Till Siebenmorgen

504 total citations
11 papers, 283 citations indexed

About

Till Siebenmorgen is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Till Siebenmorgen has authored 11 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Materials Chemistry and 3 papers in Computational Theory and Mathematics. Recurrent topics in Till Siebenmorgen's work include Protein Structure and Dynamics (6 papers), Enzyme Structure and Function (5 papers) and Computational Drug Discovery Methods (3 papers). Till Siebenmorgen is often cited by papers focused on Protein Structure and Dynamics (6 papers), Enzyme Structure and Function (5 papers) and Computational Drug Discovery Methods (3 papers). Till Siebenmorgen collaborates with scholars based in Germany, Poland and United Kingdom. Till Siebenmorgen's co-authors include Martin Zacharias, Michael Sattler, Sergey A. Samsonov, Grzegorz M. Popowicz, Filipe Menezes, Kieran Didi, Radosław Kitel, Píetro Lió, Martyna Maszota‐Zieleniak and Erinç Merdivan and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Scientific Reports and Biophysical Journal.

In The Last Decade

Till Siebenmorgen

10 papers receiving 276 citations

Peers

Till Siebenmorgen

CTM

RNMI

João M. Martins Denmark

Kuan Pern Tan Singapore

Stefania Pfeiffer‐Marek Germany

Juan Pablo Arcon Argentina

Vladimiras Oleinikovas United Kingdom

Bradley M. Kearney United States

Joerg Bomke Germany

Arumay Pal India

Wen‐Ting Chu China

Zeynep Kurkcuoglu Türkiye

João M. Martins Denmark

Till Siebenmorgen

286 ×1.2

67 ×1.1

62 ×1.2

CTM

21 ×0.6

RNMI

18 ×0.5

Citations per year, relative to Till Siebenmorgen Till Siebenmorgen (= 1×) peers João M. Martins

Countries citing papers authored by Till Siebenmorgen

Since Specialization

Citations

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

Fields of papers citing papers by Till Siebenmorgen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Till Siebenmorgen

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

All Works

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11 of 11 papers shown

Du, Yu, et al.. (2025). Enhancing Catalytic Activity of a Baeyer–Villiger monooxygenase from Oceanicola granulosus: Simultaneous Engineering of the Distal Site and Active Site. Journal of Agricultural and Food Chemistry. 73(23). 14453–14466.

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

Svilenov, Hristo L., Florent Delhommel, Till Siebenmorgen, et al.. (2023). Extrinsic stabilization of antiviral ACE2-Fc fusion proteins targeting SARS-CoV-2. Communications Biology. 6(1). 386–386. 3 indexed citations

Schorpp, Kenji, Till Siebenmorgen, Kamyar Hadian, et al.. (2022). Small molecule mediated inhibition of protein cargo recognition by peroxisomal transport receptor PEX5 is toxic to Trypanosoma. Scientific Reports. 12(1). 14705–14705. 3 indexed citations

Siebenmorgen, Till, et al.. (2022). Explicit solvent repulsive scaling replica exchange molecular dynamics (RS‐REMD) in molecular modeling of protein‐glycosaminoglycan complexes. Journal of Computational Chemistry. 43(24). 1633–1640. 9 indexed citations

Maszota‐Zieleniak, Martyna, et al.. (2021). Evaluation of replica exchange with repulsive scaling approach for docking glycosaminoglycans. Journal of Computational Chemistry. 42(15). 1040–1053. 11 indexed citations

Siebenmorgen, Till & Martin Zacharias. (2020). Efficient Refinement and Free Energy Scoring of Predicted Protein–Protein Complexes Using Replica Exchange with Repulsive Scaling. Journal of Chemical Information and Modeling. 60(11). 5552–5562. 20 indexed citations

Siebenmorgen, Till, et al.. (2020). Prediction of protein–protein complexes using replica exchange with repulsive scaling. Journal of Computational Chemistry. 41(15). 1436–1447. 40 indexed citations

Siebenmorgen, Till & Martin Zacharias. (2019). Computational prediction of protein–protein binding affinities. Wiley Interdisciplinary Reviews Computational Molecular Science. 10(3). 113 indexed citations

10.

Siebenmorgen, Till & Martin Zacharias. (2019). Evaluation of Predicted Protein–Protein Complexes by Binding Free Energy Simulations. Journal of Chemical Theory and Computation. 15(3). 2071–2086. 43 indexed citations

11.

Siebenmorgen, Till & Martin Zacharias. (2017). Origin of Ion Specificity of Telomeric DNA G-Quadruplexes Investigated by Free-Energy Simulations. Biophysical Journal. 112(11). 2280–2290. 14 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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