Jussi Paananen
- Molecular Biology top 10%
- Physiology top 5%
- Public Health, Environmental and Occupational Health top 5%
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Johanna KuusistoVittorio FortinoMarkku LaaksoKati HanhinevaAlena StančákováMarjukka KolehmainenMatti UusitupaJussi Pihlajamäki
- Topics
- Metabolomics and Mass Spectrometry Studies (10 papers)Bioinformatics and Genomic Networks (10 papers)Genetic Associations and Epidemiology (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- FinlandUnited StatesSweden
In The Last Decade
Jussi Paananen
66 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 167
- Molecular Biology 1.3k
- Physiology 737
- Public Health, Environmental and Occupational Health 383
- Epidemiology 356
- Endocrinology, Diabetes and Metabolism 354
Countries citing papers authored by Jussi Paananen
This map shows the geographic impact of Jussi Paananen'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 Jussi Paananen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jussi Paananen more than expected).
Fields of papers citing papers by Jussi Paananen
This network shows the impact of papers produced by Jussi Paananen. 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 Jussi Paananen. The network helps show where Jussi Paananen may publish in the future.
Co-authorship network of co-authors of Jussi Paananen
This figure shows the co-authorship network connecting the top 25 collaborators of Jussi Paananen. A scholar is included among the top collaborators of Jussi Paananen 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 Jussi Paananen. Jussi Paananen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 19 | |
| 3 | 10 | |
| 4 | 5 | |
| 5 | A whole exome sequencing-based panel assay with boosted clinical content generates a high diagnostic yield in patients with inherited eye diseases | 1 |
| 6 | 18 | |
| 7 | 39 | |
| 8 | 22 | |
| 9 | 29 | |
| 10 | 55 | |
| 11 | 133 | |
| 12 | 39 | |
| 13 | 36 | |
| 14 | 50 | |
| 15 | 203 | |
| 16 | 47 | |
| 17 | 30 | |
| 18 | 10 | |
| 19 | 50 | |
| 20 | 1 |
About Jussi Paananen
Jussi Paananen is a scholar working on Issues, ethics and legal aspects, Physiology and Toxicology, having authored 68 papers that have together received 2.6k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (10 papers), Bioinformatics and Genomic Networks (10 papers) and Genetic Associations and Epidemiology (8 papers). The work is most often cited by research in Physiology (737 citations), Biological Psychiatry (71 citations) and Endocrinology, Diabetes and Metabolism (354 citations). Jussi Paananen has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Johanna Kuusisto, Vittorio Fortino, Markku Laakso, Kati Hanhineva, Alena Stančáková, Marjukka Kolehmainen, Matti Uusitupa, Jussi Pihlajamäki, Michael Boehnke and Francis S. Collins. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.