Jakub Jończyk

1.4k citations
41 papers · 1.1k indexed · 1 hit paper · h-index 17
Topics
Computational Drug Discovery Methods (27 papers)Cholinesterase and Neurodegenerative Diseases (26 papers)Alzheimer's disease research and treatments (9 papers)
Partner nations
PolandCzechiaSlovenia

In The Last Decade

Jakub Jończyk

36 papers receiving 1.1k citations

Hit Papers

Therapeutic strategies for Alzheimer's disease in clinica...20152026201820222015100200300

Peers

Jakub Jończyk
Comparison fields: 5 of 92
  • Pharmacology 576
  • Computational Theory and Mathematics 414
  • Molecular Biology 373
  • Physiology 336
  • Organic Chemistry 336
Replace Justyna Godyń with:
Justyna Godyń Poland
Elena Simoni Italy
Dawid Panek Poland
Pavan Srivastava India
Piyoosh Sharma India
Tarek Mohamed Canada
Ankit Seth India
Irene Bolea Spain
Prabhash Nath Tripathi India
Nasimul Hoda India
Jakub Jończyk relative to Justyna Godyń Poland Justyna Godyń's profile →
Citations per field
00.5×1.5×
Justyna Godyń · 1×
Citations per year

Countries citing papers authored by Jakub Jończyk

Since Specialization
Citations

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

Fields of papers citing papers by Jakub Jończyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakub Jończyk

This figure shows the co-authorship network connecting the top 25 collaborators of Jakub Jończyk. A scholar is included among the top collaborators of Jakub Jończyk 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 Jakub Jończyk. Jakub Jończyk 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 0
3 0
4 4
5 1
6 3
7 12
8 7
9 16
10 15
11 6
12 15
13 14
14 12
15 45
16 35
17 49
18 17
19 16
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About Jakub Jończyk

Jakub Jończyk is a scholar working on Computational Theory and Mathematics, Pharmacology and Biological Psychiatry, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (27 papers), Cholinesterase and Neurodegenerative Diseases (26 papers) and Alzheimer's disease research and treatments (9 papers). The work is most often cited by research in Pharmacology (576 citations), Computational Theory and Mathematics (414 citations) and Physiology (336 citations). Jakub Jończyk has collaborated with scholars based in Poland, Czechia and Slovenia. Frequent co-authors include Barbara Malawska, Justyna Godyń, Dawid Panek, Marek Bajda, Anna Więckowska, Stanislav Gobec, Damijan Knez, Tomasz Wichur, Anna Pasieka and Muhammad Yar. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and Molecules.

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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