Petr Beneš

4.5k total citations · 1 hit paper
110 papers, 3.4k citations indexed

About

Petr Beneš is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Petr Beneš has authored 110 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 22 papers in Cancer Research and 19 papers in Oncology. Recurrent topics in Petr Beneš's work include Hormonal and reproductive studies (11 papers), Enzyme function and inhibition (9 papers) and Protease and Inhibitor Mechanisms (8 papers). Petr Beneš is often cited by papers focused on Hormonal and reproductive studies (11 papers), Enzyme function and inhibition (9 papers) and Protease and Inhibitor Mechanisms (8 papers). Petr Beneš collaborates with scholars based in Czechia, Germany and United States. Petr Beneš's co-authors include Václav Větvička, Martin Fusek, Jiří­ Sochor, Petr Medek, Jan Šmarda, Jan Brezovský, Jiřı́ Damborský, Barbora Kozlíková, Ondřej Strnad and Antonín Pavelka and has published in prestigious journals such as Bioinformatics, Analytical Chemistry and Oncogene.

In The Last Decade

Petr Beneš

106 papers receiving 3.3k citations

Hit Papers

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

Peers

Petr Beneš
Comparison fields: 5 of 147
  • Molecular Biology 1.8k
  • Oncology 430
  • Cancer Research 350
  • Biomedical Engineering 293
  • Physiology 279
Replace Kyung‐Sook Chung with:
Kyung‐Sook Chung South Korea
Jurek Dobrucki Poland
Daniela M. Tomazela Brazil
Jia Jia China
Antonio Pineda‐Lucena Spain
Marc Goethals Belgium
Andrew R. Pitt United Kingdom
Tae‐Hoon Lee South Korea
Hao Liu China
Bin Ye China
Kyung‐Sook Chung South Korea View profile →
Citations per field, relative to Petr Beneš
Petr Beneš · 1×
Citations per year, relative to Petr Beneš
Petr Beneš · 1×

Countries citing papers authored by Petr Beneš

Since Specialization
Citations

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

Fields of papers citing papers by Petr Beneš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petr Beneš

This figure shows the co-authorship network connecting the top 25 collaborators of Petr Beneš. A scholar is included among the top collaborators of Petr Beneš 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 Petr Beneš. Petr Beneš is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 4
3 4
4 12
5 5
6 8
7 25
8
Computation of Dynamic Channels in Proteins
1
9
Inhibition of topoisomerase IIa: Novel function ofwedelolactone
1
10 57
11
Metastazující karcinom ledviny - současné možnosti léčby
0
12 7
13 1
14
Computation of tunnels in protein molecules using Delaunay triangulation
51
15 2
16
Inhibition of procathepsin D stops human cancer growth
1
17 15
18 75
19 20
20 47

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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