Tomasz Wichur

512 citations
14 papers · 427 indexed · h-index 10
Topics
Cholinesterase and Neurodegenerative Diseases (13 papers)Computational Drug Discovery Methods (12 papers)Alzheimer's disease research and treatments (8 papers)
Partner nations
PolandSloveniaSpain

In The Last Decade

Tomasz Wichur

14 papers receiving 419 citations

Peers

Tomasz Wichur
Comparison fields: 5 of 43
  • Pharmacology 339
  • Computational Theory and Mathematics 249
  • Organic Chemistry 164
  • Molecular Biology 130
  • Physiology 126
Replace Cédric Lecoutey with:
Cédric Lecoutey France
Luisa Ceccarini Italy
Qing Song China
Qihang Li China
Roberta Farina Italy
Mohamed Benchekroun France
Digambar Kumar Waiker India
Lucie Drtinová Czechia
Paola Usán Spain
Anna Pasieka Poland
Tomasz Wichur relative to Cédric Lecoutey France Cédric Lecoutey's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tomasz Wichur

Since Specialization
Citations

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

Fields of papers citing papers by Tomasz Wichur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomasz Wichur

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 5
2 4
3 7
4 21
5 19
6 15
7 45
8 44
9 49
10 29
11 29
12 74
13 82
14
[Multifunctional ligands--a new approach in the search for drugs against multi-factorial diseases].
4

About Tomasz Wichur

Tomasz Wichur is a scholar working on Pharmacology, Computational Theory and Mathematics and Physiology, having authored 14 papers that have together received 427 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (13 papers), Computational Drug Discovery Methods (12 papers) and Alzheimer's disease research and treatments (8 papers). The work is most often cited by research in Pharmacology (339 citations), Computational Theory and Mathematics (249 citations) and Organic Chemistry (164 citations). Tomasz Wichur has collaborated with scholars based in Poland, Slovenia and Spain. Frequent co-authors include Barbara Malawska, Justyna Godyń, Anna Więckowska, Dawid Panek, Damijan Knez, Stanislav Gobec, Anna Pasieka, Jakub Jończyk, Marek Bajda and Ondřej Soukup. Their work appears in journals such as International Journal of Molecular Sciences, Molecules and European 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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