Artur Góra

85 total papers · 2.9k total citations
46 papers, 2.1k citations indexed

About

Artur Góra is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Artur Góra has authored 46 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 18 papers in Materials Chemistry and 8 papers in Computational Theory and Mathematics. Recurrent topics in Artur Góra's work include Protein Structure and Dynamics (13 papers), Enzyme Structure and Function (10 papers) and Computational Drug Discovery Methods (8 papers). Artur Góra is often cited by papers focused on Protein Structure and Dynamics (13 papers), Enzyme Structure and Function (10 papers) and Computational Drug Discovery Methods (8 papers). Artur Góra collaborates with scholars based in Poland, Czechia and United Kingdom. Artur Góra's co-authors include Jiřı́ Damborský, Jan Brezovský, Eva Chovancová, Lada Biedermannová, Antonín Pavelka, Vilém Šustr, Petr Beneš, Ondřej Strnad, Barbora Kozlíková and Jiří­ Sochor and has published in prestigious journals such as Chemical Reviews, Journal of Biological Chemistry and The Journal of Chemical Physics.

In The Last Decade

Artur Góra

45 papers receiving 2.1k citations

Hit Papers

CAVER 3.0: A Tool for the... 2012 2026 2016 2021 2012 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Artur Góra 1.4k 454 295 189 165 46 2.1k
Antonín Pavelka 1.8k 1.3× 384 0.8× 202 0.7× 143 0.8× 153 0.9× 15 2.5k
Dong Hae Shin 1.8k 1.3× 250 0.6× 400 1.4× 161 0.9× 102 0.6× 96 3.1k
Lada Biedermannová 1.2k 0.9× 298 0.7× 221 0.7× 244 1.3× 163 1.0× 24 1.7k
Koen H. G. Verschueren 2.3k 1.6× 602 1.3× 238 0.8× 198 1.0× 142 0.9× 22 3.3k
Pramod C. Nair 1.2k 0.9× 309 0.7× 318 1.1× 433 2.3× 179 1.1× 47 2.5k
Lars Ridder 1.4k 1.0× 347 0.8× 338 1.1× 249 1.3× 373 2.3× 45 2.3k
Faez Iqbal Khan 1.5k 1.1× 158 0.3× 399 1.4× 324 1.7× 97 0.6× 85 2.5k
Nuno M. F. S. A. Cerqueira 1.5k 1.1× 393 0.9× 321 1.1× 489 2.6× 69 0.4× 93 2.9k
Art E. Cho 1.4k 1.0× 305 0.7× 529 1.8× 529 2.8× 162 1.0× 66 2.6k
Prashant Desai 1.1k 0.8× 242 0.5× 571 1.9× 393 2.1× 116 0.7× 93 3.1k

Countries citing papers authored by Artur Góra

Since Specialization
Citations

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

Fields of papers citing papers by Artur Góra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Artur Góra

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