influence of niacin application on inflammatory parameters, non-esterified fatty acids and functional status of liver in cows during early lactation. Large animals review. 27(1). 17–21.2 indexed citations
Belić, Branislava, et al.. (2020). Metabolic adaptation in first week after calving and early prediction of ketosis type I and II in dairy cows. Large animals review. 26(2). 51–55.4 indexed citations
Cincović, Marko, et al.. (2018). Variations in milk production based on the temperature-humidity index and blood metabolic parameters in cows during exposure to heat stress. Animal Science Papers and Reports. 36(4).1 indexed citations
Dosković, Vladimir, et al.. (2017). Estimation of insulin resistance in healthy and ketotic cows during an intravenous glucose tolerance test. Veterinar – Repository of the Faculty of Veterinary Medicine, University of Belgrade (University of Belgrade, Faculty of Veterinary Medicine).6 indexed citations
13.
Kovačević, Zorana, et al.. (2016). Influence of ketoprofen application on lipid mobilization, ketogenesis and metabolic status in cows during early lactation.. Kafkas Universitesi Veteriner Fakultesi Dergisi. 22(1). 7–12.4 indexed citations
14.
Cincović, Marko, et al.. (2016). Effects of Iron Administration Method on Anemia Prevention and Production Performance of Piglets. ACTA SCIENTIAE VETERINARIAE. 44. 1–8.7 indexed citations
Djoković, Radojica, et al.. (2015). Relationship between blood metabolic hormones, metabolites and energy balance in Simmental dairy cows during peripartum period and lactation.. Pakistan Veterinary Journal. 35(2). 163–167.14 indexed citations
17.
Potkonjak, Aleksandar, et al.. (2012). Efficiency investigation into different therapeutic protocols in treating digital dermatitis in dairy cows.. Veterinarski arhiv. 82(2). 133–142.3 indexed citations
18.
Belić, Branislava, et al.. (2011). Metabolic changes and mammary uptake of metabolites in milk in heat stressed cows. SHILAP Revista de lepidopterología.3 indexed citations
19.
Cincović, Marko, et al.. (2010). Heat stress of dairy cows - etiopathogenesis and prevention.. Агрознање. 11(1). 99–105.1 indexed citations
20.
Belić, Branislava, et al.. (2002). [Distribution of HLA class II antigens and allele linkage disequilibrium in the population of Vojvodina].. PubMed. 54(5-6). 224–8.
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.