A. Pískala

1.0k citations
52 papers · 747 · h-index 12

Impact in

Papers in

    • Synthesis and Characterization of Heterocyclic Compounds 33
    • Synthesis and Biological Evaluation 13
    • Synthesis and Reactions of Organic Compounds 12
    • Synthesis and biological activity 9
    • Click Chemistry and Applications 8
    • Chemical Reaction Mechanisms 6
    • DNA and Nucleic Acid Chemistry 9

A. Pískala

51 papers receiving 699 citations

Peers

A. Pískala
Comparison fields: 5 of 80
  • Organic Chemistry 285
  • Virology 40
  • Infectious Diseases 143
  • Molecular Biology 468
  • Hematology 70
Replace David R. Tortolani with:
David R. Tortolani United States
Thomas I. Kalman United States
Masakatsu Kaneko Japan
Harold H. Buskirk United States
Anita T. Shortnacy United States
Stanley D. Chamberlain United States
Bogdan Uznański Poland
Y. C. Cheng United States
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Masahiro Fuji Japan
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Citations per field
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Citations per year

Countries citing papers authored by A. Pískala

Since Specialization
Citations

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

Fields of papers citing papers by A. Pískala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside A. Pískala, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Pískala Line = papers co-authored together A. Pískala links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1964204
2 1964125
3 200763
4 196542
5 197027
6 197125
7 196120
8 200616
9 196216
10 196214
11 198313
12 196711
13
Mechanism of action of 1-beta-D-arabinofuranosyl-5-azacytosine and its effects in L1210 mouse leukemia cells.
198611
14 196510
15 197110
16 19949
17 19759
18 19659
19 19628
20 19638

About A. Pískala

A. Pískala is a scholar working on Organic Chemistry, Molecular Biology, Epidemiology, Infectious Diseases and Biochemistry, having authored 52 papers that have together received 747 indexed citations. Recurring topics across this work include Synthesis and Characterization of Heterocyclic Compounds (33 papers), Synthesis and Biological Evaluation (13 papers), Synthesis and Reactions of Organic Compounds (12 papers), Synthesis and biological activity (9 papers), DNA and Nucleic Acid Chemistry (9 papers), Click Chemistry and Applications (8 papers), Chemical Reaction Mechanisms (6 papers) and Pneumocystis jirovecii pneumonia detection and treatment (5 papers). The work is most often cited by research in Organic Chemistry (285 citations), Virology (40 citations), Infectious Diseases (143 citations), Molecular Biology (468 citations) and Hematology (70 citations). A. Pískala has collaborated with scholars based in Czechia, Slovakia and Kuwait. Frequent co-authors include F. Šorm, Jiří Veselý, A. Čihák, J. Gut, Manfred Schlosser, Josef Pitha, Milena Masojı́dková, K. F. Christmann, Ladislav Novotný and A Vachálková. Their work appears in journals such as Cellular and Molecular Life Sciences, Synthesis, Journal of Medicinal Chemistry, Pharmacological Research and Nucleic Acids Research.

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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