Vedran Katavić

89 total papers · 2.0k total citations
48 papers, 1.5k citations indexed

About

Vedran Katavić is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Vedran Katavić has authored 48 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 16 papers in Oncology and 9 papers in Immunology. Recurrent topics in Vedran Katavić's work include Bone Metabolism and Diseases (27 papers), Bone health and treatments (9 papers) and Inflammatory mediators and NSAID effects (6 papers). Vedran Katavić is often cited by papers focused on Bone Metabolism and Diseases (27 papers), Bone health and treatments (9 papers) and Inflammatory mediators and NSAID effects (6 papers). Vedran Katavić collaborates with scholars based in Croatia, United States and United Kingdom. Vedran Katavić's co-authors include Joseph Lorenzo, Héctor L. Aguila, Dora Višnjić, Žana Kalajzić, David W. Rowe, Ana Marušić, Danka Grčević, Nataša Kovačić, Ivan Krešimir Lukić and Matko Marušić and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.

In The Last Decade

Vedran Katavić

46 papers receiving 1.5k citations

Hit Papers

Hematopoiesis is severely... 2004 2026 2011 2018 2004 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Vedran Katavić 594 410 399 318 233 48 1.5k
Daniel Kraft 597 1.0× 388 0.9× 199 0.5× 471 1.5× 329 1.4× 30 1.7k
Frederick A. Fletcher 897 1.5× 632 1.5× 700 1.8× 559 1.8× 308 1.3× 34 2.0k
CD Bloomfield 667 1.1× 1.6k 3.8× 338 0.8× 222 0.7× 513 2.2× 34 2.2k
Stéphane J.C. Mancini 832 1.4× 392 1.0× 299 0.7× 709 2.2× 135 0.6× 36 1.6k
Thomas Zwingers 386 0.6× 156 0.4× 1.2k 2.9× 225 0.7× 259 1.1× 30 2.2k
Francesca Schena 438 0.7× 193 0.5× 183 0.5× 470 1.5× 418 1.8× 78 1.8k
Xenophon Yataganas 531 0.9× 700 1.7× 580 1.5× 124 0.4× 364 1.6× 75 1.5k
D Hammond 472 0.8× 557 1.4× 635 1.6× 101 0.3× 195 0.8× 48 2.3k
Stephen Yoo 509 0.9× 34 0.1× 450 1.1× 606 1.9× 86 0.4× 35 1.9k
Peter Diamond 615 1.0× 349 0.9× 409 1.0× 198 0.6× 123 0.5× 38 1.3k

Countries citing papers authored by Vedran Katavić

Since Specialization
Citations

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

Fields of papers citing papers by Vedran Katavić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vedran Katavić

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