Minna U. Kaikkonen
- Cancer Research top 1%
- Cancer-related molecular mechanisms research 31
- MicroRNA in disease regulation 12
- Molecular Biology top 1%
- RNA modifications and cancer 22
- RNA Research and Splicing 17
- Viral Infectious Diseases and Gene Expression in Insects 13
- Epigenetics and DNA Methylation 9
- Immunology top 2%
- Genetics top 5%
- Virus-based gene therapy research 18
- Genetic Associations and Epidemiology 9
- Aging top 10%
- Co-authors
- Christopher K. GlassSeppo Ylä‐HerttualaMichael T. LamChristopher BennerSven HeinzMichael G. RosenfeldCasey E. RomanoskiNathanael J. Spann
- Journals
- Nucleic Acids Research (8 papers)Scientific Reports (5 papers)Arteriosclerosis Thrombosis and Vascular Biology (5 papers)
- Partner nations
- FinlandUnited StatesGermany
In The Last Decade
Minna U. Kaikkonen
103 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Cancer Research 1.5k
- Molecular Biology 4.0k
- Immunology 1.0k
- Genetics 705
- Aging 33
Countries citing papers authored by Minna U. Kaikkonen
This map shows the geographic impact of Minna U. Kaikkonen'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 Minna U. Kaikkonen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minna U. Kaikkonen more than expected).
Fields of papers citing papers by Minna U. Kaikkonen
This network shows the impact of papers produced by Minna U. Kaikkonen. 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 Minna U. Kaikkonen. The network helps show where Minna U. Kaikkonen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Minna U. Kaikkonen, 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 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 9 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 14 | |
| 12 | 2022 | 12 | |
| 13 | 2022 | 13 | |
| 14 | 2020 | 44 | |
| 15 | 2020 | 32 | |
| 16 | 2020 | 3 | |
| 17 | 2020 | 19 | |
| 18 | 2019 | 30 | |
| 19 | 2018 | 121 | |
| 20 | 2012 | 37 |
About Minna U. Kaikkonen
Minna U. Kaikkonen is a scholar working on Cancer Research, Molecular Biology, Genetics, Biotechnology and Immunology, having authored 107 papers that have together received 5.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (31 papers), RNA modifications and cancer (22 papers), Virus-based gene therapy research (18 papers), RNA Research and Splicing (17 papers), Viral Infectious Diseases and Gene Expression in Insects (13 papers), MicroRNA in disease regulation (12 papers), Genetic Associations and Epidemiology (9 papers) and Epigenetics and DNA Methylation (9 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (4.0k citations), Immunology (1.0k citations), Genetics (705 citations) and Aging (33 citations). Minna U. Kaikkonen has collaborated with scholars based in Finland, United States and Germany. Frequent co-authors include Christopher K. Glass, Seppo Ylä‐Herttuala, Michael T. Lam, Christopher Benner, Sven Heinz, Michael G. Rosenfeld, Casey E. Romanoski, Nathanael J. Spann, Karmel A. Allison and Hanna P. Lesch. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, Arteriosclerosis Thrombosis and Vascular Biology, Cardiovascular Research and Gene Therapy.
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.