Heidi E. Lilja
Impact in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Genetics top 10%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
Papers in
- Surgery 5
- Cholesterol and Lipid Metabolism 3
- Lipoproteins and Cardiovascular Health 2
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- RNA modifications and cancer 2
- Peroxisome Proliferator-Activated Receptors 2
- Co-authors
- Päivi Pajukanta (7 shared papers)Marja‐Riitta Taskinen (5 shared papers)Leena Peltonen (4 shared papers)Markku Laakso (3 shared papers)Aino Soro‐Paavonen (2 shared papers)Janna Saarela (1 shared paper)Christian Ehnholm (1 shared paper)Rita M. Cantor (1 shared paper)
- Journals
- The American Journal of Human Genetics (3 papers)Journal of Lipid Research (1 paper)Nature Genetics (1 paper)Annals of Medicine (1 paper)Atherosclerosis (1 paper)
- Partner nations
- FinlandUnited StatesAustralia
In The Last Decade
Heidi E. Lilja
8 papers receiving 597 citations
Peers
Comparison fields: 5 of 58
- Endocrinology, Diabetes and Metabolism 160
- Genetics 255
- Cardiology and Cardiovascular Medicine 181
- Biochemistry 45
- Surgery 237
Countries citing papers authored by Heidi E. Lilja
This map shows the geographic impact of Heidi E. Lilja'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 Heidi E. Lilja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heidi E. Lilja more than expected).
Fields of papers citing papers by Heidi E. Lilja
This network shows the impact of papers produced by Heidi E. Lilja. 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 Heidi E. Lilja. The network helps show where Heidi E. Lilja may publish in the future.
Co-authors
The 25 scholars most cited alongside Heidi E. Lilja, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 252 | |
| 2 | 2000 | 130 | |
| 3 | 2002 | 87 | |
| 4 | 2003 | 73 | |
| 5 | 2004 | 23 | |
| 6 | Utilization of intensive care unit resources in severe acute pancreatitis. | 2008 | 21 |
| 7 | 2006 | 20 | |
| 8 | 2002 | 17 | |
| 9 | Searching for genes predisposing to common dyslipidemias | 2004 | 1 |
About Heidi E. Lilja
Heidi E. Lilja is a scholar working on Surgery, Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 9 papers that have together received 624 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Cholesterol and Lipid Metabolism (3 papers), Cancer, Lipids, and Metabolism (2 papers), RNA modifications and cancer (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Lipid metabolism and disorders (2 papers) and Forensic and Genetic Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (160 citations), Genetics (255 citations), Cardiology and Cardiovascular Medicine (181 citations), Biochemistry (45 citations) and Surgery (237 citations). Heidi E. Lilja has collaborated with scholars based in Finland, United States and Australia. Frequent co-authors include Päivi Pajukanta, Marja‐Riitta Taskinen, Leena Peltonen, Markku Laakso, Aino Soro‐Paavonen, Janna Saarela, Christian Ehnholm, Rita M. Cantor, Jorma Viikari and Janet S. Sinsheimer. Their work appears in journals such as The American Journal of Human Genetics, Journal of Lipid Research, Nature Genetics, Annals of Medicine and Atherosclerosis.
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.