Rafael Doležal

2.2k citations
86 papers · 1.6k indexed · h-index 25
Topics
Cholinesterase and Neurodegenerative Diseases (37 papers)Computational Drug Discovery Methods (26 papers)Pesticide Exposure and Toxicity (14 papers)
Partner nations
CzechiaSerbiaBrazil

In The Last Decade

Rafael Doležal

82 papers receiving 1.5k citations

Peers

Rafael Doležal
Comparison fields: 5 of 114
  • Pharmacology 802
  • Organic Chemistry 623
  • Computational Theory and Mathematics 497
  • Molecular Biology 411
  • Plant Science 281
Replace Vendula Šepsová with:
Vendula Šepsová Czechia
Cleydson B. R. Santos Brazil
Tiago Silva Portugal
Michela Buccioni Italy
Hay Dvir Israel
J. Love United States
Bhupinder Kumar India
Opa Vajragupta Thailand
Rosivaldo S. Borges Brazil
Angeliki P. Kourounakis Greece
Rafael Doležal relative to Vendula Šepsová Czechia Vendula Šepsová's profile →
Citations per field
00.5×
Vendula Šepsová · 1×
Citations per year

Countries citing papers authored by Rafael Doležal

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Doležal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Doležal

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Doležal. A scholar is included among the top collaborators of Rafael Doležal 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 Rafael Doležal. Rafael Doležal 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 4
2 9
3 12
4 7
5 5
6 5
7 2
8 10
9 7
10 10
11 7
12 5
13 28
14 10
15 16
16 56
17 7
18 18
19 43
20 6

About Rafael Doležal

Rafael Doležal is a scholar working on Pharmacology, Computational Theory and Mathematics and Organic Chemistry, having authored 86 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (37 papers), Computational Drug Discovery Methods (26 papers) and Pesticide Exposure and Toxicity (14 papers). The work is most often cited by research in Pharmacology (802 citations), Computational Theory and Mathematics (497 citations) and Organic Chemistry (623 citations). Rafael Doležal has collaborated with scholars based in Czechia, Serbia and Brazil. Frequent co-authors include Kamil Kuča, Jan Korábečný, Ondřej Soukup, Eugenie Nepovimová, Daniel Jun, David Maliňák, Kamil Musílek, Katarína Špilovská, Eva Mezeiová and Lukáš Górecki. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and Journal of Medicinal Chemistry.

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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