Ilkka Penttilä
- Endocrinology, Diabetes and Metabolism top 0.5%
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 5%
- Physiology top 5%
- Molecular Biology top 10%
- Co-authors
- Kalevi PyörälàMarkku LaaksoMatti UusitupaErkki VoutilainenSari VäisänenRainer RauramaaAntero JulkunenSeppo Lehto
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (24 papers)Lipoproteins and Cardiovascular Health (10 papers)Acute Myocardial Infarction Research (10 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismNutrition and DieteticsCardiology and Cardiovascular Medicine
- Partner nations
- FinlandUnited StatesGermany
In The Last Decade
Ilkka Penttilä
143 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 161
- Endocrinology, Diabetes and Metabolism 1.4k
- Cardiology and Cardiovascular Medicine 1.0k
- Surgery 828
- Physiology 749
- Molecular Biology 699
Countries citing papers authored by Ilkka Penttilä
This map shows the geographic impact of Ilkka Penttilä'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 Ilkka Penttilä with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilkka Penttilä more than expected).
Fields of papers citing papers by Ilkka Penttilä
This network shows the impact of papers produced by Ilkka Penttilä. 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 Ilkka Penttilä. The network helps show where Ilkka Penttilä may publish in the future.
Co-authorship network of co-authors of Ilkka Penttilä
This figure shows the co-authorship network connecting the top 25 collaborators of Ilkka Penttilä. A scholar is included among the top collaborators of Ilkka Penttilä 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 Ilkka Penttilä. Ilkka Penttilä is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 40 | |
| 2 | 57 | |
| 3 | 7 | |
| 4 | 49 | |
| 5 | 9 | |
| 6 | 20 | |
| 7 | Serum tumour markers CEA, AFP, CA 15-3, TPS and Neu in diagnosis of breast cancer. | 24 |
| 8 | 67 | |
| 9 | 17 | |
| 10 | 149 | |
| 11 | 8 | |
| 12 | 25 | |
| 13 | 37 | |
| 14 | 9 | |
| 15 | 45 | |
| 16 | 79 | |
| 17 | 17 | |
| 18 | 79 | |
| 19 | 8 | |
| 20 | Human ionic plasma fluoride concentrations and age in a fluoridated community. | 8 |
About Ilkka Penttilä
Ilkka Penttilä is a scholar working on Endocrinology, Diabetes and Metabolism, Internal Medicine and Cardiology and Cardiovascular Medicine, having authored 144 papers that have together received 4.8k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (24 papers), Lipoproteins and Cardiovascular Health (10 papers) and Acute Myocardial Infarction Research (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Nutrition and Dietetics (689 citations) and Cardiology and Cardiovascular Medicine (1.0k citations). Ilkka Penttilä has collaborated with scholars based in Finland, United States and Germany. Frequent co-authors include Kalevi Pyörälà, Markku Laakso, Matti Uusitupa, Erkki Voutilainen, Sari Väisänen, Rainer Rauramaa, Antero Julkunen, Seppo Lehto, Tapio Rantanen and Markku Parviainen. Their work appears in journals such as Circulation, Annals of Internal Medicine and American Journal of Clinical Nutrition.
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.