Maja Katalinić

1.2k total citations
47 papers, 995 citations indexed

About

Maja Katalinić is a scholar working on Pharmacology, Plant Science and Computational Theory and Mathematics. According to data from OpenAlex, Maja Katalinić has authored 47 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Pharmacology, 30 papers in Plant Science and 16 papers in Computational Theory and Mathematics. Recurrent topics in Maja Katalinić's work include Cholinesterase and Neurodegenerative Diseases (32 papers), Pesticide Exposure and Toxicity (30 papers) and Computational Drug Discovery Methods (16 papers). Maja Katalinić is often cited by papers focused on Cholinesterase and Neurodegenerative Diseases (32 papers), Pesticide Exposure and Toxicity (30 papers) and Computational Drug Discovery Methods (16 papers). Maja Katalinić collaborates with scholars based in Croatia, Czechia and Slovenia. Maja Katalinić's co-authors include Zrinka Kovarik, Goran Šinko, Nikolina Maček Hrvat, Dubravko Jelić, Gordana Rusak, Roberto Antolović, Tamara Zorbaz, Kamil Kuča, Kamil Musílek and Palmer Taylor and has published in prestigious journals such as Journal of Biological Chemistry, International Journal of Molecular Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Maja Katalinić

44 papers receiving 983 citations

Peers

Maja Katalinić
Comparison fields: 5 of 76
  • Pharmacology 681
  • Plant Science 645
  • Computational Theory and Mathematics 221
  • Organic Chemistry 190
  • Health, Toxicology and Mutagenesis 181
Replace E. Carletti with:
E. Carletti France
Anita Bosak Croatia
Martina Hrabinová Czechia
Mesut Işık Türkiye
Zrinka Kovarik Croatia
Marie-Thérèse Froment France
Paul W. Elsinghorst Germany
Howard W. Chambers United States
Annarita Meneguz Italy
Ľubica Múčková Czechia
E. Carletti France View profile →
Citations per field, relative to Maja Katalinić
Maja Katalinić · 1×
Citations per year, relative to Maja Katalinić
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Countries citing papers authored by Maja Katalinić

Since Specialization
Citations

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

Fields of papers citing papers by Maja Katalinić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Katalinić

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Katalinić. A scholar is included among the top collaborators of Maja Katalinić 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 Maja Katalinić. Maja Katalinić 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
# Work Indexed citations
1 3
2 0
3 0
4 1
5 1
6 7
7 9
8 2
9 11
10 2
11 4
12 7
13 30
14 29
15 10
16 3
17 56
18 27
19
Flavonoids as inhibitors of human butyrylcholinesterase variants
15
20 68

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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