Jan H. Meinke

752 total citations
18 papers, 255 citations indexed

About

Jan H. Meinke is a scholar working on Molecular Biology, Materials Chemistry and Condensed Matter Physics. According to data from OpenAlex, Jan H. Meinke has authored 18 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Materials Chemistry and 5 papers in Condensed Matter Physics. Recurrent topics in Jan H. Meinke's work include Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (5 papers) and Theoretical and Computational Physics (4 papers). Jan H. Meinke is often cited by papers focused on Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (5 papers) and Theoretical and Computational Physics (4 papers). Jan H. Meinke collaborates with scholars based in Germany, United States and Sweden. Jan H. Meinke's co-authors include Ulrich H. E. Hansmann, Sandipan Mohanty, Olav Zimmermann, Walter Nadler, P. M. Duxbury, Noemi Castelletti, Maria Vittoria Barbarossa, Thomas Lippert, Jan Fuhrmann and Stefan Krieg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and PLoS ONE.

In The Last Decade

Jan H. Meinke

17 papers receiving 251 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan H. Meinke Germany 10 144 83 46 38 33 18 255
Vittoria Sposini Germany 10 100 0.7× 58 0.7× 156 3.4× 25 0.7× 48 1.5× 13 337
Irwin M. Zaid United Kingdom 9 163 1.1× 38 0.5× 78 1.7× 46 1.2× 77 2.3× 12 305
Thomas Neusius Germany 6 172 1.2× 72 0.9× 54 1.2× 79 2.1× 33 1.0× 14 299
Jinfeng Zeng China 8 41 0.3× 48 0.6× 17 0.4× 53 1.4× 20 0.6× 18 249
Paweł Jakubczyk Poland 10 59 0.4× 11 0.1× 4 0.1× 50 1.3× 19 0.6× 51 353
Surl-Hee Ahn United States 9 275 1.9× 43 0.5× 2 0.0× 43 1.1× 10 0.3× 24 449
Otto Pulkkinen Finland 9 157 1.1× 9 0.1× 15 0.3× 14 0.4× 13 0.4× 16 251
Flavio M. Mor Switzerland 5 36 0.3× 90 1.1× 10 0.2× 137 3.6× 45 1.4× 9 330
Vlad Elgart United States 7 149 1.0× 10 0.1× 24 0.5× 30 0.8× 48 1.5× 10 335
M. K. Singh India 9 35 0.2× 56 0.7× 63 1.4× 13 0.3× 1 0.0× 19 327

Countries citing papers authored by Jan H. Meinke

Since Specialization
Citations

This map shows the geographic impact of Jan H. Meinke'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 H. Meinke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan H. Meinke more than expected).

Fields of papers citing papers by Jan H. Meinke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan H. Meinke. 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 H. Meinke. The network helps show where Jan H. Meinke may publish in the future.

Co-authorship network of co-authors of Jan H. Meinke

This figure shows the co-authorship network connecting the top 25 collaborators of Jan H. Meinke. A scholar is included among the top collaborators of Jan H. Meinke 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 H. Meinke. Jan H. Meinke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Meinke, Jan H., et al.. (2025). Effect of implementations of the N-body problem on the performance and portability across GPU vendors. Future Generation Computer Systems. 169. 107802–107802.
2.
Meinke, Jan H., et al.. (2024). Experience and analysis of scalable high-fidelity computational fluid dynamics on modular supercomputing architectures. The International Journal of High Performance Computing Applications. 39(3). 329–344. 2 indexed citations
3.
Barbarossa, Maria Vittoria, Jan Fuhrmann, Jan H. Meinke, et al.. (2020). Modeling the spread of COVID-19 in Germany: Early assessment and possible scenarios. PLoS ONE. 15(9). e0238559–e0238559. 54 indexed citations
4.
Krause, Dorian, Bernd Mohr, Wolfgang Frings, et al.. (2020). Developing Exascale Computing at JSC. 2 indexed citations
5.
Meinke, Jan H., et al.. (2019). Kokkos implementation of an Ewald Coulomb solver and analysis of performance portability. Journal of Parallel and Distributed Computing. 138. 48–54. 9 indexed citations
6.
Mohanty, Sandipan, Jan H. Meinke, & Olav Zimmermann. (2013). Folding of Top7 in unbiased all‐atom Monte Carlo simulations. Proteins Structure Function and Bioinformatics. 81(8). 1446–1456. 13 indexed citations
7.
Meinke, Jan H. & Ulrich H. E. Hansmann. (2009). Free‐energy‐driven folding and thermodynamics of the 67‐residue protein GS‐α3W—A large‐scale Monte Carlo study. Journal of Computational Chemistry. 30(11). 1642–1648. 15 indexed citations
8.
Meinke, Jan H., Sandipan Mohanty, Walter Nadler, Olav Zimmermann, & Ulrich H. E. Hansmann. (2008). Computer simulation of proteins: thermodynamics and structure prediction. The European Physical Journal D. 51(1). 33–40. 1 indexed citations
9.
Nadler, Walter, Jan H. Meinke, & Ulrich H. E. Hansmann. (2008). Folding proteins by first-passage-times-optimized replica exchange. Physical Review E. 78(6). 61905–61905. 36 indexed citations
10.
Mohanty, Sandipan, Jan H. Meinke, Olav Zimmermann, & Ulrich H. E. Hansmann. (2008). Simulation of Top7-CFr: A transient helix extension guides folding. Proceedings of the National Academy of Sciences. 105(23). 8004–8007. 36 indexed citations
11.
Meinke, Jan H. & Ulrich H. E. Hansmann. (2007). Protein simulations combining an all-atom force field with a Go term. Journal of Physics Condensed Matter. 19(28). 285215–285215. 12 indexed citations
12.
Meinke, Jan H. & Ulrich H. E. Hansmann. (2007). Aggregation of β-amyloid fragments. The Journal of Chemical Physics. 126(1). 14706–14706. 22 indexed citations
13.
Meinke, Jan H., Sandipan Mohanty, Frank Eisenmenger, & Ulrich H. E. Hansmann. (2007). SMMP v. 3.0—Simulating proteins and protein interactions in Python and Fortran. Computer Physics Communications. 178(6). 459–470. 19 indexed citations
14.
Zimmermann, Olav, Ulrich H. E. Hansmann, Walter Nadler, Jan H. Meinke, & Sandipan Mohanty. (2006). From Computational Biophysics to Systems Biology. 9 indexed citations
15.
Bowick, Mark J., et al.. (2005). Direct Visualization of Dislocation Dynamics in Grain Boundary Scars. Syracuse University Libraries (Syracuse University). 1 indexed citations
16.
Holm, Elizabeth A., Jan H. Meinke, E. S. McGarrity, & P. M. Duxbury. (2004). Critical Manifolds in Polycrystalline Grain Structures. Materials science forum. 467-470. 1039–1044. 3 indexed citations
17.
Meinke, Jan H., E. S. McGarrity, P. M. Duxbury, & Elizabeth A. Holm. (2003). Scaling laws for critical manifolds in polycrystalline materials. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(6). 66107–66107. 8 indexed citations
18.
Duxbury, P. M. & Jan H. Meinke. (2001). Ground state nonuniversality in the random-field Ising model. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 64(3). 36112–36112. 13 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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