Petra Eskelin

1.4k total citations
13 papers, 930 citations indexed

About

Petra Eskelin is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Molecular Biology. According to data from OpenAlex, Petra Eskelin has authored 13 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Petra Eskelin's work include Adrenal Hormones and Disorders (10 papers), Hormonal Regulation and Hypertension (8 papers) and Diabetes and associated disorders (5 papers). Petra Eskelin is often cited by papers focused on Adrenal Hormones and Disorders (10 papers), Hormonal Regulation and Hypertension (8 papers) and Diabetes and associated disorders (5 papers). Petra Eskelin collaborates with scholars based in Finland, Norway and Sweden. Petra Eskelin's co-authors include Maria Halonen, Eystein S. Husebye, Jaakko Perheentupa, Ismo Ulmanen, Olle Kämpe, Fredrik Rorsman, Pärt Peterson, Anthony Meager, Nick Willcox and Leena Peltonen and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, PLoS Medicine and The Journal of Pediatrics.

In The Last Decade

Petra Eskelin

13 papers receiving 914 citations

Peers

Petra Eskelin
Comparison fields: 5 of 50
  • Endocrinology, Diabetes and Metabolism 700
  • Genetics 444
  • Immunology 346
  • Neurology 130
  • Molecular Biology 61
Replace M Gylling with:
M Gylling Finland
Anne Grethe Myhre Norway
J. Braun Germany
C. Betterle Italy
Michèle Fonfrède France
K. H. Usadel Germany
Hanna J. Lee United States
A N Gorsuch United Kingdom
Kari Lima Norway
Akira Hoshioka Japan
M Gylling Finland View profile →
Citations per field, relative to Petra Eskelin
Petra Eskelin · 1×
Citations per year, relative to Petra Eskelin
Petra Eskelin · 1×

Countries citing papers authored by Petra Eskelin

Since Specialization
Citations

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

Fields of papers citing papers by Petra Eskelin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petra Eskelin

This figure shows the co-authorship network connecting the top 25 collaborators of Petra Eskelin. A scholar is included among the top collaborators of Petra Eskelin 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 Petra Eskelin. Petra Eskelin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 3
2 8
3 30
4 1
5 273
6 42
7 25
8 89
9 153
10 136
11 89
12 14
13 67

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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2026