Paula Zaręba

505 citations
31 papers · 390 indexed · h-index 11
Topics
Cholinesterase and Neurodegenerative Diseases (14 papers)Computational Drug Discovery Methods (11 papers)Neuroscience and Neuropharmacology Research (9 papers)
Partner nations
PolandGermanySpain

In The Last Decade

Paula Zaręba

31 papers receiving 387 citations

Peers

Paula Zaręba
Comparison fields: 5 of 67
  • Pharmacology 217
  • Computational Theory and Mathematics 162
  • Molecular Biology 143
  • Organic Chemistry 103
  • Physiology 102
Replace Baichen Xiong with:
Baichen Xiong China
Krzysztof Więckowski Poland
Roberta Caporaso Italy
Martín Estrada Spain
Elena Bovina Russia
Cédric Lecoutey France
Shawn B. Jones United States
Matthias Scheiner Germany
Anupam G. Banerjee India
Arash Shakeri Canada
Paula Zaręba relative to Baichen Xiong China Baichen Xiong's profile →
Citations per field
00.5×10×15×21.5×
Baichen Xiong · 1×
Citations per year

Countries citing papers authored by Paula Zaręba

Since Specialization
Citations

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

Fields of papers citing papers by Paula Zaręba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paula Zaręba

This figure shows the co-authorship network connecting the top 25 collaborators of Paula Zaręba. A scholar is included among the top collaborators of Paula Zaręba 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 Paula Zaręba. Paula Zaręba 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 3
2 5
3 4
4 1
5 9
6 4
7 1
8 6
9 6
10 11
11 6
12 15
13 13
14 44
15 8
16 74
17 22
18 33
19 10
20 5

About Paula Zaręba

Paula Zaręba is a scholar working on Pharmacology, Computational Theory and Mathematics and Physiology, having authored 31 papers that have together received 390 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (14 papers), Computational Drug Discovery Methods (11 papers) and Neuroscience and Neuropharmacology Research (9 papers). The work is most often cited by research in Pharmacology (217 citations), Computational Theory and Mathematics (162 citations) and Biological Psychiatry (16 citations). Paula Zaręba has collaborated with scholars based in Poland, Germany and Spain. Frequent co-authors include Barbara Malawska, Justyna Godyń, Kinga Sałat, Katarzyna Kulig, Adrian Podkowa, Anna Więckowska, Monika Głuch‐Lutwin, Tomasz Wichur, Grzegorz Kazek and Agata Siwek. Their work appears in journals such as International Journal of Molecular Sciences, Molecules and European Journal of Pharmacology.

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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