Artur Meller
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Infectious Diseases
- Materials Chemistry
- Spectroscopy
- Co-authors
- Gregory R. BowmanMichael D. WardJonathan BorowskyMaxwell I. ZimmermanJeffrey M. LotthammerSoumendranath BhakatJustin R. PorterJuan Lavista Ferres
- Topics
- Protein Structure and Dynamics (8 papers)Cardiomyopathy and Myosin Studies (4 papers)Computational Drug Discovery Methods (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesIrelandSouth Korea
In The Last Decade
Artur Meller
13 papers receiving 446 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 345
- Computational Theory and Mathematics 144
- Infectious Diseases 90
- Materials Chemistry 78
- Spectroscopy 32
Countries citing papers authored by Artur Meller
This map shows the geographic impact of Artur Meller'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 Artur Meller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Artur Meller more than expected).
Fields of papers citing papers by Artur Meller
This network shows the impact of papers produced by Artur Meller. 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 Artur Meller. The network helps show where Artur Meller may publish in the future.
Co-authorship network of co-authors of Artur Meller
This figure shows the co-authorship network connecting the top 25 collaborators of Artur Meller. A scholar is included among the top collaborators of Artur Meller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Artur Meller. Artur Meller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 14 | |
| 5 | 86 | |
| 6 | 60 | |
| 7 | 18 | |
| 8 | 13 | |
| 9 | 11 | |
| 10 | 167 | |
| 11 | 45 | |
| 12 | 21 | |
| 13 | 8 | |
| 14 | Dynamics of a statically unbalanced rotor mounted in bearings | 0 |
About Artur Meller
Artur Meller is a scholar working on Computational Theory and Mathematics, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 14 papers that have together received 451 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Cardiomyopathy and Myosin Studies (4 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Computational Theory and Mathematics (144 citations), Molecular Biology (345 citations) and Infectious Diseases (90 citations). Artur Meller has collaborated with scholars based in United States, Ireland and South Korea. Frequent co-authors include Gregory R. Bowman, Michael D. Ward, Jonathan Borowsky, Maxwell I. Zimmerman, Jeffrey M. Lotthammer, Soumendranath Bhakat, Justin R. Porter, Juan Lavista Ferres, Meghana Kshirsagar and Felipe Oviedo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.