Jari Heikkinen
- Molecular Biology
- Genetics top 10%
- Rheumatology top 5%
- Cell Biology top 10%
- Cancer Research
- Co-authors
- Raili MyllyläChunguang WangMaija RisteliKari I. KivirikkoTimo HautalaLahja UittoRaija SormunenHeli Ruotsalainen
- Topics
- Connective tissue disorders research (13 papers)Microbial metabolism and enzyme function (4 papers)Ubiquitin and proteasome pathways (3 papers)
- Cited by
- GeneticsRheumatologyCell Biology
- Partner nations
- FinlandUnited KingdomUnited States
In The Last Decade
Jari Heikkinen
17 papers receiving 690 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 490
- Genetics 326
- Rheumatology 169
- Cell Biology 167
- Cancer Research 116
Countries citing papers authored by Jari Heikkinen
This map shows the geographic impact of Jari Heikkinen'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 Jari Heikkinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jari Heikkinen more than expected).
Fields of papers citing papers by Jari Heikkinen
This network shows the impact of papers produced by Jari Heikkinen. 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 Jari Heikkinen. The network helps show where Jari Heikkinen may publish in the future.
Co-authorship network of co-authors of Jari Heikkinen
This figure shows the co-authorship network connecting the top 25 collaborators of Jari Heikkinen. A scholar is included among the top collaborators of Jari Heikkinen 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 Jari Heikkinen. Jari Heikkinen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 83 | |
| 3 | 63 | |
| 4 | 94 | |
| 5 | 48 | |
| 6 | 4 | |
| 7 | 20 | |
| 8 | 115 | |
| 9 | 5 | |
| 10 | Duplication of seven exons in the lysyl hydroxylase gene is associated with longer forms of a repetitive sequence within the gene and is a common cause for the type VI variant of Ehlers-Danlos syndrome. | 41 |
| 11 | 49 | |
| 12 | 12 | |
| 13 | Alu-Alu recombination results in a duplication of seven exons in the lysyl hydroxylase gene in a patient with the type VI variant of Ehlers-Danlos syndrome. | 59 |
| 14 | 39 | |
| 15 | 58 | |
| 16 | 26 | |
| 17 | 13 |
About Jari Heikkinen
Jari Heikkinen is a scholar working on Genetics, Cell Biology and Urology, having authored 17 papers that have together received 742 indexed citations. Recurring topics across this work include Connective tissue disorders research (13 papers), Microbial metabolism and enzyme function (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Genetics (326 citations), Rheumatology (169 citations) and Cell Biology (167 citations). Jari Heikkinen has collaborated with scholars based in Finland, United Kingdom and United States. Frequent co-authors include Raili Myllylä, Chunguang Wang, Maija Risteli, Kari I. Kivirikko, Timo Hautala, Lahja Uitto, Raija Sormunen, Heli Ruotsalainen, Laura Sipilä and Jaana Latvala. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal and Journal of Investigative Dermatology.
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.