Helena Reijonen
- Genetics top 0.5%
- Surgery top 2%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Immunology top 2%
- Molecular Biology
- Co-authors
- Jorma IlonenMikael KnipGerald T. NepomHans K. ÅkerblomWilliam W. KwokMinna SjöroosSharon A. KochikPetri Kulmala
- Topics
- Diabetes and associated disorders (70 papers)T-cell and B-cell Immunology (36 papers)Pancreatic function and diabetes (34 papers)
- Partner nations
- FinlandUnited StatesCanada
In The Last Decade
Helena Reijonen
96 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 103
- Genetics 2.5k
- Surgery 1.6k
- Endocrinology, Diabetes and Metabolism 1.4k
- Immunology 1.4k
- Molecular Biology 321
Countries citing papers authored by Helena Reijonen
This map shows the geographic impact of Helena Reijonen'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 Helena Reijonen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Helena Reijonen more than expected).
Fields of papers citing papers by Helena Reijonen
This network shows the impact of papers produced by Helena Reijonen. 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 Helena Reijonen. The network helps show where Helena Reijonen may publish in the future.
Co-authorship network of co-authors of Helena Reijonen
This figure shows the co-authorship network connecting the top 25 collaborators of Helena Reijonen. A scholar is included among the top collaborators of Helena Reijonen 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 Helena Reijonen. Helena Reijonen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 22 | |
| 3 | 1 | |
| 4 | 65 | |
| 5 | 39 | |
| 6 | 20 | |
| 7 | 94 | |
| 8 | 87 | |
| 9 | 11 | |
| 10 | 56 | |
| 11 | The Childhood Diabetes in Finland Study Group: Cow's milk consumption, HLA-DQB1 genotype, and type 1 diabetes: a nested case-control study of siblings of children with diabetes. (vol 49, pg 912, 2000) | 4 |
| 12 | 36 | |
| 13 | Cow's milk consumption, HLA-DQB1 genotype and IDDM: a nested case-control study of siblings of children with diabetes | 4 |
| 14 | 9 | |
| 15 | 30 | |
| 16 | 24 | |
| 17 | 20 | |
| 18 | 4 | |
| 19 | 48 | |
| 20 | 13 |
About Helena Reijonen
Helena Reijonen is a scholar working on Immunology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 97 papers that have together received 3.6k indexed citations. Recurring topics across this work include Diabetes and associated disorders (70 papers), T-cell and B-cell Immunology (36 papers) and Pancreatic function and diabetes (34 papers). The work is most often cited by research in Genetics (2.5k citations), Endocrinology, Diabetes and Metabolism (1.4k citations) and Immunology (1.4k citations). Helena Reijonen has collaborated with scholars based in Finland, United States and Canada. Frequent co-authors include Jorma Ilonen, Mikael Knip, Gerald T. Nepom, Hans K. Åkerblom, William W. Kwok, Minna Sjöroos, Sharon A. Kochik, Petri Kulmala, Timo Lövgren and Paula Vähäsalo. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Blood.
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.