David Schaller

861 total citations
14 papers, 291 citations indexed

About

David Schaller is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, David Schaller has authored 14 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 4 papers in Organic Chemistry. Recurrent topics in David Schaller's work include Computational Drug Discovery Methods (6 papers), Receptor Mechanisms and Signaling (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). David Schaller is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Receptor Mechanisms and Signaling (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). David Schaller collaborates with scholars based in Germany, United States and Canada. David Schaller's co-authors include Gerhard Wolber, Szymon Pach, David Machalz, Lihua Deng, Trung Ngoc Nguyen, Marcel Bermúdez, Miyase Gözde Gündüz, Gerald W. Zamponi, Stefanie Hagenow and Holger Stark and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and The Journal of Physical Chemistry B.

In The Last Decade

David Schaller

12 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Schaller Germany	7	161	123	91	40	28	14	291
Szymon Pach Germany	8	146 0.9×	119 1.0×	64 0.7×	31 0.8×	24 0.9×	13	283
Antonius P. A. Janssen Netherlands	10	141 0.9×	68 0.6×	78 0.9×	76 1.9×	22 0.8×	24	267
Angélica Nakagawa Lima Brazil	8	161 1.0×	128 1.0×	49 0.5×	19 0.5×	45 1.6×	12	327
Sabine Schultes Austria	7	190 1.2×	89 0.7×	82 0.9×	20 0.5×	15 0.5×	8	307
Dominique Sydow Germany	9	243 1.5×	177 1.4×	43 0.5×	40 1.0×	46 1.6×	15	356
Bhanuranjan Das India	10	138 0.9×	124 1.0×	74 0.8×	36 0.9×	37 1.3×	20	327
Andy Vinter United Kingdom	5	233 1.4×	155 1.3×	105 1.2×	60 1.5×	47 1.7×	7	444
Lydia Siragusa Italy	13	284 1.8×	169 1.4×	77 0.8×	93 2.3×	24 0.9×	22	451
Shuoyan Tan China	8	227 1.4×	179 1.5×	43 0.5×	34 0.8×	50 1.8×	19	343
Klaus Dress United States	2	123 0.8×	133 1.1×	102 1.1×	28 0.7×	16 0.6×	3	312

Countries citing papers authored by David Schaller

Since Specialization

Citations

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

Fields of papers citing papers by David Schaller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Schaller

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

All Works

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14 of 14 papers shown

Sowa, Sven T., Murat Kücükdisli, David Schaller, et al.. (2025). Deconstruction of Dual-Site Tankyrase Inhibitors Provides Insights into Binding Energetics and Suggests Critical Hotspots for Ligand Optimization. Journal of Medicinal Chemistry. 68(7). 7263–7279.

Singh, Sukrit, Vytautas Gapsys, Matteo Aldeghi, et al.. (2025). Prospective Evaluation of Structure-Based Simulations Reveal Their Ability to Predict the Impact of Kinase Mutations on Inhibitor Binding. The Journal of Physical Chemistry B. 129(11). 2882–2902. 3 indexed citations

Schaller, David, Clara D. Christ, John D. Chodera, & Andrea Volkamer. (2024). Benchmarking Cross-Docking Strategies in Kinase Drug Discovery. Journal of Chemical Information and Modeling. 64(23). 8848–8858.

Sydow, Dominique, et al.. (2022). TeachOpenCADD 2022: open source and FAIR Python pipelines to assist in structural bioinformatics and cheminformatics research. Nucleic Acids Research. 50(W1). W753–W760. 8 indexed citations

Corona, Angela, David Schaller, Rainer Schobert, et al.. (2021). Garcinol from Garcinia indica inhibits HIV‐1 reverse transcriptase‐associated ribonuclease H. Archiv der Pharmazie. 354(9). e2100123–e2100123. 6 indexed citations

Schaller, David, Leonard Kaps, Detlef Schuppan, et al.. (2021). New 3-Aryl-2-(2-thienyl)acrylonitriles with High Activity Against Hepatoma Cells. International Journal of Molecular Sciences. 22(5). 2243–2243. 8 indexed citations

Schaller, David & Gerhard Wolber. (2020). PyRod Enables Rational Homology Model‐based Virtual Screening Against MCHR1. Molecular Informatics. 39(6). e2000020–e2000020. 4 indexed citations

Schaller, David, Lihua Deng, Trung Ngoc Nguyen, et al.. (2020). Next generation 3D pharmacophore modeling. Wiley Interdisciplinary Reviews Computational Molecular Science. 10(4). 167 indexed citations

Pach, Szymon, David Schaller, S. Bergemann, et al.. (2020). Catching a Moving Target: Comparative Modeling of Flaviviral NS2B-NS3 Reveals Small Molecule Zika Protease Inhibitors. ACS Medicinal Chemistry Letters. 11(4). 514–520. 9 indexed citations

10.

Schaller, David, María A. Gandini, Eder Gambeta, et al.. (2019). Discovery of Michael acceptor containing 1,4-dihydropyridines as first covalent inhibitors of L-/T-type calcium channels. Bioorganic Chemistry. 91. 103187–103187. 20 indexed citations

11.

Schaller, David, Stefanie Hagenow, Holger Stark, & Gerhard Wolber. (2019). Ligand-guided homology modeling drives identification of novel histamine H3 receptor ligands. PLoS ONE. 14(6). e0218820–e0218820. 17 indexed citations

12.

Schaller, David, et al.. (2019). Assessment of Flexible Shape Complementarity: New Opportunities to Explain and Induce Selectivity in Ligands of Protein Tyrosine Phosphatase 1B. Molecular Informatics. 38(5). e1800141–e1800141. 2 indexed citations

13.

Schaller, David, et al.. (2018). Binding mechanism investigations guiding the synthesis of novel condensed 1,4-dihydropyridine derivatives with L-/T-type calcium channel blocking activity. European Journal of Medicinal Chemistry. 155. 1–12. 41 indexed citations

14.

Schaller, David, Stefanie Hagenow, Robert Schulz, et al.. (2017). Systematic Data Mining Reveals Synergistic H3R/MCHR1 Ligands. ACS Medicinal Chemistry Letters. 8(6). 648–653. 6 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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