Nina Mononen

8.0k total citations
88 papers, 2.4k citations indexed

About

Nina Mononen is a scholar working on Molecular Biology, Psychiatry and Mental health and Genetics. According to data from OpenAlex, Nina Mononen has authored 88 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 16 papers in Psychiatry and Mental health and 14 papers in Genetics. Recurrent topics in Nina Mononen's work include Epigenetics and DNA Methylation (11 papers), Bipolar Disorder and Treatment (11 papers) and Treatment of Major Depression (10 papers). Nina Mononen is often cited by papers focused on Epigenetics and DNA Methylation (11 papers), Bipolar Disorder and Treatment (11 papers) and Treatment of Major Depression (10 papers). Nina Mononen collaborates with scholars based in Finland, Germany and Sweden. Nina Mononen's co-authors include Terho Lehtimäki, Johanna Schleutker, Teuvo L.J. Tammela, Mika Kähönen, Mika Matikainen, Tarja Ikonen, Esa Leìnonen, Olli Kampman, Pasi A. Koivisto and Olli T. Raitakari and has published in prestigious journals such as Diabetes Care, Cancer Research and Scientific Reports.

In The Last Decade

Nina Mononen

83 papers receiving 2.4k citations

Peers

Nina Mononen
Comparison fields: 5 of 116
  • Molecular Biology 954
  • Genetics 501
  • Pulmonary and Respiratory Medicine 422
  • Endocrinology, Diabetes and Metabolism 381
  • Epidemiology 282
Replace Dietrich Klingmüller with:
Dietrich Klingmüller Germany
Chuanhui Dong United States
Melanie A. Carless United States
Brett T. Marck United States
Konstantine T. Kalogeras Greece
Frederik J. Steyn Australia
Pietro Maffei Italy
Stefan Johansson Norway
Rona J. Strawbridge Sweden
Sylvie Brailly‐Tabard France
Dietrich Klingmüller Germany View profile →
Citations per field, relative to Nina Mononen
Nina Mononen · 1×
Citations per year, relative to Nina Mononen
Nina Mononen · 1×

Countries citing papers authored by Nina Mononen

Since Specialization
Citations

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

Fields of papers citing papers by Nina Mononen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Mononen

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Mononen. A scholar is included among the top collaborators of Nina Mononen 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 Nina Mononen. Nina Mononen 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 2
2 1
3 0
4 3
5 2
6 0
7 4
8 18
9 15
10 183
11 30
12 30
13 16
14 29
15 10
16 14
17 62
18 9
19 98
20 31

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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