Mauno Vihinen
- Genetics top 0.2%
- Chronic Lymphocytic Leukemia Research 50
- Genomics and Rare Diseases 47
- Immunology top 0.5%
- Immunodeficiency and Autoimmune Disorders 63
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research 50
- Genomics and Rare Diseases 47
- Molecular Biology top 0.5%
- Genomics and Phylogenetic Studies 48
- RNA and protein synthesis mechanisms 36
- Machine Learning in Bioinformatics 32
- Protein Structure and Dynamics 31
- Biotechnology top 0.5%
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- Enzyme Structure and Function 26
- Co-authors
- Smith RjhJanita ThusbergAbhishek NiroulaSofia KhanJouni VäliahoCsaba OrtutayPentti RiikonenJuha Ollila
- Cited by
- GeneticsImmunology
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (9 papers)
- Partner nations
- FinlandSwedenUnited States
In The Last Decade
Mauno Vihinen
272 papers receiving 10.4k citations
Peers
Comparison fields: 5 of 182
- Genetics 1.9k
- Immunology 2.6k
- Genetics 2.6k
- Molecular Biology 6.3k
- Biotechnology 572
Countries citing papers authored by Mauno Vihinen
This map shows the geographic impact of Mauno Vihinen'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 Mauno Vihinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mauno Vihinen more than expected).
Fields of papers citing papers by Mauno Vihinen
This network shows the impact of papers produced by Mauno Vihinen. 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 Mauno Vihinen. The network helps show where Mauno Vihinen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mauno Vihinen, 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 | 2023 | 5 | |
| 3 | 2022 | 30 | |
| 4 | 2021 | 49 | |
| 5 | 2020 | 2 | |
| 6 | 2019 | 39 | |
| 7 | 2019 | 2 | |
| 8 | 2017 | 3 | |
| 9 | 2013 | 8 | |
| 10 | 2010 | 23 | |
| 11 | 2009 | 15 | |
| 12 | 2009 | 45 | |
| 13 | 2008 | 24 | |
| 14 | 2007 | 10 | |
| 15 | 2007 | 9 | |
| 16 | 2004 | 96 | |
| 17 | X-linked agammaglobulinemia: lack of mature B lineage cells caused by mutations in the Btk kinase | 1998 | 1 |
| 18 | Molecular/structural characterization of novel mutations and identification of novel polymorphisms in the Bruton's tyrosine kinase (Btk) gene from patients with X-linked agammaglobulinemia (XLA). | 1997 | 2 |
| 19 | Immunodeficiency mutation databases | 1996 | 3 |
| 20 | 1989 | 352 |
About Mauno Vihinen
Mauno Vihinen is a scholar working on Genetics, Immunology and Genetics, having authored 273 papers that have together received 10.6k indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (63 papers), Chronic Lymphocytic Leukemia Research (50 papers), Genomics and Phylogenetic Studies (48 papers), Genomics and Rare Diseases (47 papers), RNA and protein synthesis mechanisms (36 papers), Machine Learning in Bioinformatics (32 papers), Protein Structure and Dynamics (31 papers) and Enzyme Structure and Function (26 papers). The work is most often cited by research in Genetics (1.9k citations), Immunology (2.6k citations) and Genetics (2.6k citations). Mauno Vihinen has collaborated with scholars based in Finland, Sweden and United States. Frequent co-authors include Smith Rjh, Janita Thusberg, Abhishek Niroula, Sofia Khan, Jouni Väliaho, Csaba Ortutay, Pentti Riikonen, Juha Ollila, Bairong Shen and Beston F. Nore. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.