Aleksandr Peet

4.3k total citations
32 papers, 611 citations indexed

About

Aleksandr Peet is a scholar working on Genetics, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Aleksandr Peet has authored 32 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 12 papers in Surgery and 12 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Aleksandr Peet's work include Diabetes and associated disorders (15 papers), Pancreatic function and diabetes (11 papers) and Diabetes Management and Research (8 papers). Aleksandr Peet is often cited by papers focused on Diabetes and associated disorders (15 papers), Pancreatic function and diabetes (11 papers) and Diabetes Management and Research (8 papers). Aleksandr Peet collaborates with scholars based in Estonia, Finland and United States. Aleksandr Peet's co-authors include Vallo Tillmann, Mikael Knip, Jorma Ilonen, Raivo Uibo, Heli Siljander, Taina Härkönen, Kristi Alnek, Kaire Heilman, Kalle Kisand and Tommi Vatanen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Aleksandr Peet

29 papers receiving 588 citations

Peers

Aleksandr Peet
Comparison fields: 5 of 80
  • Genetics 237
  • Molecular Biology 197
  • Endocrinology, Diabetes and Metabolism 126
  • Infectious Diseases 121
  • Immunology 110
Replace Tiffany Poon with:
Tiffany Poon United States
Kaisa Kemppainen Finland
Victoria Pascal France
Valentina Curigliano Italy
Sofia D’Elios Italy
A. S. Cunha Brazil
Anita Kondrashova Finland
Rafal S. Sobota United States
Hanna Honkanen Finland
Mina Bashir Austria
Tiffany Poon United States View profile →
Citations per field, relative to Aleksandr Peet
Aleksandr Peet · 1×
Citations per year, relative to Aleksandr Peet
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Countries citing papers authored by Aleksandr Peet

Since Specialization
Citations

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

Fields of papers citing papers by Aleksandr Peet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksandr Peet

This figure shows the co-authorship network connecting the top 25 collaborators of Aleksandr Peet. A scholar is included among the top collaborators of Aleksandr Peet 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 Aleksandr Peet. Aleksandr Peet 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 0
2 8
3
European Training Requirements for Competency in Paediatric Endocrinology and Diabetes 2021
0
4 3
5 1
6 4
7 15
8 17
9 5
10 44
11
The Prevalence of Clinically Significant Anti-TPO Positivity in Children with HLA-Conferred Susceptibility to Type 1 Diabetes
1
12 12
13 212
14 11
15 75
16 0
17 15
18 7
19 2
20 7

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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