Daniel Trzesniak
- Molecular Biology top 10%
- Atomic and Molecular Physics, and Optics top 5%
- Materials Chemistry top 10%
- Spectroscopy top 5%
- Biomedical Engineering
- Co-authors
- Wilfred F. van GunsterenRiccardo BaronAnna‐Pitschna E. KunzNico F. A. van der VegtPhilippe H. HünenbergerDirk BakowiesDaan P. GeerkeMika A. Kastenholz
- Topics
- Protein Structure and Dynamics (12 papers)Spectroscopy and Quantum Chemical Studies (6 papers)Thermodynamic properties of mixtures (3 papers)
- Journals
- Journal of the American Chemical SocietyAngewandte Chemie International EditionPhysical Chemistry Chemical Physics
- Partner nations
- SwitzerlandGermanyNetherlands
In The Last Decade
Daniel Trzesniak
16 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 1.2k
- Atomic and Molecular Physics, and Optics 483
- Materials Chemistry 445
- Spectroscopy 237
- Biomedical Engineering 159
Countries citing papers authored by Daniel Trzesniak
This map shows the geographic impact of Daniel Trzesniak'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 Daniel Trzesniak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Trzesniak more than expected).
Fields of papers citing papers by Daniel Trzesniak
This network shows the impact of papers produced by Daniel Trzesniak. 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 Daniel Trzesniak. The network helps show where Daniel Trzesniak may publish in the future.
Co-authorship network of co-authors of Daniel Trzesniak
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Trzesniak. A scholar is included among the top collaborators of Daniel Trzesniak 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 Daniel Trzesniak. Daniel Trzesniak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 91 | |
| 2 | 80 | |
| 3 | 89 | |
| 4 | 7 | |
| 5 | 26 | |
| 6 | 26 | |
| 7 | 4 | |
| 8 | 227 | |
| 9 | 29 | |
| 10 | 442 | |
| 11 | 4 | |
| 12 | The GROMOS software for biomolecular simulation: GROMOS05breakdown → | 512 |
| 13 | 37 | |
| 14 | 46 | |
| 15 | 82 | |
| 16 | 2 |
About Daniel Trzesniak
Daniel Trzesniak is a scholar working on Fluid Flow and Transfer Processes, Filtration and Separation and Molecular Biology, having authored 16 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Spectroscopy and Quantum Chemical Studies (6 papers) and Thermodynamic properties of mixtures (3 papers). The work is most often cited by research in Filtration and Separation (37 citations), Molecular Biology (1.2k citations) and Atomic and Molecular Physics, and Optics (483 citations). Daniel Trzesniak has collaborated with scholars based in Switzerland, Germany and Netherlands. Frequent co-authors include Wilfred F. van Gunsteren, Riccardo Baron, Anna‐Pitschna E. Kunz, Nico F. A. van der Vegt, Philippe H. Hünenberger, Dirk Bakowies, Daan P. Geerke, Mika A. Kastenholz, Chris Oostenbrink and Markus Christen. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Physical Chemistry Chemical Physics.
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.