Jan-Hendrik Prinz
- Molecular Biology top 5%
- Materials Chemistry top 10%
- Spectroscopy top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Computational Theory and Mathematics top 2%
- Co-authors
- Frank NoéBettina G. KellerJohn D. ChoderaMartin HeldHao WuMarco SarichChristof SchütteChristoph Wehmeyer
- Topics
- Protein Structure and Dynamics (15 papers)Spectroscopy and Quantum Chemical Studies (10 papers)Mass Spectrometry Techniques and Applications (5 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Jan-Hendrik Prinz
17 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 1.8k
- Materials Chemistry 541
- Spectroscopy 390
- Atomic and Molecular Physics, and Optics 358
- Computational Theory and Mathematics 265
Countries citing papers authored by Jan-Hendrik Prinz
This map shows the geographic impact of Jan-Hendrik Prinz'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 Jan-Hendrik Prinz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan-Hendrik Prinz more than expected).
Fields of papers citing papers by Jan-Hendrik Prinz
This network shows the impact of papers produced by Jan-Hendrik Prinz. 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 Jan-Hendrik Prinz. The network helps show where Jan-Hendrik Prinz may publish in the future.
Co-authorship network of co-authors of Jan-Hendrik Prinz
This figure shows the co-authorship network connecting the top 25 collaborators of Jan-Hendrik Prinz. A scholar is included among the top collaborators of Jan-Hendrik Prinz 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 Jan-Hendrik Prinz. Jan-Hendrik Prinz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 39 | |
| 2 | 47 | |
| 3 | 46 | |
| 4 | PyEMMA 2: A Software Package for Estimation, Validation, and Analysis of Markov Modelsbreakdown → | 813 |
| 5 | 12 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 7 | |
| 9 | 14 | |
| 10 | Spectral rate theory for two-state kinetics | 1 |
| 11 | 63 | |
| 12 | 91 | |
| 13 | 26 | |
| 14 | 38 | |
| 15 | Markov models of molecular kinetics: Generation and validationbreakdown → | 926 |
| 16 | 46 | |
| 17 | 48 |
About Jan-Hendrik Prinz
Jan-Hendrik Prinz is a scholar working on Spectroscopy, Atomic and Molecular Physics, and Optics and Statistics, Probability and Uncertainty, having authored 17 papers that have together received 2.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (15 papers), Spectroscopy and Quantum Chemical Studies (10 papers) and Mass Spectrometry Techniques and Applications (5 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Spectroscopy (390 citations) and Computational Theory and Mathematics (265 citations). Jan-Hendrik Prinz has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Frank Noé, Bettina G. Keller, John D. Chodera, Martin Held, Hao Wu, Marco Sarich, Christof Schütte, Christoph Wehmeyer, Nuria Plattner and Fabian Paul. Their work appears in journals such as The Journal of Chemical Physics, Biophysical Journal 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.