Tamara Šmerdová

10 total papers · 699 total citations
5 papers, 600 citations indexed

About

Tamara Šmerdová is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Tamara Šmerdová has authored 5 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Surgery. Recurrent topics in Tamara Šmerdová's work include Cancer-related molecular mechanisms research (2 papers), MicroRNA in disease regulation (2 papers) and Circular RNAs in diseases (2 papers). Tamara Šmerdová is often cited by papers focused on Cancer-related molecular mechanisms research (2 papers), MicroRNA in disease regulation (2 papers) and Circular RNAs in diseases (2 papers). Tamara Šmerdová collaborates with scholars based in Czechia. Tamara Šmerdová's co-authors include Marek Svoboda, Rostislav Vyzula, Markéta Bednaříková, Rudolf Nenutil, Dana Knoflíčková, Pavel Fabián, Ondřej Slabý, Jana Růžičková, Ingrid Garajová and Milana Šachlová and has published in prestigious journals such as European Journal of Cancer, Oncology and European Journal of Cancer Supplements.

In The Last Decade

Tamara Šmerdová

5 papers receiving 588 citations

Hit Papers

Altered Expression of miR... 2007 2026 2013 2019 2007 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
Tamara Šmerdová 525 521 42 23 20 5 600
Dana Knoflíčková 562 1.1× 531 1.0× 62 1.5× 21 0.9× 19 0.9× 7 645
J. Chen 410 0.8× 407 0.8× 60 1.4× 24 1.0× 28 1.4× 6 537
Zhenjun Zhao 639 1.2× 481 0.9× 49 1.2× 22 1.0× 24 1.2× 10 687
Nora Bandi 393 0.7× 382 0.7× 32 0.8× 45 2.0× 18 0.9× 4 500
Marcel Klingenberg 541 1.0× 503 1.0× 33 0.8× 28 1.2× 18 0.9× 5 626
Lesley Dossey 567 1.1× 497 1.0× 51 1.2× 17 0.7× 16 0.8× 4 658
Jingnan Pi 627 1.2× 387 0.7× 51 1.2× 26 1.1× 9 0.5× 5 664
Christopher Daige 589 1.1× 521 1.0× 29 0.7× 12 0.5× 15 0.8× 5 676
Kouichi Kinoshita 494 0.9× 410 0.8× 60 1.4× 56 2.4× 16 0.8× 5 568
C-G Liu 507 1.0× 473 0.9× 37 0.9× 15 0.7× 30 1.5× 7 657

Countries citing papers authored by Tamara Šmerdová

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Šmerdová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara Šmerdová

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