Jan-Hendrik Prinz

3.3k total citations · 2 hit papers
17 papers, 2.2k citations indexed

About

Jan-Hendrik Prinz is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Spectroscopy. According to data from OpenAlex, Jan-Hendrik Prinz has authored 17 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Atomic and Molecular Physics, and Optics and 7 papers in Spectroscopy. Recurrent topics in Jan-Hendrik Prinz's work include Protein Structure and Dynamics (15 papers), Spectroscopy and Quantum Chemical Studies (10 papers) and Mass Spectrometry Techniques and Applications (5 papers). Jan-Hendrik Prinz is often cited by papers focused on Protein Structure and Dynamics (15 papers), Spectroscopy and Quantum Chemical Studies (10 papers) and Mass Spectrometry Techniques and Applications (5 papers). Jan-Hendrik Prinz collaborates with scholars based in Germany, United States and Netherlands. Jan-Hendrik Prinz's co-authors include Frank Noé, Bettina G. Keller, John D. Chodera, Martin Held, Hao Wu, Marco Sarich, Christof Schütte, Christoph Wehmeyer, Moritz Hoffmann and Fabian Paul and has published in prestigious journals such as The Journal of Chemical Physics, Biophysical Journal and Physical Chemistry Chemical Physics.

In The Last Decade

Jan-Hendrik Prinz

17 papers receiving 2.2k citations

Hit Papers

Markov models of molecular kinetics: Generation and valid... 2011 2026 2016 2021 2011 2015 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Markov models of molecular kinetics: Generation and validation
    2011 926 citations Jan-Hendrik Prinz, Hao Wu et al. The Journal of Chemical Physics profile →
  2. PyEMMA 2: A Software Package for Estimation, Validation, and Analysis of Markov Models
    2015 813 citations Martin K. Scherer, Fabian Paul et al. Journal of Chemical Theory and Computation profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jan-Hendrik Prinz Germany 13 1.8k 541 390 358 265 17 2.2k
Fabian Paul Germany 14 1.6k 0.9× 485 0.9× 306 0.8× 219 0.6× 285 1.1× 17 2.0k
Guillermo Pérez‐Hernández Germany 13 1.5k 0.9× 445 0.8× 298 0.8× 254 0.7× 210 0.8× 22 2.0k
Bettina G. Keller Germany 22 2.0k 1.1× 507 0.9× 366 0.9× 426 1.2× 259 1.0× 63 2.6k
Christoph Wehmeyer Germany 12 1.3k 0.8× 646 1.2× 219 0.6× 203 0.6× 313 1.2× 15 1.9k
Nicolae‐Viorel Buchete Ireland 25 1.9k 1.1× 641 1.2× 390 1.0× 397 1.1× 226 0.9× 49 2.4k
Oren M. Becker Israel 25 1.4k 0.8× 489 0.9× 213 0.5× 498 1.4× 250 0.9× 52 2.1k
Nuria Plattner Switzerland 14 1.4k 0.8× 376 0.7× 262 0.7× 284 0.8× 253 1.0× 21 1.8k
Byungchan Kim South Korea 15 1.5k 0.9× 423 0.8× 276 0.7× 449 1.3× 440 1.7× 72 2.2k
Henrik Bohr Denmark 27 1.3k 0.8× 428 0.8× 370 0.9× 394 1.1× 154 0.6× 122 2.6k

Countries citing papers authored by Jan-Hendrik Prinz

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

17 of 17 papers shown
1.
Swenson, David W., Jan-Hendrik Prinz, Frank Noé, John D. Chodera, & Peter G. Bolhuis. (2018). OpenPathSampling: A Python Framework for Path Sampling Simulations. 2. Building and Customizing Path Ensembles and Sample Schemes. Journal of Chemical Theory and Computation. 15(2). 837–856. 39 indexed citations
2.
Swenson, David W., Jan-Hendrik Prinz, Frank Noé, John D. Chodera, & Peter G. Bolhuis. (2018). OpenPathSampling: A Python Framework for Path Sampling Simulations. 1. Basics. Journal of Chemical Theory and Computation. 15(2). 813–836. 47 indexed citations
3.
Nüske, Feliks, Hao Wu, Jan-Hendrik Prinz, et al.. (2017). Markov state models from short non-equilibrium simulations—Analysis and correction of estimation bias. The Journal of Chemical Physics. 146(9). 46 indexed citations
4.
Scherer, Martin K., Fabian Paul, Guillermo Pérez‐Hernández, et al.. (2015). PyEMMA 2: A Software Package for Estimation, Validation, and Analysis of Markov Models. Journal of Chemical Theory and Computation. 11(11). 5525–5542. 813 indexed citations breakdown →
5.
Wu, Hao, Jan-Hendrik Prinz, & Frank Noé. (2015). Projected metastable Markov processes and their estimation with observable operator models. The Journal of Chemical Physics. 143(14). 144101–144101. 12 indexed citations
6.
Zheng, Yi, Benjamin Lindner, Jan-Hendrik Prinz, Frank Noé, & Jeremy C. Smith. (2013). Dynamic neutron scattering from conformational dynamics. II. Application using molecular dynamics simulation and Markov modeling. The Journal of Chemical Physics. 139(17). 175102–175102. 14 indexed citations
7.
Noé, Frank & Jan-Hendrik Prinz. (2013). Analysis of Markov Models. Advances in experimental medicine and biology. 797. 75–90. 5 indexed citations
8.
Prinz, Jan-Hendrik, John D. Chodera, & Frank Noé. (2013). Estimation and Validation of Markov Models. Advances in experimental medicine and biology. 797. 45–60. 3 indexed citations
9.
Sarich, Marco, Jan-Hendrik Prinz, & Christof Schütte. (2013). Markov Model Theory. Advances in experimental medicine and biology. 797. 23–44. 7 indexed citations
10.
Prinz, Jan-Hendrik, John D. Chodera, & Frank Noé. (2012). Spectral rate theory for two-state kinetics. arXiv (Cornell University). 1 indexed citations
11.
Held, Martin, Philipp Metzner, Jan-Hendrik Prinz, & Frank Noé. (2011). Mechanisms of Protein-Ligand Association and Its Modulation by Protein Mutations. Biophysical Journal. 100(3). 701–710. 63 indexed citations
12.
Prinz, Jan-Hendrik, Hao Wu, Marco Sarich, et al.. (2011). Markov models of molecular kinetics: Generation and validation. The Journal of Chemical Physics. 134(17). 174105–174105. 926 indexed citations breakdown →
13.
Prinz, Jan-Hendrik, John D. Chodera, Vijay S. Pande, et al.. (2011). Optimal use of data in parallel tempering simulations for the construction of discrete-state Markov models of biomolecular dynamics. The Journal of Chemical Physics. 134(24). 244108–244108. 38 indexed citations
14.
Prinz, Jan-Hendrik, Martin Held, Jeremy C. Smith, & Frank Noé. (2011). Efficient Computation, Sensitivity, and Error Analysis of Committor Probabilities for Complex Dynamical Processes. Multiscale Modeling and Simulation. 9(2). 545–567. 26 indexed citations
15.
Prinz, Jan-Hendrik, Bettina G. Keller, & Frank Noé. (2011). Probing molecular kinetics with Markov models: metastable states, transition pathways and spectroscopic observables. Physical Chemistry Chemical Physics. 13(38). 16912–16912. 91 indexed citations
16.
Chodera, John D., William C. Swope, Frank Noé, et al.. (2011). Dynamical reweighting: Improved estimates of dynamical properties from simulations at multiple temperatures. The Journal of Chemical Physics. 134(24). 46 indexed citations
17.
Keller, Bettina G., Jan-Hendrik Prinz, & Frank Noé. (2011). Markov models and dynamical fingerprints: Unraveling the complexity of molecular kinetics. Chemical Physics. 396. 92–107. 48 indexed citations

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.

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