Christopher Pfleger

880 total citations
18 papers, 583 citations indexed

About

Christopher Pfleger is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Christopher Pfleger has authored 18 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 5 papers in Materials Chemistry. Recurrent topics in Christopher Pfleger's work include Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (6 papers) and Enzyme Structure and Function (4 papers). Christopher Pfleger is often cited by papers focused on Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (6 papers) and Enzyme Structure and Function (4 papers). Christopher Pfleger collaborates with scholars based in Germany, United States and United Kingdom. Christopher Pfleger's co-authors include Holger Gohlke, Prakash Chandra Rathi, Sebastian Radestock, D. Krüger, Stefania Pfeiffer‐Marek, A. Metz, Karl‐Heinz Baringhaus, Elena Yu. Schmidt, Jonathan W. Essex and Katrin Spiegel and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Scientific Reports.

In The Last Decade

Christopher Pfleger

18 papers receiving 580 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Pfleger Germany 14 439 138 106 47 45 18 583
Eva Šebestová Czechia 13 722 1.6× 31 0.2× 180 1.7× 83 1.8× 45 1.0× 14 861
Bruce J. Wittmann United States 8 641 1.5× 63 0.5× 66 0.6× 32 0.7× 77 1.7× 11 761
Zachary Wu United States 5 701 1.6× 91 0.7× 66 0.6× 35 0.7× 110 2.4× 6 852
Yakov Kipnis United States 12 582 1.3× 26 0.2× 135 1.3× 37 0.8× 86 1.9× 15 733
Sebastian Radestock Germany 10 534 1.2× 82 0.6× 165 1.6× 50 1.1× 29 0.6× 12 699
Ross Thyer United States 11 457 1.0× 26 0.2× 52 0.5× 25 0.5× 56 1.2× 16 628
Rosalie Lipsh‐Sokolik Israel 9 405 0.9× 16 0.1× 96 0.9× 49 1.0× 35 0.8× 12 501
Patrick C. Cirino United States 18 1.0k 2.3× 47 0.3× 102 1.0× 82 1.7× 119 2.6× 28 1.3k
Robert J. Floor Netherlands 9 639 1.5× 17 0.1× 142 1.3× 99 2.1× 58 1.3× 10 710
Shabbir Ahmad United States 13 399 0.9× 16 0.1× 118 1.1× 13 0.3× 47 1.0× 20 665

Countries citing papers authored by Christopher Pfleger

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Pfleger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Pfleger

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Pfleger. A scholar is included among the top collaborators of Christopher Pfleger 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 Christopher Pfleger. Christopher Pfleger 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.
Pérez-García, Pablo, Elisa Costanzi, Christel Schmeisser, et al.. (2023). The metagenome‐derived esterase PET40 is highly promiscuous and hydrolyses polyethylene terephthalate ( PET ). FEBS Journal. 291(1). 70–91. 22 indexed citations
2.
Marasco, Ramona, Marco Fusi, Cristina Coscolín, et al.. (2023). Enzyme adaptation to habitat thermal legacy shapes the thermal plasticity of marine microbiomes. Nature Communications. 14(1). 1045–1045. 17 indexed citations
3.
Sala, Giuseppina La, Christopher Pfleger, Helena Käck, et al.. (2023). Combining structural and coevolution information to unveil allosteric sites. Chemical Science. 14(25). 7057–7067. 13 indexed citations
4.
Pérez-García, Pablo, Jennifer Chow, Elisa Costanzi, et al.. (2023). An archaeal lid-containing feruloyl esterase degrades polyethylene terephthalate. Communications Chemistry. 6(1). 193–193. 38 indexed citations
5.
Yüksel, Sezin, Michele Bonus, Tina Schwabe, et al.. (2022). Uncoupling of Voltage- and Ligand-Induced Activation in HCN2 Channels by Glycine Inserts. Frontiers in Physiology. 13. 895324–895324. 1 indexed citations
6.
Pfleger, Christopher, et al.. (2022). Physiological, Biochemical, and Structural Bioinformatic Analysis of the Multiple Inositol Dehydrogenases from Corynebacterium glutamicum. Microbiology Spectrum. 10(5). e0195022–e0195022. 7 indexed citations
7.
Pfleger, Christopher, et al.. (2021). Allosteric signaling in C-linker and cyclic nucleotide-binding domain of HCN2 channels. Biophysical Journal. 120(5). 950–963. 10 indexed citations
8.
Wifling, David, Christopher Pfleger, Jonas Kaindl, et al.. (2019). Basal Histamine H4 Receptor Activation: Agonist Mimicry by the Diphenylalanine Motif. Chemistry - A European Journal. 25(64). 14613–14624. 7 indexed citations
9.
Milić, D., et al.. (2018). Recognition motif and mechanism of ripening inhibitory peptides in plant hormone receptor ETR1. Scientific Reports. 8(1). 3890–3890. 25 indexed citations
10.
Pfleger, Christopher, et al.. (2018). Converging a Knowledge-Based Scoring Function: DrugScore2018. Journal of Chemical Information and Modeling. 59(1). 509–521. 50 indexed citations
11.
Pfleger, Christopher, et al.. (2017). Rigidity theory for biomolecules: concepts, software, and applications. Wiley Interdisciplinary Reviews Computational Molecular Science. 7(4). 29 indexed citations
12.
Pfleger, Christopher, et al.. (2017). Ensemble- and Rigidity Theory-Based Perturbation Approach To Analyze Dynamic Allostery. Journal of Chemical Theory and Computation. 13(12). 6343–6357. 24 indexed citations
13.
Pfleger, Christopher & Holger Gohlke. (2013). Efficient and Robust Analysis of Biomacromolecular Flexibility Using Ensembles of Network Topologies Based on Fuzzy Noncovalent Constraints. Structure. 21(10). 1725–1734. 18 indexed citations
14.
Pfleger, Christopher, et al.. (2013). Constraint Network Analysis (CNA): A Python Software Package for Efficiently Linking Biomacromolecular Structure, Flexibility, (Thermo-)Stability, and Function. Journal of Chemical Information and Modeling. 53(4). 1007–1015. 69 indexed citations
15.
Krüger, D., Prakash Chandra Rathi, Christopher Pfleger, & Holger Gohlke. (2013). CNA web server: rigidity theory-based thermal unfolding simulations of proteins for linking structure, (thermo-)stability, and function. Nucleic Acids Research. 41(W1). W340–W348. 72 indexed citations
16.
Pfleger, Christopher, Sebastian Radestock, Elena Yu. Schmidt, & Holger Gohlke. (2012). Global and local indices for characterizing biomolecular flexibility and rigidity. Journal of Computational Chemistry. 34(3). 220–233. 40 indexed citations
17.
Pfleger, Christopher, et al.. (2011). Pocket-Space Maps To Identify Novel Binding-Site Conformations in Proteins. Journal of Chemical Information and Modeling. 51(10). 2666–2679. 37 indexed citations
18.
Metz, A., et al.. (2011). Hot Spots and Transient Pockets: Predicting the Determinants of Small-Molecule Binding to a Protein–Protein Interface. Journal of Chemical Information and Modeling. 52(1). 120–133. 104 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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