Pia Suvitie

31 total papers · 799 total citations
20 papers, 564 citations indexed

About

Pia Suvitie is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Pia Suvitie has authored 20 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Reproductive Medicine, 9 papers in Obstetrics and Gynecology and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Pia Suvitie's work include Endometriosis Research and Treatment (15 papers), Uterine Myomas and Treatments (9 papers) and Menstrual Health and Disorders (4 papers). Pia Suvitie is often cited by papers focused on Endometriosis Research and Treatment (15 papers), Uterine Myomas and Treatments (9 papers) and Menstrual Health and Disorders (4 papers). Pia Suvitie collaborates with scholars based in Finland, Sweden and Germany. Pia Suvitie's co-authors include Antti Perheentupa, Kaisa Huhtinen, Matti Poutanen, Harry Kujari, Jyrki Jalkanen, Päivi Härkki, Annika Auranen, Jaana Fraser, Jouni Junnila and J Mäkinen and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and British Journal of Cancer.

In The Last Decade

Pia Suvitie

18 papers receiving 552 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Pia Suvitie 432 241 125 109 96 20 564
O. Buchweitz 398 0.9× 355 1.5× 131 1.0× 105 1.0× 36 0.4× 14 547
H. Katabuchi 300 0.7× 284 1.2× 100 0.8× 115 1.1× 52 0.5× 30 535
Ronald F. Feinberg 217 0.5× 251 1.0× 176 1.4× 37 0.3× 199 2.1× 21 642
Jaime Ferro 281 0.7× 357 1.5× 203 1.6× 94 0.9× 149 1.6× 11 626
Chiaki Ban 186 0.4× 185 0.8× 70 0.6× 115 1.1× 80 0.8× 27 534
Karishma Mehra 406 0.9× 185 0.8× 51 0.4× 131 1.2× 139 1.4× 12 657
Akiyoshi Yamanaka 288 0.7× 269 1.1× 200 1.6× 68 0.6× 66 0.7× 21 651
Giulia Mariani 351 0.8× 165 0.7× 154 1.2× 80 0.7× 217 2.3× 28 649
A. Romeu 360 0.8× 99 0.4× 73 0.6× 41 0.4× 213 2.2× 29 566
Andrew K. Edwards 371 0.9× 289 1.2× 350 2.8× 69 0.6× 91 0.9× 23 685

Countries citing papers authored by Pia Suvitie

Since Specialization
Citations

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

Fields of papers citing papers by Pia Suvitie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pia Suvitie

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

All Works

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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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