Stefan Kesselheim

606 total citations
18 papers, 233 citations indexed

About

Stefan Kesselheim is a scholar working on Biomedical Engineering, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Stefan Kesselheim has authored 18 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 6 papers in Materials Chemistry and 5 papers in Molecular Biology. Recurrent topics in Stefan Kesselheim's work include Nanopore and Nanochannel Transport Studies (7 papers), Electrostatics and Colloid Interactions (4 papers) and Material Dynamics and Properties (3 papers). Stefan Kesselheim is often cited by papers focused on Nanopore and Nanochannel Transport Studies (7 papers), Electrostatics and Colloid Interactions (4 papers) and Material Dynamics and Properties (3 papers). Stefan Kesselheim collaborates with scholars based in Germany, United Kingdom and Australia. Stefan Kesselheim's co-authors include Christian Holm, Axel Arnold, Marcello Sega, Konrad Breitsprecher, Florian Fahrenberger, Olaf Lenz, Rajarshi Chakrabarti, Peter Košovan, Heike Lorenz and Till Siebenmorgen and has published in prestigious journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Stefan Kesselheim

15 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Kesselheim Germany 9 98 67 65 54 36 18 233
Jana Tóthová Slovakia 12 137 1.4× 120 1.8× 31 0.5× 15 0.3× 123 3.4× 61 442
Cory Hargus United States 6 92 0.9× 182 2.7× 56 0.9× 38 0.7× 12 0.3× 9 311
Flavio M. Mor Switzerland 5 123 1.3× 90 1.3× 36 0.6× 23 0.4× 26 0.7× 9 330
Vitalie Boţan Moldova 11 103 1.1× 139 2.1× 29 0.4× 22 0.4× 10 0.3× 14 314
P. Padilla Spain 10 214 2.2× 187 2.8× 20 0.3× 25 0.5× 10 0.3× 19 374
Maria Carolina Muniz United States 7 35 0.4× 243 3.6× 73 1.1× 18 0.3× 42 1.2× 7 322
Gérard Jannink France 6 119 1.2× 220 3.3× 78 1.2× 76 1.4× 11 0.3× 9 431
Claudio Zeni Italy 7 31 0.3× 224 3.3× 59 0.9× 10 0.2× 28 0.8× 10 295
Konstantin Herb Switzerland 10 75 0.8× 176 2.6× 52 0.8× 6 0.1× 51 1.4× 24 323
Julija Zavadlav Slovenia 17 137 1.4× 302 4.5× 257 4.0× 71 1.3× 23 0.6× 30 541

Countries citing papers authored by Stefan Kesselheim

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Kesselheim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan Kesselheim. 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 Stefan Kesselheim. The network helps show where Stefan Kesselheim may publish in the future.

Co-authorship network of co-authors of Stefan Kesselheim

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Kesselheim. A scholar is included among the top collaborators of Stefan Kesselheim 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 Stefan Kesselheim. Stefan Kesselheim 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.
Marti, Hanna, Michael Biggel, Stefan Kesselheim, et al.. (2025). Nanopore- and AI-empowered microbial viability inference. GigaScience. 14. 1 indexed citations
2.
Piraud, Marie, Stefan Kesselheim, Vincent Fortuin, et al.. (2025). OneProt: Towards multi-modal protein foundation models via latent space alignment of sequence, structure, binding sites and text encoders. PLoS Computational Biology. 21(11). e1013679–e1013679.
3.
Götz, Markus, et al.. (2024). Automatic heliostat learning for in situ concentrating solar power plant metrology with differentiable ray tracing. Nature Communications. 15(1). 6997–6997. 7 indexed citations
4.
Kesselheim, Stefan, et al.. (2024). In Situ Enhancement of Heliostat Calibration Using Differentiable Ray Tracing and Artificial Intelligence. SHILAP Revista de lepidopterología. 1.
5.
Siebenmorgen, Till, Filipe Menezes, Erinç Merdivan, et al.. (2024). MISATO: machine learning dataset of protein–ligand complexes for structure-based drug discovery. Nature Computational Science. 4(5). 367–378. 27 indexed citations
6.
Piraud, Marie, Andrés Camero, Markus Götz, et al.. (2023). Providing AI expertise as an infrastructure in academia. Patterns. 4(8). 100819–100819.
7.
Bazarova, Alina, Achim Basermann, Achim Streit, et al.. (2023). RNA contact prediction by data efficient deep learning. Communications Biology. 6(1). 913–913. 3 indexed citations
8.
Schlaich, Alexander, Sandeep Tyagi, Stefan Kesselheim, Marcello Sega, & Christian Holm. (2023). Renormalized charge and dielectric effects in colloidal interactions: a numerical solution of the nonlinear Poisson–Boltzmann equation for unknown boundary conditions. The European Physical Journal E. 46(9). 80–80. 3 indexed citations
9.
Lehmkuhl, Sören, et al.. (2022). Acquisitions with random shim values enhance AI-driven NMR shimming. Journal of Magnetic Resonance. 345. 107323–107323. 11 indexed citations
10.
Kesselheim, Stefan, et al.. (2016). A coarse-grained DNA model for the prediction of current signals in DNA translocation experiments. The Journal of Chemical Physics. 145(19). 194106–194106. 5 indexed citations
11.
Kesselheim, Stefan, et al.. (2014). Origin of Current Blockades in Nanopore Translocation Experiments. Physical Review Letters. 112(1). 18101–18101. 51 indexed citations
12.
Kesselheim, Stefan, et al.. (2014). Hydrodynamic interactions slow down crystallization of soft colloids. Soft Matter. 10(30). 5503–5509. 23 indexed citations
13.
Ertl, Thomas, et al.. (2014). Visual analysis for space–time aggregation of biomolecular simulations. Faraday Discussions. 169. 167–178. 8 indexed citations
14.
Arnold, Axel, Konrad Breitsprecher, Florian Fahrenberger, et al.. (2013). Efficient Algorithms for Electrostatic Interactions Including Dielectric Contrasts. Entropy. 15(11). 4569–4588. 37 indexed citations
15.
Chakrabarti, Rajarshi, Stefan Kesselheim, Peter Košovan, & Christian Holm. (2013). Tracer diffusion in a crowded cylindrical channel. Physical Review E. 87(6). 62709–62709. 16 indexed citations
16.
Kesselheim, Stefan, Marcello Sega, & Christian Holm. (2012). Effects of dielectric mismatch and chain flexibility on the translocation barriers of charged macromolecules through solid state nanopores. Soft Matter. 8(36). 9480–9480. 9 indexed citations
17.
Leonhard, Kai, et al.. (2010). A hybrid process for chiral separation of compound‐forming systems. Chirality. 23(2). 118–127. 20 indexed citations
18.
Kesselheim, Stefan, Marcello Sega, & Christian Holm. (2010). Applying to DNA translocation: Effect of dielectric boundaries. Computer Physics Communications. 182(1). 33–35. 12 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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