Markus Heinonen
Impact in
- Spectroscopy top 5%
- Analytical Chemistry and Chromatography
- Mass Spectrometry Techniques and Applications
-
- Computational Drug Discovery Methods
Papers in
-
- Gaussian Processes and Bayesian Inference 8
-
- Computational Drug Discovery Methods 7
- Co-authors
- Juho Rousu (11 shared papers)Huibin Shen (2 shared papers)Nicola Zamboni (2 shared papers)Harri J Lähdesmäki (9 shared papers)Pooja Suresh (1 shared paper)Tanja Kortemme (1 shared paper)Kyle A. Barlow (1 shared paper)Samuel Thompson (1 shared paper)
- Journals
- Bioinformatics (5 papers)Journal of Cheminformatics (3 papers)Journal of Computational Biology (1 paper)Biophysical Journal (1 paper)Vox Sanguinis (1 paper)
- Partner nations
- FinlandUnited StatesUnited Kingdom
In The Last Decade
Markus Heinonen
31 papers receiving 847 citations
Peers
Comparison fields: 5 of 102
- Spectroscopy 179
- Computational Theory and Mathematics 162
- Molecular Biology 620
- Immunology 79
- Radiology, Nuclear Medicine and Imaging 78
Countries citing papers authored by Markus Heinonen
This map shows the geographic impact of Markus Heinonen'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 Markus Heinonen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Heinonen more than expected).
Fields of papers citing papers by Markus Heinonen
This network shows the impact of papers produced by Markus Heinonen. 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 Markus Heinonen. The network helps show where Markus Heinonen may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Heinonen, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 179 | |
| 2 | 2012 | 148 | |
| 3 | 2008 | 110 | |
| 4 | 2021 | 95 | |
| 5 | 2018 | 60 | |
| 6 | 2014 | 30 | |
| 7 | 2013 | 28 | |
| 8 | 2011 | 27 | |
| 9 | 2020 | 25 | |
| 10 | 2016 | 22 | |
| 11 | 2022 | 21 | |
| 12 | Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo | 2016 | 19 |
| 13 | 2022 | 18 | |
| 14 | 2024 | 12 | |
| 15 | 2021 | 11 | |
| 16 | Ab initio prediction of molecular fragments from tandem mass spectrometry data | 2006 | 9 |
| 17 | 2023 | 7 | |
| 18 | 2010 | 6 | |
| 19 | 2018 | 5 | |
| 20 | 2018 | 5 |
About Markus Heinonen
Markus Heinonen is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Spectroscopy and Control and Systems Engineering, having authored 35 papers that have together received 862 indexed citations. Recurring topics across this work include Gaussian Processes and Bayesian Inference (8 papers), Computational Drug Discovery Methods (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Bioinformatics and Genomic Networks (4 papers), Analytical Chemistry and Chromatography (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Machine Learning in Materials Science (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Spectroscopy (179 citations), Computational Theory and Mathematics (162 citations), Molecular Biology (620 citations), Immunology (79 citations) and Radiology, Nuclear Medicine and Imaging (78 citations). Markus Heinonen has collaborated with scholars based in Finland, United States and United Kingdom. Frequent co-authors include Juho Rousu, Huibin Shen, Nicola Zamboni, Harri J Lähdesmäki, Pooja Suresh, Tanja Kortemme, Kyle A. Barlow, Samuel Thompson, James E. Lucas and Shane Ó Conchúir. Their work appears in journals such as Bioinformatics, Journal of Cheminformatics, Journal of Computational Biology, Biophysical Journal and Vox Sanguinis.
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.