Nils‐Ole Friedrich

567 total citations
10 papers, 396 citations indexed

About

Nils‐Ole Friedrich is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Nils‐Ole Friedrich has authored 10 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 4 papers in Pharmacology. Recurrent topics in Nils‐Ole Friedrich's work include Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (4 papers) and Microbial Natural Products and Biosynthesis (4 papers). Nils‐Ole Friedrich is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Protein Structure and Dynamics (4 papers) and Microbial Natural Products and Biosynthesis (4 papers). Nils‐Ole Friedrich collaborates with scholars based in Germany, Norway and France. Nils‐Ole Friedrich's co-authors include Johannes Kirchmair, Matthias Rarey, Kai Sommer, Florian Flachsenberg, Christina de Bruyn Kops, Ya Chen, Agnes Meyder, Conrad Stork, Martin Šícho and Stefan Bietz and has published in prestigious journals such as Bioinformatics, Journal of Chemical Information and Modeling and Frontiers in Chemistry.

In The Last Decade

Nils‐Ole Friedrich

10 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nils‐Ole Friedrich Germany	8	262	241	128	83	47	10	396
Pavel Sidorov France	11	308 1.2×	252 1.0×	201 1.6×	38 0.5×	18 0.4×	20	476
Sascha Urbaczek Germany	9	276 1.1×	272 1.1×	103 0.8×	70 0.8×	42 0.9×	12	393
Fanny Bonachéra France	11	161 0.6×	183 0.8×	120 0.9×	35 0.4×	52 1.1×	18	396
Kathrin Heikamp Germany	11	361 1.4×	278 1.2×	126 1.0×	54 0.7×	46 1.0×	17	455
Sebastian Rohrer Germany	7	285 1.1×	260 1.1×	131 1.0×	61 0.7×	27 0.6×	7	391
Ludovic Chaput France	9	207 0.8×	259 1.1×	65 0.5×	53 0.6×	24 0.5×	16	375
Robert J. Jilek Netherlands	5	218 0.8×	189 0.8×	55 0.4×	61 0.7×	48 1.0×	6	313
Markus Hartenfeller Switzerland	11	539 2.1×	452 1.9×	198 1.5×	125 1.5×	44 0.9×	15	685
Nicolas Froloff France	9	137 0.5×	239 1.0×	55 0.4×	31 0.4×	45 1.0×	12	377
Vinod Jani India	12	152 0.6×	172 0.7×	54 0.4×	70 0.8×	23 0.5×	35	427

Countries citing papers authored by Nils‐Ole Friedrich

Since Specialization

Citations

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

Fields of papers citing papers by Nils‐Ole Friedrich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nils‐Ole Friedrich. 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 Nils‐Ole Friedrich. The network helps show where Nils‐Ole Friedrich may publish in the future.

Co-authorship network of co-authors of Nils‐Ole Friedrich

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

All Works

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10 of 10 papers shown

Friedrich, Nils‐Ole, Florian Flachsenberg, Agnes Meyder, et al.. (2019). Conformator: A Novel Method for the Generation of Conformer Ensembles. Journal of Chemical Information and Modeling. 59(2). 731–742. 54 indexed citations

Chen, Ya, et al.. (2018). Characterization of the Chemical Space of Known and Readily Obtainable Natural Products. Journal of Chemical Information and Modeling. 58(8). 1518–1532. 84 indexed citations

Friedrich, Nils‐Ole, et al.. (2018). How Diverse Are the Protein-Bound Conformations of Small-Molecule Drugs and Cofactors?. Frontiers in Chemistry. 6. 68–68. 7 indexed citations

Meyder, Agnes, et al.. (2018). StructureProfiler: an all-in-one tool for 3D protein structure profiling. Bioinformatics. 35(5). 874–876. 6 indexed citations

Friedrich, Nils‐Ole, Christina de Bruyn Kops, Florian Flachsenberg, et al.. (2017). Benchmarking Commercial Conformer Ensemble Generators. Journal of Chemical Information and Modeling. 57(11). 2719–2728. 87 indexed citations

Kops, Christina de Bruyn, Nils‐Ole Friedrich, & Johannes Kirchmair. (2017). Alignment-Based Prediction of Sites of Metabolism. Journal of Chemical Information and Modeling. 57(6). 1258–1264. 10 indexed citations

Stork, Conrad, et al.. (2017). Hit Dexter: A Machine‐Learning Model for the Prediction of Frequent Hitters. ChemMedChem. 13(6). 564–571. 36 indexed citations

Friedrich, Nils‐Ole, Agnes Meyder, Christina de Bruyn Kops, et al.. (2017). High-Quality Dataset of Protein-Bound Ligand Conformations and Its Application to Benchmarking Conformer Ensemble Generators. Journal of Chemical Information and Modeling. 57(3). 529–539. 74 indexed citations

Sommer, Kai, et al.. (2016). UNICON: A Powerful and Easy-to-Use Compound Library Converter. Journal of Chemical Information and Modeling. 56(6). 1105–1111. 22 indexed citations

10.

Doss, Wahid, et al.. (2001). VFT‐Bauweise ‐ Entwicklung von Verbundfertigteilträgern im Brückenbau. Beton- und Stahlbetonbau. 96(4). 171–180. 16 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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