Mateja Klika Škopić

15 total papers · 482 total citations
12 papers, 322 citations indexed

About

Mateja Klika Škopić is a scholar working on Molecular Biology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mateja Klika Škopić has authored 12 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Organic Chemistry and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mateja Klika Škopić's work include Chemical Synthesis and Analysis (8 papers), Advanced biosensing and bioanalysis techniques (5 papers) and DNA and Nucleic Acid Chemistry (4 papers). Mateja Klika Škopić is often cited by papers focused on Chemical Synthesis and Analysis (8 papers), Advanced biosensing and bioanalysis techniques (5 papers) and DNA and Nucleic Acid Chemistry (4 papers). Mateja Klika Škopić collaborates with scholars based in Germany and Switzerland. Mateja Klika Škopić's co-authors include Andreas Brunschweiger, Ralf Weberskirch, Sabrina Pospich, Stefan Raunser, Verena B. K. Kunig, Marco Potowski, Bernd Wagner, Tuomo Kalliokoski, Norbert Krause and Luis Bering and has published in prestigious journals such as Journal of the American Chemical Society, Chemistry - A European Journal and Organic Letters.

In The Last Decade

Mateja Klika Škopić

11 papers receiving 313 citations

Author Peers

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

Author Last Decade Papers Cites
Mateja Klika Škopić 277 201 73 25 10 12 322
Gregory M. Husar 278 1.0× 161 0.8× 84 1.2× 20 0.8× 7 0.7× 7 337
Xiao‐Yi Xiao 271 1.0× 124 0.6× 42 0.6× 69 2.8× 10 1.0× 10 330
Gerd Hummel 276 1.0× 234 1.2× 32 0.4× 18 0.7× 5 0.5× 15 324
Adrián Gironda-Martínez 268 1.0× 179 0.9× 66 0.9× 14 0.6× 6 0.6× 10 329
Normand Hébert 185 0.7× 203 1.0× 30 0.4× 18 0.7× 14 1.4× 12 328
Frederick J. Krambeck 302 1.1× 74 0.4× 82 1.1× 34 1.4× 7 0.7× 9 353
Béatrice Ruhland 249 0.9× 269 1.3× 31 0.4× 29 1.2× 31 3.1× 9 363
Jichen Zhao 148 0.5× 311 1.5× 35 0.5× 22 0.9× 10 1.0× 6 355
Paolo A. Centrella 302 1.1× 168 0.8× 102 1.4× 18 0.7× 11 1.1× 10 361
Martin Wilkovitsch 203 0.7× 206 1.0× 120 1.6× 36 1.4× 11 1.1× 14 318

Countries citing papers authored by Mateja Klika Škopić

Since Specialization
Citations

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

Fields of papers citing papers by Mateja Klika Škopić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mateja Klika Škopić. 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 Mateja Klika Škopić. The network helps show where Mateja Klika Škopić may publish in the future.

Co-authorship network of co-authors of Mateja Klika Škopić

This figure shows the co-authorship network connecting the top 25 collaborators of Mateja Klika Škopić. A scholar is included among the top collaborators of Mateja Klika Škopić 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 Mateja Klika Škopić. Mateja Klika Škopić 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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