Danka Savić

63 total papers · 470 total citations
29 papers, 352 citations indexed

About

Danka Savić is a scholar working on Behavioral Neuroscience, Clinical Psychology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Danka Savić has authored 29 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Behavioral Neuroscience, 6 papers in Clinical Psychology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Danka Savić's work include Stress Responses and Cortisol (12 papers), Hormonal Regulation and Hypertension (4 papers) and Circadian rhythm and melatonin (4 papers). Danka Savić is often cited by papers focused on Stress Responses and Cortisol (12 papers), Hormonal Regulation and Hypertension (4 papers) and Circadian rhythm and melatonin (4 papers). Danka Savić collaborates with scholars based in Serbia, United Kingdom and Spain. Danka Savić's co-authors include Goran Knežević, Goran Opačić, Svetozar Damjanović, Gordana Matić, Milena Čukić, Vesna Kutlesic, D Djerić, Miloš Ljubisavljević, S Simić and Stefan Priebe and has published in prestigious journals such as Annals of the New York Academy of Sciences, Psychological Medicine and Journal of Affective Disorders.

In The Last Decade

Danka Savić

28 papers receiving 334 citations

Author Peers

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

Author Last Decade Papers Cites
Danka Savić 117 99 55 55 43 29 352
Mitsue Nagamine 134 1.1× 76 0.8× 56 1.0× 43 0.8× 33 0.8× 19 299
Shizuko Okamoto 177 1.5× 86 0.9× 29 0.5× 67 1.2× 73 1.7× 15 355
J.L. Rausch 122 1.0× 90 0.9× 95 1.7× 73 1.3× 44 1.0× 22 384
Neus Salvat‐Pujol 99 0.8× 98 1.0× 50 0.9× 58 1.1× 88 2.0× 24 330
Yifu Ji 51 0.4× 116 1.2× 99 1.8× 70 1.3× 29 0.7× 18 366
Hanna Kische 74 0.6× 71 0.7× 26 0.5× 64 1.2× 26 0.6× 34 370
Yumiko Kawamoto 66 0.6× 114 1.2× 52 0.9× 73 1.3× 58 1.3× 16 365
Marco Zanasi 81 0.7× 51 0.5× 84 1.5× 70 1.3× 112 2.6× 27 374
Bo Zhou 45 0.4× 88 0.9× 87 1.6× 107 1.9× 44 1.0× 43 380
Valentina Zonca 115 1.0× 85 0.9× 26 0.5× 47 0.9× 124 2.9× 20 309

Countries citing papers authored by Danka Savić

Since Specialization
Citations

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

Fields of papers citing papers by Danka Savić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danka Savić

This figure shows the co-authorship network connecting the top 25 collaborators of Danka Savić. A scholar is included among the top collaborators of Danka 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 Danka Savić. Danka 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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