Rami Mäkelä
- Cancer Research top 2%
- MicroRNA in disease regulation 9
- Cancer-related molecular mechanisms research 6
- Cancer, Lipids, and Metabolism 2
- Molecular Biology top 10%
- Circular RNAs in diseases 4
- RNA Interference and Gene Delivery 3
- Advanced biosensing and bioanalysis techniques 2
- Oncology top 10%
- HER2/EGFR in Cancer Research 3
- Biophysics top 10%
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- Prostate Cancer Treatment and Research 4
- Co-authors
- Olli KallioniemiMerja PeräläSuvi‐Katri LeivonenKristine Kleivi SahlbergPekka KohonenAnne‐Lise Børresen‐DaleJohn-Patrick MpindiVille Härmä
- Partner nations
- FinlandNorwayUnited Kingdom
In The Last Decade
Rami Mäkelä
24 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Cancer Research 799
- Molecular Biology 1.0k
- Oncology 309
- Biophysics 42
- Immunology and Allergy 38
Countries citing papers authored by Rami Mäkelä
This map shows the geographic impact of Rami Mäkelä'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 Rami Mäkelä with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rami Mäkelä more than expected).
Fields of papers citing papers by Rami Mäkelä
This network shows the impact of papers produced by Rami Mäkelä. 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 Rami Mäkelä. The network helps show where Rami Mäkelä may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rami Mäkelä, 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 | 2021 | 4 | |
| 2 | 2021 | 3 | |
| 3 | 2020 | 17 | |
| 4 | 2020 | 2 | |
| 5 | 2020 | 8 | |
| 6 | 2020 | 11 | |
| 7 | 2019 | 7 | |
| 8 | 2015 | 49 | |
| 9 | 2014 | 105 | |
| 10 | 2014 | 7 | |
| 11 | 2013 | 1 | |
| 12 | 2013 | 146 | |
| 13 | 2012 | 69 | |
| 14 | 2012 | 1 | |
| 15 | 2011 | 227 | |
| 16 | 2011 | 40 | |
| 17 | 2011 | 245 | |
| 18 | 2011 | 3 | |
| 19 | 2010 | 276 | |
| 20 | Systematic analysis of microRNAs targeting the androgen receptor in prostate cancer cells | 2010 | 8 |
About Rami Mäkelä
Rami Mäkelä is a scholar working on Cancer Research, Oncology, Immunology and Allergy, Molecular Biology and Urology, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (4 papers), Prostate Cancer Treatment and Research (4 papers), RNA Interference and Gene Delivery (3 papers), HER2/EGFR in Cancer Research (3 papers), Cancer, Lipids, and Metabolism (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Cancer Research (799 citations), Molecular Biology (1.0k citations), Oncology (309 citations), Biophysics (42 citations) and Immunology and Allergy (38 citations). Rami Mäkelä has collaborated with scholars based in Finland, Norway and United Kingdom. Frequent co-authors include Olli Kallioniemi, Merja Perälä, Suvi‐Katri Leivonen, Kristine Kleivi Sahlberg, Pekka Kohonen, Anne‐Lise Børresen‐Dale, John-Patrick Mpindi, Ville Härmä, Matthias Nees and Miriam R. R. Aure. Their work appears in journals such as PLoS ONE, Cancer Research, Molecular Oncology, Oncotarget and British Journal of Cancer.
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.