S. Vuk‐Pavlović

26 total papers · 626 total citations
21 papers, 466 citations indexed

About

S. Vuk‐Pavlović is a scholar working on Molecular Biology, Oncology and Modeling and Simulation. According to data from OpenAlex, S. Vuk‐Pavlović has authored 21 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Modeling and Simulation. Recurrent topics in S. Vuk‐Pavlović's work include Metabolism, Diabetes, and Cancer (6 papers), Mathematical Biology Tumor Growth (4 papers) and Neuroendocrine Tumor Research Advances (3 papers). S. Vuk‐Pavlović is often cited by papers focused on Metabolism, Diabetes, and Cancer (6 papers), Mathematical Biology Tumor Growth (4 papers) and Neuroendocrine Tumor Research Advances (3 papers). S. Vuk‐Pavlović collaborates with scholars based in United States, Croatia and Slovenia. S. Vuk‐Pavlović's co-authors include Ž. Bajzer, Matko Marušić, James P. Freyer, Krešimir Pavelić, Allan B. Dietz, Thomas W. Burke, Yoav Blatt, Doron Lancet, C.P.J. Glaudemans and Israel Pecht and has published in prestigious journals such as Journal of Biological Chemistry, Blood and JNCI Journal of the National Cancer Institute.

In The Last Decade

S. Vuk‐Pavlović

21 papers receiving 439 citations

Author Peers

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

Author Last Decade Papers Cites
S. Vuk‐Pavlović 203 154 87 83 73 21 466
Parastou Foroutan 246 1.2× 93 0.6× 120 1.4× 27 0.3× 32 0.4× 12 544
Jonathan Tang 263 1.3× 51 0.3× 80 0.9× 16 0.2× 50 0.7× 20 513
Clare Lamont 141 0.7× 210 1.4× 144 1.7× 31 0.4× 37 0.5× 8 502
Seth Michelson 184 0.9× 122 0.8× 119 1.4× 19 0.2× 34 0.5× 37 459
B. Maurer‐Schultze 188 0.9× 21 0.1× 82 0.9× 31 0.4× 21 0.3× 38 417
S Michelson 170 0.8× 191 1.2× 148 1.7× 17 0.2× 51 0.7× 29 409
Sabine Dormann 152 0.7× 162 1.1× 77 0.9× 38 0.5× 113 1.5× 13 430
Richard J. Sové 138 0.7× 85 0.6× 173 2.0× 101 1.2× 13 0.2× 17 434
T. R. Munro 143 0.7× 34 0.2× 56 0.6× 28 0.3× 33 0.5× 25 542
Chandler Gatenbee 234 1.2× 89 0.6× 135 1.6× 143 1.7× 26 0.4× 16 536

Countries citing papers authored by S. Vuk‐Pavlović

Since Specialization
Citations

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

Fields of papers citing papers by S. Vuk‐Pavlović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Vuk‐Pavlović

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