Jarno Mäkelä
Impact in
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
- Genetics top 10%
- Bacterial Genetics and Biotechnology
Papers in
-
- Gene Regulatory Network Analysis 6
- RNA and protein synthesis mechanisms 6
- DNA Repair Mechanisms 3
- Genomics and Chromatin Dynamics 3
- Genetics 14
- Bacterial Genetics and Biotechnology 14
- Co-authors
- David J. Sherratt (7 shared papers)André S. Ribeiro (9 shared papers)Stephan Uphoff (2 shared papers)Johannes N. Spelbrink (1 shared paper)Olli Yli‐Harja (5 shared papers)Jason Lloyd‐Price (3 shared papers)Dieter W. Heermann (1 shared paper)Séan Murray (1 shared paper)
- Journals
- eLife (4 papers)Nucleic Acids Research (2 papers)Bioinformatics (2 papers)Journal of Theoretical Biology (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesUnited KingdomFinland
In The Last Decade
Jarno Mäkelä
22 papers receiving 367 citations
Peers
Comparison fields: 5 of 57
- Biophysics 49
- Genetics 194
- Structural Biology 7
- Molecular Biology 324
- Ecology 94
Countries citing papers authored by Jarno Mäkelä
This map shows the geographic impact of Jarno 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 Jarno Mäkelä with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jarno Mäkelä more than expected).
Fields of papers citing papers by Jarno Mäkelä
This network shows the impact of papers produced by Jarno 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 Jarno Mäkelä. The network helps show where Jarno Mäkelä may publish in the future.
Co-authors
The 25 scholars most cited alongside Jarno 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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 71 | |
| 2 | 2012 | 52 | |
| 3 | 2018 | 51 | |
| 4 | 2011 | 26 | |
| 5 | 2020 | 26 | |
| 6 | 2015 | 24 | |
| 7 | 2019 | 23 | |
| 8 | 2013 | 22 | |
| 9 | 2021 | 17 | |
| 10 | 2019 | 14 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 13 | |
| 13 | 2017 | 11 | |
| 14 | 2012 | 7 | |
| 15 | 2012 | 5 | |
| 16 | 2011 | 3 | |
| 17 | 2024 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 2 | |
| 20 | Electrocardiogram classification — A human expert way | 2017 | 1 |
About Jarno Mäkelä
Jarno Mäkelä is a scholar working on Molecular Biology, Genetics, Ecology, Structural Biology and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 388 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (14 papers), Gene Regulatory Network Analysis (6 papers), Bacteriophages and microbial interactions (6 papers), RNA and protein synthesis mechanisms (6 papers), DNA Repair Mechanisms (3 papers), Genomics and Chromatin Dynamics (3 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Lung Cancer Research Studies (1 paper). The work is most often cited by research in Biophysics (49 citations), Genetics (194 citations), Structural Biology (7 citations), Molecular Biology (324 citations) and Ecology (94 citations). Jarno Mäkelä has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include David J. Sherratt, André S. Ribeiro, Stephan Uphoff, Johannes N. Spelbrink, Olli Yli‐Harja, Jason Lloyd‐Price, Dieter W. Heermann, Séan Murray, Andreas Hofmann and Samuel M. D. Oliveira. Their work appears in journals such as eLife, Nucleic Acids Research, Bioinformatics, Journal of Theoretical Biology and Nature Communications.
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.