Jukka Koskela
- Pulmonary and Respiratory Medicine top 10%
- Genetics top 10%
- Physiology top 10%
- Epidemiology
- Molecular Biology
- Co-authors
- Tarja LaitinenAarno PalotieSamuli RipattiWitold MazurTuomo KiiskinenAki S. HavulinnaVeikko SalomaaMark J. Daly
- Topics
- Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers)Asthma and respiratory diseases (4 papers)
- Partner nations
- FinlandUnited StatesUnited Kingdom
In The Last Decade
Jukka Koskela
21 papers receiving 730 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Pulmonary and Respiratory Medicine 270
- Genetics 232
- Physiology 208
- Epidemiology 95
- Molecular Biology 86
Countries citing papers authored by Jukka Koskela
This map shows the geographic impact of Jukka Koskela'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 Jukka Koskela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jukka Koskela more than expected).
Fields of papers citing papers by Jukka Koskela
This network shows the impact of papers produced by Jukka Koskela. 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 Jukka Koskela. The network helps show where Jukka Koskela may publish in the future.
Co-authorship network of co-authors of Jukka Koskela
This figure shows the co-authorship network connecting the top 25 collaborators of Jukka Koskela. A scholar is included among the top collaborators of Jukka Koskela 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 Jukka Koskela. Jukka Koskela 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 | 5 | |
| 3 | 13 | |
| 4 | 4 | |
| 5 | 14 | |
| 6 | 74 | |
| 7 | 1 | |
| 8 | 29 | |
| 9 | 6 | |
| 10 | 11 | |
| 11 | Polygenic and clinical risk scores and their impact on age at onset and prediction of cardiometabolic diseases and common cancersbreakdown → | 245 |
| 12 | Geographic Variation and Bias in the Polygenic Scores of Complex Diseases and Traits in Finland | 1 |
| 13 | 68 | |
| 14 | 2 | |
| 15 | 12 | |
| 16 | 40 | |
| 17 | 13 | |
| 18 | 53 | |
| 19 | 94 | |
| 20 | 10 |
About Jukka Koskela
Jukka Koskela is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Epidemiology, having authored 23 papers that have together received 748 indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (5 papers) and Asthma and respiratory diseases (4 papers). The work is most often cited by research in Genetics (232 citations), Pulmonary and Respiratory Medicine (270 citations) and Physiology (208 citations). Jukka Koskela has collaborated with scholars based in Finland, United States and United Kingdom. Frequent co-authors include Tarja Laitinen, Aarno Palotie, Samuli Ripatti, Witold Mazur, Tuomo Kiiskinen, Aki S. Havulinna, Veikko Salomaa, Mark J. Daly, Nina Mars and Jing Gao. Their work appears in journals such as Nature Medicine, Gastroenterology 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.