S. Vuk‐Pavlović

628 citations
21 papers · 466 indexed · h-index 12
Topics
Metabolism, Diabetes, and Cancer (6 papers)Mathematical Biology Tumor Growth (4 papers)Neuroendocrine Tumor Research Advances (3 papers)

In The Last Decade

S. Vuk‐Pavlović

21 papers receiving 439 citations

Peers

S. Vuk‐Pavlović
Comparison fields: 5 of 84
  • Molecular Biology 203
  • Modeling and Simulation 154
  • Oncology 87
  • Immunology 83
  • Cell Biology 73
Replace N. R. Hartmann with:
N. R. Hartmann Germany
Danielle L. Peacock United States
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Citations per field
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Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1
Maturation of human dendritic cells as sulfasalazine target.
10
2 71
3 149
4 11
5
Modeling hormone-dependent cell-cell interactions in tumor growth: A simulation study
2
6
Quantitative aspects of autocrine regulation in tumors.
12
7 41
8 4
9
Quantitation of autocrine regulation of tumor growth: a general phenomenological model.
1
10 3
11 3
12 14
13 1
14 17
15 3
16 16
17 14
18
Retarded growth of murine tumors in vivo by insulin- and glucagon-stimulated immunity and phagocytosis.
6
19 21
20 17

About S. Vuk‐Pavlović

S. Vuk‐Pavlović is a scholar working on Modeling and Simulation, Cancer Research and Oncology, having authored 21 papers that have together received 466 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (6 papers), Mathematical Biology Tumor Growth (4 papers) and Neuroendocrine Tumor Research Advances (3 papers). The work is most often cited by research in Modeling and Simulation (154 citations), Cancer Research (68 citations) and Cell Biology (73 citations). S. Vuk‐Pavlović has collaborated with scholars based in United States, Croatia and Slovenia. Frequent co-authors include Ž. Bajzer, Matko Marušić, James P. Freyer, Allan B. Dietz, Krešimir Pavelić, Thomas W. Burke, C.P.J. Glaudemans, Israel Pecht, Yoav Blatt and Doron Lancet. Their work appears in journals such as Journal of Biological Chemistry, Blood and JNCI Journal of the National Cancer Institute.

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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