Markéta Benková

821 citations
22 papers · 518 indexed · h-index 12
Topics
Antimicrobial agents and applications (7 papers)Computational Drug Discovery Methods (6 papers)Cholinesterase and Neurodegenerative Diseases (6 papers)
Partner nations
CzechiaSloveniaSlovakia

In The Last Decade

Markéta Benková

22 papers receiving 512 citations

Peers

Markéta Benková
Comparison fields: 5 of 93
  • Organic Chemistry 164
  • Molecular Biology 151
  • Pharmacology 149
  • Computational Theory and Mathematics 78
  • Plant Science 62
Replace Clarissa Amorim Silva de Cordova with:
Clarissa Amorim Silva de Cordova Brazil
Shazia Khan Pakistan
David A Yurek United States
Xiang‐Qian Liu China
Ray Silva de Almeida Brazil
Chrisna Gouws South Africa
Luís Pereira-de-Morais Brazil
Prachi Anand United States
Lalit D. Kagliwal India
Markéta Benková relative to Clarissa Amorim Silva de Cordova Brazil Clarissa Amorim Silva de Cordova's profile →
Citations per field
00.5×6.5×
Clarissa Amorim Silva de Cordova · 1×
Citations per year

Countries citing papers authored by Markéta Benková

Since Specialization
Citations

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

Fields of papers citing papers by Markéta Benková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markéta Benková

This figure shows the co-authorship network connecting the top 25 collaborators of Markéta Benková. A scholar is included among the top collaborators of Markéta Benková 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 Markéta Benková. Markéta Benková 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
#WorkIndexed citations
1 2
2 19
3 4
4 5
5 28
6 17
7 30
8 8
9 134
10 9
11 18
12 10
13 44
14 16
15 53
16 9
17 29
18 3
19 23
20 9

About Markéta Benková

Markéta Benková is a scholar working on Environmental Chemistry, Computational Theory and Mathematics and Pharmacology, having authored 22 papers that have together received 518 indexed citations. Recurring topics across this work include Antimicrobial agents and applications (7 papers), Computational Drug Discovery Methods (6 papers) and Cholinesterase and Neurodegenerative Diseases (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (20 citations), Pharmacology (149 citations) and Molecular Medicine (42 citations). Markéta Benková has collaborated with scholars based in Czechia, Slovenia and Slovakia. Frequent co-authors include Jan Marek, Ondřej Soukup, Ondřej Soukup, Rafael Doležal, Kamil Kuča, Lukáš Prchal, David Maliňák, Jan Korábečný, Kamil Musílek and Ondřej Benek. Their work appears in journals such as Analytical Chemistry, Journal of Medicinal Chemistry and Molecules.

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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