Mila Savić

72 total papers · 454 total citations
40 papers, 335 citations indexed

About

Mila Savić is a scholar working on Genetics, Animal Science and Zoology and Food Science. According to data from OpenAlex, Mila Savić has authored 40 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 10 papers in Animal Science and Zoology and 7 papers in Food Science. Recurrent topics in Mila Savić's work include Meat and Animal Product Quality (8 papers), Genetic and phenotypic traits in livestock (6 papers) and Reproductive Biology and Fertility (3 papers). Mila Savić is often cited by papers focused on Meat and Animal Product Quality (8 papers), Genetic and phenotypic traits in livestock (6 papers) and Reproductive Biology and Fertility (3 papers). Mila Savić collaborates with scholars based in Serbia, Hungary and United States. Mila Savić's co-authors include Jana Radaković, Katarina Batalović, Miodrag Mitrić, Z. Rakočević, C.M. Rangel, Nenad Bundaleski, Nadica D. Abazović, J. Belošević–Čavor, Zsolt Becskei and Davide Corpillo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical Chemistry Chemical Physics and International Journal of Hydrogen Energy.

In The Last Decade

Mila Savić

37 papers receiving 322 citations

Author Peers

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

Author Last Decade Papers Cites
Mila Savić 76 73 56 56 54 40 335
Haiyong Guo 88 1.2× 59 0.8× 14 0.3× 65 1.2× 43 0.8× 29 326
Zhizhong Hu 64 0.8× 146 2.0× 66 1.2× 15 0.3× 24 0.4× 27 400
Subramanian Muthukumar 168 2.2× 41 0.6× 22 0.4× 7 0.1× 25 0.5× 32 362
Amanda Marília da Silva Sant’Ana 115 1.5× 43 0.6× 34 0.6× 34 0.6× 20 0.4× 25 369
Baiyu Wang 78 1.0× 45 0.6× 78 1.4× 22 0.4× 82 1.5× 40 324
Han Wang 135 1.8× 29 0.4× 57 1.0× 13 0.2× 26 0.5× 35 350
S. K. Nayak 71 0.9× 91 1.2× 80 1.4× 99 1.8× 32 0.6× 30 403
Da Hye Park 106 1.4× 81 1.1× 18 0.3× 7 0.1× 79 1.5× 33 338
Mohamed El‐Sherbiny 50 0.7× 13 0.2× 72 1.3× 13 0.2× 69 1.3× 29 383
Yujie Gong 136 1.8× 34 0.5× 38 0.7× 5 0.1× 16 0.3× 38 391

Countries citing papers authored by Mila Savić

Since Specialization
Citations

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

Fields of papers citing papers by Mila Savić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mila Savić

This figure shows the co-authorship network connecting the top 25 collaborators of Mila Savić. A scholar is included among the top collaborators of Mila Savić 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 Mila Savić. Mila Savić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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