Andrea Ganna
- Molecular Biology top 10%
- Genetics top 2%
- Physiology top 10%
- Epidemiology
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Erik IngelssonJessica E. PrenniCorey D. BroecklingPatrik K. E. MagnussonLars LindSamira SalihovićTove FallMark J. Daly
- Topics
- Genetic Associations and Epidemiology (28 papers)Metabolomics and Mass Spectrometry Studies (12 papers)Liver Disease Diagnosis and Treatment (5 papers)
- Cited by
- GeneticsAgingMolecular Biology
- Journals
- NatureScienceThe Lancet
- Partner nations
- United StatesFinlandSweden
In The Last Decade
Andrea Ganna
59 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Molecular Biology 867
- Genetics 778
- Physiology 299
- Epidemiology 226
- Public Health, Environmental and Occupational Health 193
Countries citing papers authored by Andrea Ganna
This map shows the geographic impact of Andrea Ganna'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 Andrea Ganna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Ganna more than expected).
Fields of papers citing papers by Andrea Ganna
This network shows the impact of papers produced by Andrea Ganna. 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 Andrea Ganna. The network helps show where Andrea Ganna may publish in the future.
Co-authorship network of co-authors of Andrea Ganna
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Ganna. A scholar is included among the top collaborators of Andrea Ganna 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 Andrea Ganna. Andrea Ganna 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 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 9 | |
| 9 | 12 | |
| 10 | 14 | |
| 11 | 23 | |
| 12 | 16 | |
| 13 | 7 | |
| 14 | 29 | |
| 15 | 62 | |
| 16 | 4 | |
| 17 | Large-scale GWAS reveals insights into the genetic architecture of same-sex sexual behaviorbreakdown → | 213 |
| 18 | Polygenic adaptation on height is overestimated due to uncorrected stratification in genome-wide association studiesbreakdown → | 228 |
| 19 | 15 | |
| 20 | 54 |
About Andrea Ganna
Andrea Ganna is a scholar working on Genetics, Health Information Management and Aging, having authored 66 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (28 papers), Metabolomics and Mass Spectrometry Studies (12 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Genetics (778 citations), Aging (31 citations) and Molecular Biology (867 citations). Andrea Ganna has collaborated with scholars based in United States, Finland and Sweden. Frequent co-authors include Erik Ingelsson, Jessica E. Prenni, Corey D. Broeckling, Patrik K. E. Magnusson, Lars Lind, Samira Salihović, Tove Fall, Mark J. Daly, Benjamin M. Neale and Johan Ärnlöv. Their work appears in journals such as Nature, Science and The Lancet.
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.