Rafał Kurczab

1.8k citations
89 papers · 1.4k indexed · h-index 23
Topics
Computational Drug Discovery Methods (30 papers)Receptor Mechanisms and Signaling (27 papers)Synthesis and Biological Evaluation (20 papers)
Partner nations
PolandFranceGermany

In The Last Decade

Rafał Kurczab

86 papers receiving 1.3k citations

Peers

Rafał Kurczab
Comparison fields: 5 of 129
  • Molecular Biology 739
  • Organic Chemistry 460
  • Computational Theory and Mathematics 384
  • Cellular and Molecular Neuroscience 199
  • Pharmacology 154
Replace Cristiano R. W. Guimarães with:
Cristiano R. W. Guimarães United States
Wolfgang Guba Switzerland
Anders Hogner Sweden
María‐Jesús Blanco United States
Sarel F. Malan South Africa
Scott P. Brown United States
Salvatore Guccione Italy
Daquan Gao United States
J. Kelder Netherlands
Lewis D. Pennington United States
Rafał Kurczab relative to Cristiano R. W. Guimarães United States Cristiano R. W. Guimarães's profile →
Citations per field
00.5×1.5×2.4×
Cristiano R. W. Guimarães · 1×
Citations per year

Countries citing papers authored by Rafał Kurczab

Since Specialization
Citations

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

Fields of papers citing papers by Rafał Kurczab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafał Kurczab

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

All Works

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About Rafał Kurczab

Rafał Kurczab is a scholar working on Computational Theory and Mathematics, Physical and Theoretical Chemistry and Organic Chemistry, having authored 89 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (30 papers), Receptor Mechanisms and Signaling (27 papers) and Synthesis and Biological Evaluation (20 papers). The work is most often cited by research in Computational Theory and Mathematics (384 citations), Organic Chemistry (460 citations) and Physical and Theoretical Chemistry (131 citations). Rafał Kurczab has collaborated with scholars based in Poland, France and Germany. Frequent co-authors include Andrzej J. Bojarski, Grzegorz Satała, Paweł Zajdel, Paweł Śliwa, Mariusz P. Mitoraj, Artur Michalak, Vittorio Canale, Tom Ziegler, Anna Wesołowska and Anna Partyka. 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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