Vuk Kujacic

24 total papers · 610 total citations
18 papers, 492 citations indexed

About

Vuk Kujacic is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Vuk Kujacic has authored 18 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Molecular Biology. Recurrent topics in Vuk Kujacic's work include Cardiovascular Function and Risk Factors (11 papers), Cardiac Imaging and Diagnostics (6 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). Vuk Kujacic is often cited by papers focused on Cardiovascular Function and Risk Factors (11 papers), Cardiac Imaging and Diagnostics (6 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). Vuk Kujacic collaborates with scholars based in Sweden, Serbia and Germany. Vuk Kujacic's co-authors include Entela Bollano, Jörgen Isgaard, Elmir Ömerovic, Finn Waagstein, Thomas Hedner, Xiang Sun, Michael Fu, B. Soussi, Kenneth Caidahl and Basetti Madhu and has published in prestigious journals such as Journal of the American College of Cardiology, Biochemical and Biophysical Research Communications and Endocrinology.

In The Last Decade

Vuk Kujacic

17 papers receiving 481 citations

Author Peers

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

Author						Papers	Cites
Vuk Kujacic	262	165	133	106	100	18	492
Ellen N. Tommasi	242 0.9×	115 0.7×	100 0.8×	41 0.4×	56 0.6×	16	520
Robert E. Tainsh	126 0.5×	172 1.0×	65 0.5×	17 0.2×	64 0.6×	14	465
Tuula Tikkanen	287 1.1×	96 0.6×	86 0.6×	23 0.2×	157 1.6×	23	500
Mieke van den Heuvel	225 0.9×	108 0.7×	132 1.0×	66 0.6×	62 0.6×	26	493
T. Shiraishi	99 0.4×	101 0.6×	72 0.5×	22 0.2×	67 0.7×	20	420
Esben Stistrup Lauritzen	130 0.5×	204 1.2×	42 0.3×	79 0.7×	68 0.7×	16	540
Yoko Yamane	254 1.0×	53 0.3×	113 0.8×	15 0.1×	42 0.4×	27	481
Riitta Parkkola	153 0.6×	143 0.9×	44 0.3×	25 0.2×	202 2.0×	16	550
Mikihiro Nakayama	111 0.4×	167 1.0×	113 0.8×	32 0.3×	55 0.6×	16	416
U Keller	197 0.8×	85 0.5×	290 2.2×	29 0.3×	52 0.5×	32	524

Countries citing papers authored by Vuk Kujacic

Since Specialization

Citations

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

Fields of papers citing papers by Vuk Kujacic

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vuk Kujacic

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