Ilkka Sipilä
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology top 10%
- Genetics top 2%
- Surgery top 10%
- Clinical Biochemistry top 1%
- Co-authors
- Jaakko PerheentupaPekka AhonenS MyllärniemiOlli SimellJuhani RapolaAntti VannasLeo DunkelDavid Valle
- Topics
- Metabolism and Genetic Disorders (16 papers)Growth Hormone and Insulin-like Growth Factors (12 papers)Amino Acid Enzymes and Metabolism (11 papers)
- Partner nations
- FinlandUnited StatesSweden
In The Last Decade
Ilkka Sipilä
68 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Endocrinology, Diabetes and Metabolism 1.1k
- Molecular Biology 933
- Genetics 901
- Surgery 527
- Clinical Biochemistry 339
Countries citing papers authored by Ilkka Sipilä
This map shows the geographic impact of Ilkka Sipilä'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 Sipilä with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilkka Sipilä more than expected).
Fields of papers citing papers by Ilkka Sipilä
This network shows the impact of papers produced by Ilkka Sipilä. 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 Sipilä. The network helps show where Ilkka Sipilä may publish in the future.
Co-authorship network of co-authors of Ilkka Sipilä
This figure shows the co-authorship network connecting the top 25 collaborators of Ilkka Sipilä. A scholar is included among the top collaborators of Ilkka Sipilä 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 Sipilä. Ilkka Sipilä is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 23 | |
| 3 | 45 | |
| 4 | 23 | |
| 5 | 158 | |
| 6 | 7 | |
| 7 | 72 | |
| 8 | 8 | |
| 9 | 11 | |
| 10 | 3 | |
| 11 | 14 | |
| 12 | 27 | |
| 13 | 82 | |
| 14 | 43 | |
| 15 | 28 | |
| 16 | [Hyperornithinemia and gyrate atrophy: ornithine aminotransferase gene error causing a Finnish disease]. | 2 |
| 17 | 22 | |
| 18 | 62 | |
| 19 | Clinical Variation of Autoimmune Polyendocrinopathy–Candidiasis–Ectodermal Dystrophy (APECED) in a Series of 68 Patientsbreakdown → | 693 |
| 20 | 5 |
About Ilkka Sipilä
Ilkka Sipilä is a scholar working on Clinical Biochemistry, Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 73 papers that have together received 3.1k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (16 papers), Growth Hormone and Insulin-like Growth Factors (12 papers) and Amino Acid Enzymes and Metabolism (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Clinical Biochemistry (339 citations) and Genetics (901 citations). Ilkka Sipilä has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Jaakko Perheentupa, Pekka Ahonen, S Myllärniemi, Olli Simell, Juhani Rapola, Antti Vannas, Olli Simell, Leo Dunkel, David Valle and Sanna Wickman. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.