Juha Mykkänen
- Genetics top 5%
- Molecular Biology
- Surgery top 10%
- Biochemistry top 1%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Olli SimellJorma IlonenMikael KnipRiitta VeijolaVille SimellJorma ToppariTuula SimellHeikki Hyöty
- Topics
- Business Process Modeling and Analysis (18 papers)Electronic Health Records Systems (15 papers)Amino Acid Enzymes and Metabolism (14 papers)
- Journals
- Nature GeneticsSHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- FinlandUnited KingdomUnited States
In The Last Decade
Juha Mykkänen
74 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 137
- Genetics 641
- Molecular Biology 488
- Surgery 354
- Biochemistry 352
- Endocrinology, Diabetes and Metabolism 345
Countries citing papers authored by Juha Mykkänen
This map shows the geographic impact of Juha Mykkänen'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 Juha Mykkänen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juha Mykkänen more than expected).
Fields of papers citing papers by Juha Mykkänen
This network shows the impact of papers produced by Juha Mykkänen. 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 Juha Mykkänen. The network helps show where Juha Mykkänen may publish in the future.
Co-authorship network of co-authors of Juha Mykkänen
This figure shows the co-authorship network connecting the top 25 collaborators of Juha Mykkänen. A scholar is included among the top collaborators of Juha Mykkänen 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 Juha Mykkänen. Juha Mykkänen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 1 | |
| 7 | Glycoprotein Acetyls: A Novel Inflammatory Biomarker of Early Cardiovascular Risk in the Young | 51 |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 34 | |
| 11 | 11 | |
| 12 | 12 | |
| 13 | 36 | |
| 14 | Needs for Open Interfaces in Personal Health Record Systems and Citizen eServices – Results from a National Survey | 1 |
| 15 | 6 | |
| 16 | Balancing between Local Requirements, Interoperability Standards, and SOA principles ‐ Case eBooking of Health Services | 3 |
| 17 | Modeling Approaches in the Early Phases of Information Systems Development | 4 |
| 18 | 26 | |
| 19 | 57 | |
| 20 | 35 |
About Juha Mykkänen
Juha Mykkänen is a scholar working on Medical Terminology, Health Information Management and Management Information Systems, having authored 83 papers that have together received 1.8k indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (18 papers), Electronic Health Records Systems (15 papers) and Amino Acid Enzymes and Metabolism (14 papers). The work is most often cited by research in Biochemistry (352 citations), Clinical Biochemistry (292 citations) and Genetics (641 citations). Juha Mykkänen has collaborated with scholars based in Finland, United Kingdom and United States. Frequent co-authors include Olli Simell, Jorma Ilonen, Mikael Knip, Riitta Veijola, Ville Simell, Jorma Toppari, Olli Simell, Tuula Simell, Heikki Hyöty and Kirsi Huoponen. Their work appears in journals such as Nature Genetics, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.
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.