Tina Blažević

13 total papers · 785 total citations
9 papers, 645 citations indexed

About

Tina Blažević is a scholar working on Molecular Biology, Organic Chemistry and Plant Science. According to data from OpenAlex, Tina Blažević has authored 9 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Organic Chemistry and 3 papers in Plant Science. Recurrent topics in Tina Blažević's work include Quinazolinone synthesis and applications (3 papers), Synthesis and Reactions of Organic Compounds (2 papers) and Traditional Chinese Medicine Analysis (2 papers). Tina Blažević is often cited by papers focused on Quinazolinone synthesis and applications (3 papers), Synthesis and Reactions of Organic Compounds (2 papers) and Traditional Chinese Medicine Analysis (2 papers). Tina Blažević collaborates with scholars based in Austria, Germany and China. Tina Blažević's co-authors include Elke H. Heiß, Verena M. Dirsch, Atanas G. Atanasov, Birgit Waltenberger, Hermann Stuppner, Stefan Schwaiger, Eva‐Maria Pferschy‐Wenzig, Judith M. Rollinger, Xin Liu and Clemens Malainer and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemical Pharmacology.

In The Last Decade

Tina Blažević

9 papers receiving 633 citations

Hit Papers

Natural product agonists ... 2014 2026 2018 2022 2014 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Tina Blažević 338 109 89 82 73 9 645
Sreepoorna Pramodh 270 0.8× 97 0.9× 47 0.5× 38 0.5× 81 1.1× 10 741
Guanzhong Wu 367 1.1× 76 0.7× 153 1.7× 84 1.0× 56 0.8× 24 741
Hongmei Jiang 357 1.1× 109 1.0× 108 1.2× 106 1.3× 66 0.9× 22 780
Danja J. Den Hartogh 274 0.8× 130 1.2× 146 1.6× 71 0.9× 71 1.0× 11 696
Christopher Weidner 425 1.3× 93 0.9× 102 1.1× 60 0.7× 91 1.2× 18 751
Ilaria Scognamiglio 223 0.7× 85 0.8× 45 0.5× 82 1.0× 49 0.7× 11 635
Amanda M. Gonzales 233 0.7× 195 1.8× 59 0.7× 110 1.3× 68 0.9× 13 664
Prahalathan Pichavaram 274 0.8× 91 0.8× 78 0.9× 81 1.0× 51 0.7× 26 684
Chia-Yu Lin 305 0.9× 127 1.2× 100 1.1× 91 1.1× 69 0.9× 16 723
Filip Vlavcheski 243 0.7× 164 1.5× 126 1.4× 84 1.0× 40 0.5× 18 595

Countries citing papers authored by Tina Blažević

Since Specialization
Citations

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

Fields of papers citing papers by Tina Blažević

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Blažević

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