Pia Soronen

1.5k total citations
20 papers, 994 citations indexed

About

Pia Soronen is a scholar working on Genetics, Psychiatry and Mental health and Experimental and Cognitive Psychology. According to data from OpenAlex, Pia Soronen has authored 20 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 6 papers in Psychiatry and Mental health and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Pia Soronen's work include Bipolar Disorder and Treatment (6 papers), Genetic Associations and Epidemiology (4 papers) and Circadian rhythm and melatonin (4 papers). Pia Soronen is often cited by papers focused on Bipolar Disorder and Treatment (6 papers), Genetic Associations and Epidemiology (4 papers) and Circadian rhythm and melatonin (4 papers). Pia Soronen collaborates with scholars based in Finland, United States and United Kingdom. Pia Soronen's co-authors include Tiina Paunio, Timo Partonen, Rolf Adolfsson, Martin Schalling, Anu Loukola, Tuula Kieseppä, Jouko Lönnqvist, Tarja Porkka‐Heiskanen, Erkki Kronholm and Outi M. Palo and has published in prestigious journals such as PLoS ONE, Biological Psychiatry and Human Molecular Genetics.

In The Last Decade

Pia Soronen

20 papers receiving 957 citations

Peers

Pia Soronen
Comparison fields: 5 of 85
  • Endocrine and Autonomic Systems 368
  • Experimental and Cognitive Psychology 244
  • Genetics 232
  • Molecular Biology 191
  • Cognitive Neuroscience 187
Replace Preston Cartagena with:
Preston Cartagena United States
Tomo Okochi Japan
Florian Holsboer Germany
Yuji Ozeki Japan
Anna Leszczyńska-Rodziewicz Poland
Tomoko Tsunoka Japan
Takenori Okumura Japan
Dominic Landgraf Germany
P Zvolský Czechia
Pauline Carter United States
Preston Cartagena United States View profile →
Citations per field, relative to Pia Soronen
Pia Soronen · 1×
Citations per year, relative to Pia Soronen
Pia Soronen · 1×

Countries citing papers authored by Pia Soronen

Since Specialization
Citations

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

Fields of papers citing papers by Pia Soronen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pia Soronen

This figure shows the co-authorship network connecting the top 25 collaborators of Pia Soronen. A scholar is included among the top collaborators of Pia Soronen 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 Pia Soronen. Pia Soronen 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 15
2 19
3 77
4 29
5
CRY2 Is Associated with Depression
2
6 120
7 83
8 25
9
Identification of Susceptibility Loci at 7q31 and 9p13 for Bipolar Disorder in an Isolated Population
1
10 13
11 52
12 17
13 26
14
Association of AKT1 with verbal learning and memory and regional cortical grey matter density in twins
1
15 97
16 209
17 43
18 44
19 57
20 64

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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