Anu Pasanen

444 total citations
11 papers, 230 citations indexed

About

Anu Pasanen is a scholar working on Epidemiology, Obstetrics and Gynecology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Anu Pasanen has authored 11 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 4 papers in Obstetrics and Gynecology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Anu Pasanen's work include Preterm Birth and Chorioamnionitis (5 papers), Pregnancy and preeclampsia studies (4 papers) and Respiratory viral infections research (3 papers). Anu Pasanen is often cited by papers focused on Preterm Birth and Chorioamnionitis (5 papers), Pregnancy and preeclampsia studies (4 papers) and Respiratory viral infections research (3 papers). Anu Pasanen collaborates with scholars based in Finland, Sweden and Denmark. Anu Pasanen's co-authors include Mikko Hallman, Mika Rämet, Minna K. Karjalainen, Louis J. Muglia, Antti M. Haapalainen, Ene Reimann, Kaisa Tasanen, Johanna M. Huusko, Triin Laisk and Reedik Mägi and has published in prestigious journals such as Scientific Reports, New Phytologist and Journal of Allergy and Clinical Immunology.

In The Last Decade

Anu Pasanen

11 papers receiving 227 citations

Peers

Anu Pasanen

EPIDE

MB

IMMUN

PHYSI

PS

M. Pérez‐Crespo Spain

William J. Branchett United Kingdom

Meiping Lu China

Chhavi Goel India

Jennifer A. Cafardi United States

R Lange Germany

Isabelle Luchsinger Switzerland

Naoko Takeo Japan

Kanwaljit Brar United States

Hongyun Zhang China

M. Pérez‐Crespo Spain

Anu Pasanen

19 ×0.3

EPIDE

37 ×0.7

MB

14 ×0.3

IMMUN

38 ×0.9

PHYSI

11 ×0.3

PS

Citations per year, relative to Anu Pasanen Anu Pasanen (= 1×) peers M. Pérez‐Crespo

Countries citing papers authored by Anu Pasanen

Since Specialization

Citations

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

Fields of papers citing papers by Anu Pasanen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anu Pasanen

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

All Works

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11 of 11 papers shown

1.

Haapalainen, Antti M., et al.. (2024). MicroRNA expression profile in the basal plate of human placenta associates with spontaneous preterm birth. Placenta. 155. 60–69. 1 indexed citations

2.

Pasanen, Anu, Eeva Sliz, Laura Huilaja, et al.. (2024). Identifying Atopic Dermatitis Risk Loci in 1,094,060 Individuals with Subanalysis of Disease Severity and Onset. Journal of Investigative Dermatology. 144(11). 2417–2425. 4 indexed citations

3.

Pasanen, Anu, Minna K. Karjalainen, Ge Zhang, et al.. (2023). Meta-analysis of genome-wide association studies of gestational duration and spontaneous preterm birth identifies new maternal risk loci. PLoS Genetics. 19(10). e1010982–e1010982. 7 indexed citations

4.

Haapalainen, Antti M., Anu Pasanen, Johanna M. Huusko, et al.. (2022). Human placental proteomics and exon variant studies link AAT/SERPINA1 with spontaneous preterm birth. BMC Medicine. 20(1). 141–141. 14 indexed citations

5.

Sliz, Eeva, Laura Huilaja, Anu Pasanen, et al.. (2021). Uniting biobank resources reveals novel genetic pathways modulating susceptibility for atopic dermatitis. Journal of Allergy and Clinical Immunology. 149(3). 1105–1112.e9. 63 indexed citations

6.

Huusko, Johanna M., Antti M. Haapalainen, Anu Pasanen, et al.. (2021). Integrative genetic, genomic and transcriptomic analysis of heat shock protein and nuclear hormone receptor gene associations with spontaneous preterm birth. Scientific Reports. 11(1). 17115–17115. 14 indexed citations

7.

Haapalainen, Antti M., Minna K. Karjalainen, Anu Pasanen, et al.. (2019). Risk of spontaneous preterm birth and fetal growth associates with fetal SLIT2. PLoS Genetics. 15(6). e1008107–e1008107. 42 indexed citations

8.

Pasanen, Anu, Minna K. Karjalainen, Laura Kummola, et al.. (2018). NKG2D gene variation and susceptibility to viral bronchiolitis in childhood. Pediatric Research. 84(3). 451–457. 5 indexed citations

9.

Pasanen, Anu, Minna K. Karjalainen, Louis Bont, et al.. (2017). Genome-Wide Association Study of Polymorphisms Predisposing to Bronchiolitis. Scientific Reports. 7(1). 41653–41653. 22 indexed citations

10.

Husby, Anders, Anu Pasanen, Johannes Waage, et al.. (2017). CDHR3 gene variation and childhood bronchiolitis. Journal of Allergy and Clinical Immunology. 140(5). 1469–1471.e7. 11 indexed citations

11.

Toivainen, Tuomas, Anu Pasanen, Bénédicte Quilot‐Turion, et al.. (2012). Role of vernalization and of duplicated FLOWERING LOCUS C in the perennial Arabidopsis lyrata. New Phytologist. 197(1). 323–335. 47 indexed citations

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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