Suvi E. Heinonen
Impact in
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- Atherosclerosis and Cardiovascular Diseases
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- Cancer, Lipids, and Metabolism
Papers in
- Surgery 7
- Pancreatic function and diabetes 3
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- Metabolism, Diabetes, and Cancer 2
- Co-authors
- Seppo Ylä‐Herttuala (17 shared papers)Pia Leppänen (4 shared papers)Petri I. Mäkinen (4 shared papers)Mikko P. Turunen (2 shared papers)Janne Heikkilä (1 shared paper)Markku Lähteenvuo (1 shared paper)Jari P. Lappalainen (1 shared paper)Marike H. Dijkstra (4 shared papers)
In The Last Decade
Suvi E. Heinonen
23 papers receiving 558 citations
Peers
Comparison fields: 5 of 64
- Immunology 124
- Cancer Research 58
- Oncology 92
- Cardiology and Cardiovascular Medicine 74
- Immunology and Allergy 19
Countries citing papers authored by Suvi E. Heinonen
This map shows the geographic impact of Suvi E. Heinonen'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 Suvi E. Heinonen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suvi E. Heinonen more than expected).
Fields of papers citing papers by Suvi E. Heinonen
This network shows the impact of papers produced by Suvi E. Heinonen. 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 Suvi E. Heinonen. The network helps show where Suvi E. Heinonen may publish in the future.
Co-authors
The 25 scholars most cited alongside Suvi E. Heinonen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 104 | |
| 2 | 2014 | 93 | |
| 3 | 2007 | 54 | |
| 4 | 2007 | 52 | |
| 5 | 2013 | 52 | |
| 6 | 2011 | 37 | |
| 7 | 2011 | 32 | |
| 8 | 2015 | 29 | |
| 9 | 2012 | 23 | |
| 10 | 2015 | 21 | |
| 11 | 2008 | 18 | |
| 12 | 2011 | 17 | |
| 13 | 2019 | 10 | |
| 14 | 1997 | 5 | |
| 15 | 2007 | 4 | |
| 16 | 2016 | 4 | |
| 17 | LDLR-/-ApoB100/100 mice with insulin-like growth factor II overexpression reveal a novel form of retinopathy with photoreceptor atrophy and altered morphology of the retina. | 2013 | 4 |
| 18 | 2018 | 3 | |
| 19 | 2018 | 1 | |
| 20 | 2014 | 1 |
About Suvi E. Heinonen
Suvi E. Heinonen is a scholar working on Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology and Immunology, having authored 24 papers that have together received 567 indexed citations. Recurring topics across this work include Lymphatic System and Diseases (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Lipid metabolism and disorders (3 papers), Pancreatic function and diabetes (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers), Virus-based gene therapy research (2 papers) and Myasthenia Gravis and Thymoma (1 paper). The work is most often cited by research in Immunology (124 citations), Cancer Research (58 citations), Oncology (92 citations), Cardiology and Cardiovascular Medicine (74 citations) and Immunology and Allergy (19 citations). Suvi E. Heinonen has collaborated with scholars based in Finland, Sweden and Spain. Frequent co-authors include Seppo Ylä‐Herttuala, Pia Leppänen, Petri I. Mäkinen, Mikko P. Turunen, Janne Heikkilä, Markku Lähteenvuo, Jari P. Lappalainen, Marike H. Dijkstra, Ivana Kholová and Fátima Bosch. Their work appears in journals such as Cardiovascular Research, Arteriosclerosis Thrombosis and Vascular Biology, Atherosclerosis, Scientific Reports and Prenatal Diagnosis.
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.