Tuuli Lappalainen

56.5k citations
60 papers · 4.5k indexed · 2 hit papers · h-index 32
Topics
Genetic Associations and Epidemiology (22 papers)Genetic Mapping and Diversity in Plants and Animals (19 papers)Genomics and Chromatin Dynamics (16 papers)

In The Last Decade

Tuuli Lappalainen

54 papers receiving 4.5k citations

Hit Papers

Genome-wide association studies201720262020202320212017250500750

Peers

Tuuli Lappalainen
Comparison fields: 5 of 160
  • Molecular Biology 2.3k
  • Genetics 2.1k
  • Cancer Research 449
  • Immunology 411
  • Infectious Diseases 371
Replace Yoichiro Kamatani with:
Yoichiro Kamatani Japan
Tomi Pastinen Canada
Noah Zaitlen United States
Yang Wu China
Olivier Delaneau Switzerland
Inkyung Jung South Korea
Colin Freeman United Kingdom
Takafumi Ishida Japan
Yukinori Okada Japan
Brendan Blumenstiel United States
Tuuli Lappalainen relative to Yoichiro Kamatani Japan Yoichiro Kamatani's profile →
Citations per field
00.5×2.6×
Yoichiro Kamatani · 1×
Citations per year

Countries citing papers authored by Tuuli Lappalainen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Tuuli Lappalainen

This figure shows the co-authorship network connecting the top 25 collaborators of Tuuli Lappalainen. A scholar is included among the top collaborators of Tuuli Lappalainen 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 Tuuli Lappalainen. Tuuli Lappalainen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 23
3 84
4 3
5 49
6 21
7 17
8
Genome-wide association studiesbreakdown →
825
9 348
10 3
11 64
12 174
13 119
14 74
15 38
16 201
17 1
18 36
19 1
20 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) and Genomics and Chromatin Dynamics (16 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.

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