Eva Fadrná

19 total papers · 513 total citations
11 papers, 448 citations indexed

About

Eva Fadrná is a scholar working on Molecular Biology, Mechanics of Materials and Genetics. According to data from OpenAlex, Eva Fadrná has authored 11 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Mechanics of Materials and 1 paper in Genetics. Recurrent topics in Eva Fadrná's work include DNA and Nucleic Acid Chemistry (10 papers), Protein Structure and Dynamics (6 papers) and RNA and protein synthesis mechanisms (6 papers). Eva Fadrná is often cited by papers focused on DNA and Nucleic Acid Chemistry (10 papers), Protein Structure and Dynamics (6 papers) and RNA and protein synthesis mechanisms (6 papers). Eva Fadrná collaborates with scholars based in Czechia, United States and Switzerland. Eva Fadrná's co-authors include Jaroslav Koča, Jiřı́ Šponer, Thomas E. Cheatham, Nad’a Špačková, Richard Štefl, Tadeusz Kuliński, Joanna Sarzyńska, Imre Berger, Modesto Orozco and Eric Ennifar and has published in prestigious journals such as The Journal of Physical Chemistry B, Biophysical Journal and Journal of Chemical Theory and Computation.

In The Last Decade

Eva Fadrná

11 papers receiving 445 citations

Author Peers

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

Author Last Decade Papers Cites
Eva Fadrná 418 42 30 21 18 11 448
Richard A. Cunha 450 1.1× 47 1.1× 63 2.1× 37 1.8× 44 2.4× 9 549
David Winogradoff 337 0.8× 40 1.0× 50 1.7× 12 0.6× 21 1.2× 11 429
D S Kang 442 1.1× 50 1.2× 23 0.8× 43 2.0× 11 0.6× 9 474
Maja Mihajlovic 389 0.9× 24 0.6× 25 0.8× 10 0.5× 23 1.3× 15 533
Suvrajit Maji 249 0.6× 46 1.1× 40 1.3× 22 1.0× 23 1.3× 14 458
Ilona Christy Unarta 347 0.8× 31 0.7× 65 2.2× 15 0.7× 30 1.7× 26 449
Marek Havrila 437 1.0× 59 1.4× 26 0.9× 16 0.8× 16 0.9× 12 463
Adam M. R. de Graff 339 0.8× 47 1.1× 90 3.0× 16 0.8× 23 1.3× 10 505
Sweta Vangaveti 470 1.1× 17 0.4× 23 0.8× 15 0.7× 29 1.6× 27 536
Peter Stohler 356 0.9× 23 0.5× 21 0.7× 10 0.5× 7 0.4× 7 442

Countries citing papers authored by Eva Fadrná

Since Specialization
Citations

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

Fields of papers citing papers by Eva Fadrná

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Fadrná

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