Dawid Warszycki

472 citations
30 papers · 353 indexed · h-index 13
Topics
Computational Drug Discovery Methods (15 papers)Receptor Mechanisms and Signaling (10 papers)Chemical Synthesis and Analysis (6 papers)
Partner nations
PolandFranceNorway

In The Last Decade

Dawid Warszycki

29 papers receiving 349 citations

Peers

Dawid Warszycki
Comparison fields: 5 of 76
  • Molecular Biology 186
  • Computational Theory and Mathematics 113
  • Organic Chemistry 111
  • Cellular and Molecular Neuroscience 44
  • Pharmacology 32
Replace Francesca Perruccio with:
Francesca Perruccio United Kingdom
Alexander Hillebrecht Germany
Stefan Gahbauer United States
Maria Voigt United States
Dominique Sydow Germany
Constantine Kreatsoulas United States
Stacey R. Lindsley United States
Christophe Bovigny Switzerland
Ugo Perricone Italy
Andrey A. Ivashchenko Russia
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Citations per field
00.5×1.6×
Francesca Perruccio · 1×
Citations per year

Countries citing papers authored by Dawid Warszycki

Since Specialization
Citations

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

Fields of papers citing papers by Dawid Warszycki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dawid Warszycki

This figure shows the co-authorship network connecting the top 25 collaborators of Dawid Warszycki. A scholar is included among the top collaborators of Dawid Warszycki 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 Dawid Warszycki. Dawid Warszycki 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 0
2 2
3 3
4 10
5 20
6 8
7 12
8 3
9 31
10 11
11 12
12 25
13 20
14 2
15 17
16 16
17 13
18 3
19 8
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About Dawid Warszycki

Dawid Warszycki is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Biophysics, having authored 30 papers that have together received 353 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Receptor Mechanisms and Signaling (10 papers) and Chemical Synthesis and Analysis (6 papers). The work is most often cited by research in Computational Theory and Mathematics (113 citations), Organic Chemistry (111 citations) and Pharmacology (32 citations). Dawid Warszycki has collaborated with scholars based in Poland, France and Norway. Frequent co-authors include Andrzej J. Bojarski, Stefan Mordalski, Marek Śmieja, Grzegorz Satała, Ingebrigt Sylte, Jakub Staroń, Rafał Kurczab, Adam S. Hogendorf, Luigi A. Agrofoglio and Kurt Kristiansen. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

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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