Maarit Heino

3.2k total citations · 1 hit paper
13 papers, 2.2k citations indexed

About

Maarit Heino is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Immunology. According to data from OpenAlex, Maarit Heino has authored 13 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Genetics and 4 papers in Immunology. Recurrent topics in Maarit Heino's work include Adrenal Hormones and Disorders (10 papers), Hormonal Regulation and Hypertension (5 papers) and Diabetes and associated disorders (4 papers). Maarit Heino is often cited by papers focused on Adrenal Hormones and Disorders (10 papers), Hormonal Regulation and Hypertension (5 papers) and Diabetes and associated disorders (4 papers). Maarit Heino collaborates with scholars based in Finland, Switzerland and Japan. Maarit Heino's co-authors include Kai Krohn, Pärt Peterson, Stylianos E. Antonarakis, Hamish S. Scott, Jun Kudoh, Kentaro Nagamine, Nobuyoshi Shimizu, Satoshi Minoshima, Maria D. Lalioti and Kazuhiko Kawasaki and has published in prestigious journals such as Nature Genetics, Biochemical and Biophysical Research Communications and European Journal of Immunology.

In The Last Decade

Maarit Heino

13 papers receiving 2.1k citations

Hit Papers

Positional cloning of the APECED gene 1997 2026 2006 2016 1997 250 500 750

Peers

Maarit Heino
Comparison fields: 5 of 80
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Genetics 960
  • Immunology 893
  • Molecular Biology 377
  • Neurology 170
Replace Johanna Aaltonen with:
Johanna Aaltonen Finland
Petra Björses Finland
Emily S. Venanzi United States
Nina Horelli‐Kuitunen Finland
J. M. Heward United Kingdom
R. Finke Germany
Erlinda Concepcion United States
Jens Derbinski Germany
Yaron Tomer United States
A.M. McGregor United Kingdom
Johanna Aaltonen Finland View profile →
Citations per field, relative to Maarit Heino
Maarit Heino · 1×
Citations per year, relative to Maarit Heino
Maarit Heino · 1×

Countries citing papers authored by Maarit Heino

Since Specialization
Citations

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

Fields of papers citing papers by Maarit Heino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maarit Heino

This figure shows the co-authorship network connecting the top 25 collaborators of Maarit Heino. A scholar is included among the top collaborators of Maarit Heino 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 Maarit Heino. Maarit Heino 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 62
2 99
3 217
4 144
5 85
6 55
7 227
8 23
9 77
10 177
11 7
12
Positional cloning of the APECED gene breakdown →
999
13 29

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