P. Pekkarinen

1.1k citations
13 papers · 681 indexed · h-index 9
Topics
Genetics and Neurodevelopmental Disorders (5 papers)Genomics and Rare Diseases (3 papers)Genomic variations and chromosomal abnormalities (3 papers)

In The Last Decade

P. Pekkarinen

12 papers receiving 645 citations

Peers

P. Pekkarinen
Comparison fields: 5 of 79
  • Immunology 261
  • Neurology 213
  • Molecular Biology 195
  • Genetics 190
  • Physiology 66
Replace Milena Laure‐Kamionowska with:
Milena Laure‐Kamionowska Poland
B Schmidt-Sidor Poland
Elizabeth Umeda United States
Steven A. Hoffman United States
Marika Bianchi Italy
Pamela Esposito United States
Tsukasa Koyama Japan
Yumiko Nishikawa Japan
Kaori Sudo Japan
Ma Teresa Miras‐Portugal Spain
P. Pekkarinen relative to Milena Laure‐Kamionowska Poland Milena Laure‐Kamionowska's profile →
Citations per field
00.5×2.5×
Milena Laure‐Kamionowska · 1×
Citations per year

Countries citing papers authored by P. Pekkarinen

Since Specialization
Citations

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

Fields of papers citing papers by P. Pekkarinen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Pekkarinen

This figure shows the co-authorship network connecting the top 25 collaborators of P. Pekkarinen. A scholar is included among the top collaborators of P. Pekkarinen 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 P. Pekkarinen. P. Pekkarinen 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
#WorkIndexed citations
1
Opposite gene by environment interactions in Karelia for CD14 and CC16 SNPs and allergy
0
2 16
3 36
4 363
5 19
6 32
7 4
8 100
9 86
10 1
11
Evidence for a susceptibility locus for manic-depressive disorder in Xq26
5
12 10
13 9

About P. Pekkarinen

P. Pekkarinen is a scholar working on Biological Psychiatry, Genetics and Endocrine and Autonomic Systems, having authored 13 papers that have together received 681 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (5 papers), Genomics and Rare Diseases (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). The work is most often cited by research in Neurology (213 citations), Immunology (261 citations) and Biological Psychiatry (23 citations). P. Pekkarinen has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Leena Peltonen, Marjo Kestilä, Panu Hakola, Juha Paloneva, Jaakko Aaltonen, Lewis L. Lanier, Jouko Lönnqvist, Joseph H. Phillips, Antti Salminen and Alexander B. H. Bakker. Their work appears in journals such as Nature Genetics, Genome Research and The American Journal of Human Genetics.

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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