Ilkka Lappalainen

1.9k citations
15 papers · 689 indexed · h-index 12
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research 3
    • Genomic variations and chromosomal abnormalities 2
    • Glycosylation and Glycoproteins Research 3
    • Genomics and Phylogenetic Studies 3
    • RNA modifications and cancer 2
    • Gene expression and cancer classification 2
    • Chronic Lymphocytic Leukemia Research 3
    • Genomic variations and chromosomal abnormalities 2
    • Immunodeficiency and Autoimmune Disorders 3
    • Monoclonal and Polyclonal Antibodies Research 2

Ilkka Lappalainen

15 papers receiving 674 citations

Peers

Ilkka Lappalainen
Comparison fields: 5 of 71
  • Genetics 239
  • Molecular Biology 463
  • Genetics 65
  • Immunology 123
  • Hematology 49
Replace Ulrich Kruse with:
Ulrich Kruse Germany
E. P. Kopantzev Russia
Hsuan-Ting Huang United States
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Ilkka Lappalainen relative to Ulrich Kruse Germany Ulrich Kruse's profile →
Citations per field
00.5×2.7×
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Citations per year

Countries citing papers authored by Ilkka Lappalainen

Since Specialization
Citations

This map shows the geographic impact of Ilkka 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 Ilkka Lappalainen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilkka Lappalainen more than expected).

Fields of papers citing papers by Ilkka Lappalainen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ilkka 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 Ilkka Lappalainen. The network helps show where Ilkka Lappalainen may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Ilkka Lappalainen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ilkka Lappalainen Line = papers co-authored together Ilkka Lappalainen links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20176
2 2012174
3 200914
4 200851
5 200747
6 200630
7 200496
8 200210
9 200254
10 200019
11 200058
12 200028
13 19976
14 199737
15 199659

About Ilkka Lappalainen

Ilkka Lappalainen is a scholar working on Health Informatics, Immunology, Genetics, Endocrinology and Immunology and Allergy, having authored 15 papers that have together received 689 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Genomics and Phylogenetic Studies (3 papers), Genomic variations and chromosomal abnormalities (2 papers), RNA modifications and cancer (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Genetics (239 citations), Molecular Biology (463 citations), Genetics (65 citations), Immunology (123 citations) and Hematology (49 citations). Ilkka Lappalainen has collaborated with scholars based in Finland, United Kingdom and Sweden. Frequent co-authors include Mauno Vihinen, Jane Clarke, Juha Ollila, Tapani Reinikainen, Janne Kerovuo, Bairong Shen, Janita Thusberg, Chao Chen, George Zhou and John Garner. Their work appears in journals such as Journal of Biological Chemistry, Nucleic Acids Research, Biochemical and Biophysical Research Communications, Human Mutation and Protein Engineering Design and Selection.

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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