Pia Pajunen
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology top 10%
- Physiology top 10%
- Surgery
- Co-authors
- Veikko SalomaaPekka JousilahtiJouko SundvallMikko SyvänneMarkku S. NieminenKarolina TuomistoMarja‐Riitta TaskinenMarkku Peltonen
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers)Cardiovascular Function and Risk Factors (5 papers)Cardiac Imaging and Diagnostics (5 papers)
- Partner nations
- FinlandUnited StatesSpain
In The Last Decade
Pia Pajunen
31 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 94
- Cardiology and Cardiovascular Medicine 376
- Endocrinology, Diabetes and Metabolism 286
- Epidemiology 283
- Physiology 247
- Surgery 208
Countries citing papers authored by Pia Pajunen
This map shows the geographic impact of Pia Pajunen'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 Pajunen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pia Pajunen more than expected).
Fields of papers citing papers by Pia Pajunen
This network shows the impact of papers produced by Pia Pajunen. 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 Pajunen. The network helps show where Pia Pajunen may publish in the future.
Co-authorship network of co-authors of Pia Pajunen
This figure shows the co-authorship network connecting the top 25 collaborators of Pia Pajunen. A scholar is included among the top collaborators of Pia Pajunen 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 Pajunen. Pia Pajunen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 17 | |
| 3 | 118 | |
| 4 | Ylipainon ja lihavuuden esiintyvyys tyypin 2 diabetespotilailla | 1 |
| 5 | 131 | |
| 6 | 31 | |
| 7 | 17 | |
| 8 | 16 | |
| 9 | 3 | |
| 10 | 181 | |
| 11 | 17 | |
| 12 | Valtimotautitapahtumien riskiryhmään kuuluvien ja kuulumattomien kolesterolitasot FINRISKI 2002 -tutkimuksessa | 1 |
| 13 | 44 | |
| 14 | 17 | |
| 15 | 27 | |
| 16 | 11 | |
| 17 | 22 | |
| 18 | 66 | |
| 19 | 23 | |
| 20 | 50 |
About Pia Pajunen
Pia Pajunen is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Cardiovascular Function and Risk Factors (5 papers) and Cardiac Imaging and Diagnostics (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (286 citations), Cardiology and Cardiovascular Medicine (376 citations) and Physiology (247 citations). Pia Pajunen has collaborated with scholars based in Finland, United States and Spain. Frequent co-authors include Veikko Salomaa, Pekka Jousilahti, Jouko Sundvall, Mikko Syvänne, Markku S. Nieminen, Karolina Tuomisto, Marja‐Riitta Taskinen, Markku Peltonen, Matti Uusitupa and Sirkka Keinänen‐Kiukaanniemi. Their work appears in journals such as Diabetes Care, Stroke and The American Journal of Cardiology.
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.