Aavo Aaviksaar

712 citations
37 papers · 565 indexed · h-index 15
Topics
Cholinesterase and Neurodegenerative Diseases (13 papers)Computational Drug Discovery Methods (6 papers)Enzyme Catalysis and Immobilization (6 papers)
Partner nations
EstoniaGermanyCzechia

In The Last Decade

Aavo Aaviksaar

35 papers receiving 543 citations

Peers

Aavo Aaviksaar
Comparison fields: 5 of 71
  • Molecular Biology 328
  • Pharmacology 227
  • Computational Theory and Mathematics 157
  • Organic Chemistry 154
  • Plant Science 63
Replace Xulin Pan with:
Xulin Pan China
Gregory S. Welmaker United States
Sevim Dalkara Türkiye
Bao Cheng China
Pavel Bobáľ Czechia
Melissa D’Ascenzio Italy
Raghuram Rao Akkinepally India
Andrea Defant Italy
Youchao Deng China
Н. И. Комарова Russia
Aavo Aaviksaar relative to Xulin Pan China Xulin Pan's profile →
Citations per field
00.5×5.2×
Xulin Pan · 1×
Citations per year

Countries citing papers authored by Aavo Aaviksaar

Since Specialization
Citations

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

Fields of papers citing papers by Aavo Aaviksaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aavo Aaviksaar

This figure shows the co-authorship network connecting the top 25 collaborators of Aavo Aaviksaar. A scholar is included among the top collaborators of Aavo Aaviksaar 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 Aavo Aaviksaar. Aavo Aaviksaar 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 15
2 9
3 7
4 24
5 13
6 38
7 9
8 14
9 0
10 1
11 2
12 2
13 7
14 16
15 7
16 4
17 17
18 4
19 15
20 0

About Aavo Aaviksaar

Aavo Aaviksaar is a scholar working on Pharmacology, Computational Theory and Mathematics and Molecular Biology, having authored 37 papers that have together received 565 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (13 papers), Computational Drug Discovery Methods (6 papers) and Enzyme Catalysis and Immobilization (6 papers). The work is most often cited by research in Pharmacology (227 citations), Computational Theory and Mathematics (157 citations) and Geriatrics and Gerontology (25 citations). Aavo Aaviksaar has collaborated with scholars based in Estonia, Germany and Czechia. Frequent co-authors include Hans‐Dieter Jakubke, R. Raba, Matthias Schuster, Ferdinand Hucho, Jaak Järv, Hans‐Jürgen Kreienkamp, Christoph Weise, Tönu Kesvatera, Vello Tõugu and Jindřich Kopeček. Their work appears in journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Biochemical Journal.

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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