Tuuli Lappalainen
- Genetics top 0.5%
- Genetic Associations and Epidemiology 22
- Genetic Mapping and Diversity in Plants and Animals 19
- Genetic and phenotypic traits in livestock 8
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics 16
- Bioinformatics and Genomic Networks 10
- RNA modifications and cancer 9
- RNA Research and Splicing 9
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 8
- Infectious Diseases top 5%
- Immunology top 10%
- Co-authors
- Stephane E. CastelAlicia R. MartinPejman MohammadiJohn M. GreallyHilary C. MartinYukinori OkadaEmil UffelmannDaniëlle Posthuma
- Partner nations
- United StatesSwedenSwitzerland
In The Last Decade
Tuuli Lappalainen
54 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Genetics 2.1k
- Molecular Biology 2.3k
- Cancer Research 449
- Infectious Diseases 371
- Immunology 411
Countries citing papers authored by Tuuli Lappalainen
This map shows the geographic impact of Tuuli Lappalainen'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 Tuuli Lappalainen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tuuli Lappalainen more than expected).
Fields of papers citing papers by Tuuli Lappalainen
This network shows the impact of papers produced by Tuuli Lappalainen. 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 Tuuli Lappalainen. The network helps show where Tuuli Lappalainen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tuuli Lappalainen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 23 | |
| 3 | 2023 | 84 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 49 | |
| 6 | 2022 | 21 | |
| 7 | 2021 | 17 | |
| 8 | Genome-wide association studiesbreakdown → | 2021 | 825 |
| 9 | 2020 | 348 | |
| 10 | 2020 | 3 | |
| 11 | 2019 | 64 | |
| 12 | 2019 | 174 | |
| 13 | 2018 | 119 | |
| 14 | 2017 | 74 | |
| 15 | 2015 | 38 | |
| 16 | 2015 | 201 | |
| 17 | 2015 | 1 | |
| 18 | 2014 | 36 | |
| 19 | 2013 | 1 | |
| 20 | 2011 | 55 |
About Tuuli Lappalainen
Tuuli Lappalainen is a scholar working on Genetics, Cancer Research and Molecular Biology, having authored 60 papers that have together received 4.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (22 papers), Genetic Mapping and Diversity in Plants and Animals (19 papers), Genomics and Chromatin Dynamics (16 papers), Bioinformatics and Genomic Networks (10 papers), RNA modifications and cancer (9 papers), RNA Research and Splicing (9 papers), Genetic and phenotypic traits in livestock (8 papers) and Cancer-related molecular mechanisms research (8 papers). The work is most often cited by research in Genetics (2.1k citations), Molecular Biology (2.3k citations) and Cancer Research (449 citations). Tuuli Lappalainen has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include Stephane E. Castel, Alicia R. Martin, Pejman Mohammadi, John M. Greally, Hilary C. Martin, Yukinori Okada, Emil Uffelmann, Daniëlle Posthuma, Nchangwi Syntia Munung and Jantina de Vries. Their work appears in journals such as Nature, Science and Cell.
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.