Christoph Grebner

990 total citations
24 papers, 490 citations indexed

About

Christoph Grebner is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Christoph Grebner has authored 24 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Theory and Mathematics, 13 papers in Molecular Biology and 8 papers in Materials Chemistry. Recurrent topics in Christoph Grebner's work include Computational Drug Discovery Methods (16 papers), Protein Structure and Dynamics (9 papers) and Machine Learning in Materials Science (7 papers). Christoph Grebner is often cited by papers focused on Computational Drug Discovery Methods (16 papers), Protein Structure and Dynamics (9 papers) and Machine Learning in Materials Science (7 papers). Christoph Grebner collaborates with scholars based in Germany, Sweden and Spain. Christoph Grebner's co-authors include Hans Matter, Gerhard Heßler, Jonas Boström, Joakim Eriksson, Anders Hogner, Bernd Engels, K. A. P. Edman, Matthias Rarey, Alleyn T. Plowright and Anthony Nicholls and has published in prestigious journals such as Biophysical Journal, Journal of Medicinal Chemistry and Journal of Computational Chemistry.

In The Last Decade

Christoph Grebner

24 papers receiving 476 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christoph Grebner Germany 12 226 221 117 51 39 24 490
Pieter H. Bos Netherlands 19 146 0.6× 405 1.8× 96 0.8× 13 0.3× 18 0.5× 30 1.2k
Wolfgang Heiden Germany 12 123 0.5× 191 0.9× 89 0.8× 9 0.2× 37 0.9× 22 500
Anders Hogner Sweden 14 234 1.0× 583 2.6× 109 0.9× 68 1.3× 11 0.3× 19 1.2k
Jisoo Park United States 10 191 0.8× 357 1.6× 37 0.3× 17 0.3× 12 0.3× 17 599
Jan Byška Czechia 11 41 0.2× 347 1.6× 65 0.6× 23 0.5× 127 3.3× 36 524
Sabrina Jaeger-Honz Germany 6 380 1.7× 299 1.4× 252 2.2× 5 0.1× 27 0.7× 10 553
Hans‐Christian Ehrlich Germany 9 186 0.8× 383 1.7× 82 0.7× 42 0.8× 33 0.8× 11 603
Bernd N. M. van Buuren Sweden 8 57 0.3× 537 2.4× 82 0.7× 32 0.6× 14 0.4× 11 714
Chloé‐Agathe Azencott France 11 220 1.0× 440 2.0× 144 1.2× 242 4.7× 20 0.5× 24 785
Antonio de la Vega de León Spain 16 176 0.8× 220 1.0× 82 0.7× 109 2.1× 12 0.3× 44 756

Countries citing papers authored by Christoph Grebner

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Grebner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Grebner

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

All Works

20 of 20 papers shown
1.
Grebner, Christoph, et al.. (2024). Modern machine‐learning for binding affinity estimation of protein–ligand complexes: Progress, opportunities, and challenges. Wiley Interdisciplinary Reviews Computational Molecular Science. 14(3). 8 indexed citations
2.
Grebner, Christoph, et al.. (2024). Task‐Similarity is a Crucial Factor for Few‐Shot Meta‐Learning of Structure‐Activity Relationships. ChemBioChem. 25(19). e202400095–e202400095. 1 indexed citations
3.
Langevin, Maxime, Christoph Grebner, Stefan Güssregen, et al.. (2023). Impact of Applicability Domains to Generative Artificial Intelligence. ACS Omega. 8(25). 23148–23167. 13 indexed citations
4.
Matter, Hans, et al.. (2022). Optimizing interactions to protein binding sites by integrating docking-scoring strategies into generative AI methods. Frontiers in Chemistry. 10. 1012507–1012507. 9 indexed citations
5.
Matter, Hans, et al.. (2022). Interpretation of Structure–Activity Relationships in Real-World Drug Design Data Sets Using Explainable Artificial Intelligence. Journal of Chemical Information and Modeling. 62(3). 447–462. 38 indexed citations
6.
Grebner, Christoph, Hans Matter, & Gerhard Heßler. (2021). Artificial Intelligence in Compound Design. Methods in molecular biology. 2390. 349–382. 6 indexed citations
7.
Grebner, Christoph, Hans Matter, Alleyn T. Plowright, & Gerhard Heßler. (2020). Automated De Novo Design in Medicinal Chemistry: Which Types of Chemistry Does a Generative Neural Network Learn?. Journal of Medicinal Chemistry. 63(16). 8809–8823. 32 indexed citations
8.
Grebner, Christoph, et al.. (2019). Virtual Screening in the Cloud: How Big Is Big Enough?. Journal of Chemical Information and Modeling. 60(9). 4274–4282. 48 indexed citations
9.
Grebner, Christoph, Daniel Lecina, V. Gil, et al.. (2017). Exploring Binding Mechanisms in Nuclear Hormone Receptors by Monte Carlo and X-ray-derived Motions. Biophysical Journal. 112(6). 1147–1156. 18 indexed citations
10.
Grebner, Christoph, Jessica Iegre, Johan Ulander, et al.. (2016). Binding Mode and Induced Fit Predictions for Prospective Computational Drug Design. Journal of Chemical Information and Modeling. 56(4). 774–787. 26 indexed citations
11.
Gil, V., Daniel Lecina, Christoph Grebner, & Vı́ctor Guallar. (2016). Enhancing backbone sampling in Monte Carlo simulations using internal coordinates normal mode analysis. Bioorganic & Medicinal Chemistry. 24(20). 4855–4866. 1 indexed citations
12.
Grebner, Christoph, et al.. (2016). 3D-Lab: A Collaborative Web-Based Platform for Molecular Modeling. Future Medicinal Chemistry. 8(14). 1739–1752. 23 indexed citations
13.
Edman, K. A. P., Ali Hosseini, Magnus Bjursell, et al.. (2015). Ligand Binding Mechanism in Steroid Receptors: From Conserved Plasticity to Differential Evolutionary Constraints. Structure. 23(12). 2280–2290. 83 indexed citations
14.
Grebner, Christoph, et al.. (2015). Molecular Rift: Virtual Reality for Drug Designers. Journal of Chemical Information and Modeling. 55(11). 2475–2484. 84 indexed citations
15.
Grebner, Christoph, et al.. (2013). PathOpt—A global transition state search approach: Outline of algorithm. Journal of Computational Chemistry. 34(21). 1810–1818. 7 indexed citations
16.
Grebner, Christoph, Stephan Niebling, Carsten Schmuck, Sebastian Schlücker, & Bernd Engels. (2013). Force field-based conformational searches: efficiency and performance for peptide receptor complexes. Molecular Physics. 111(16-17). 2489–2500. 3 indexed citations
17.
Schmidt, Thomas, et al.. (2012). QM/MM Investigations Of Organic Chemistry Oriented Questions. Topics in current chemistry. 351. 25–101. 3 indexed citations
18.
Grebner, Christoph, Johannes Kästner, Walter Thiel, & Bernd Engels. (2012). A New Tabu-Search-Based Algorithm for Solvation of Proteins. Journal of Chemical Theory and Computation. 9(1). 814–821. 10 indexed citations
19.
Grebner, Christoph, et al.. (2012). Tabu search based global optimization algorithms for problems in computational chemistry. Journal of Cheminformatics. 4(S1). 2 indexed citations
20.
Grebner, Christoph, et al.. (2011). Efficiency of tabu‐search‐based conformational search algorithms. Journal of Computational Chemistry. 32(10). 2245–2253. 24 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Pieter H. Bos Breakdown of academic impact, for papers by Wolfgang Heiden Breakdown of academic impact, for papers by Anders Hogner Breakdown of academic impact, for papers by Jisoo Park Breakdown of academic impact, for papers by Jan Byška Breakdown of academic impact, for papers by Sabrina Jaeger-Honz Breakdown of academic impact, for papers by Hans‐Christian Ehrlich Breakdown of academic impact, for papers by Bernd N. M. van Buuren Breakdown of academic impact, for papers by Chloé‐Agathe Azencott Breakdown of academic impact, for papers by Antonio de la Vega de León
Rankless by CCL
2026