Dagmar Stumpfe

4.1k total citations · 1 hit paper
72 papers, 2.8k citations indexed

About

Dagmar Stumpfe is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology. According to data from OpenAlex, Dagmar Stumpfe has authored 72 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Computational Theory and Mathematics, 49 papers in Molecular Biology and 28 papers in Pharmacology. Recurrent topics in Dagmar Stumpfe's work include Computational Drug Discovery Methods (65 papers), Microbial Natural Products and Biosynthesis (24 papers) and Chemical Synthesis and Analysis (14 papers). Dagmar Stumpfe is often cited by papers focused on Computational Drug Discovery Methods (65 papers), Microbial Natural Products and Biosynthesis (24 papers) and Chemical Synthesis and Analysis (14 papers). Dagmar Stumpfe collaborates with scholars based in Germany, United States and France. Dagmar Stumpfe's co-authors include Jürgen Bajorath, Ye Hu, Martin Vogt, Gerald M. Maggiora, Dilyana Dimova, Huabin Hu, Hanna Geppert, Xiaoying Hu, Jorg C. J. Benningshof and Gerhard Müller and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry and Chemistry - A European Journal.

In The Last Decade

Dagmar Stumpfe

72 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Molecular Similarity in Medicinal Chemistry

2013 431 citations Gerald M. Maggiora, Martin Vogt et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dagmar Stumpfe Germany	25	2.0k	1.6k	700	606	568	72	2.8k
Nathan Brown United Kingdom	27	1.5k 0.7×	1.5k 1.0×	550 0.8×	317 0.5×	428 0.8×	60	2.7k
Dragos Horvath France	31	2.0k 1.0×	1.6k 1.0×	561 0.8×	377 0.6×	784 1.4×	139	3.3k
Ye Hu Germany	25	1.6k 0.8×	1.3k 0.8×	643 0.9×	546 0.9×	345 0.6×	80	2.2k
Darren V. S. Green United Kingdom	28	1.7k 0.8×	1.8k 1.1×	906 1.3×	354 0.6×	400 0.7×	58	3.8k
Michał Nowotka United Kingdom	8	2.2k 1.1×	2.1k 1.3×	353 0.5×	493 0.8×	587 1.0×	11	3.3k
Karina Martínez‐Mayorga Mexico	27	1.1k 0.5×	1.5k 0.9×	529 0.8×	309 0.5×	231 0.4×	84	2.5k
Jérôme Hert Switzerland	18	2.0k 1.0×	1.9k 1.2×	372 0.5×	488 0.8×	355 0.6×	23	2.9k
A. Geoffrey Skillman United States	17	1.9k 0.9×	2.5k 1.6×	693 1.0×	404 0.7×	614 1.1×	26	3.8k
Paul C. D. Hawkins United States	12	1.4k 0.7×	1.8k 1.1×	555 0.8×	355 0.6×	466 0.8×	16	2.8k
George Papadatos United Kingdom	19	3.0k 1.5×	3.0k 1.9×	455 0.7×	624 1.0×	793 1.4×	27	4.5k

Countries citing papers authored by Dagmar Stumpfe

Since Specialization

Citations

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

Fields of papers citing papers by Dagmar Stumpfe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagmar Stumpfe

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

All Works

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20 of 20 papers shown

Kurczab, Rafał, et al.. (2021). Data-Driven Analysis of Fluorination of Ligands of Aminergic G Protein Coupled Receptors. Biomolecules. 11(11). 1647–1647. 2 indexed citations

Stumpfe, Dagmar, Huabin Hu, & Jürgen Bajorath. (2020). Computational method for the identification of third generation activity cliffs. MethodsX. 7. 100793–100793. 4 indexed citations

Stumpfe, Dagmar, Huabin Hu, & Jürgen Bajorath. (2020). Advances in exploring activity cliffs. Journal of Computer-Aided Molecular Design. 34(9). 929–942. 34 indexed citations

Naveja, J. Jesús, Martin Vogt, Dagmar Stumpfe, José L. Medina‐Franco, & Jürgen Bajorath. (2019). Systematic Extraction of Analogue Series from Large Compound Collections Using a New Computational Compound–Core Relationship Method. ACS Omega. 4(1). 1027–1032. 66 indexed citations

Stumpfe, Dagmar, Huabin Hu, & Jürgen Bajorath. (2019). Introducing a new category of activity cliffs with chemical modifications at multiple sites and rationalizing contributions of individual substitutions. Bioorganic & Medicinal Chemistry. 27(16). 3605–3612. 12 indexed citations

Naveja, J. Jesús, Dagmar Stumpfe, José L. Medina‐Franco, & Jürgen Bajorath. (2019). Exploration of Target Synergy in Cancer Treatment by Cell-Based Screening Assay and Network Propagation Analysis. Journal of Chemical Information and Modeling. 59(6). 3072–3079. 1 indexed citations

Dimova, Dilyana, Dagmar Stumpfe, & Jürgen Bajorath. (2017). Computational Design of New Molecular Scaffolds for Medicinal Chemistry, Part II: Generalization of Analog Series-Based Scaffolds. Future Science OA. 4(2). FSO267–FSO267. 7 indexed citations

Vogt, Martin, Dagmar Stumpfe, Gerald M. Maggiora, & Jürgen Bajorath. (2016). Lessons learned from the design of chemical space networks and opportunities for new applications. Journal of Computer-Aided Molecular Design. 30(3). 191–208. 24 indexed citations

Stumpfe, Dagmar, Dilyana Dimova, & Jürgen Bajorath. (2015). Systematic assessment of scaffold hopping versus activity cliff formation across bioactive compound classes following a molecular hierarchy. Bioorganic & Medicinal Chemistry. 23(13). 3183–3191. 4 indexed citations

10.

Anighoro, Andrew, Dagmar Stumpfe, Kathrin Heikamp, et al.. (2015). Computational Polypharmacology Analysis of the Heat Shock Protein 90 Interactome. Journal of Chemical Information and Modeling. 55(3). 676–686. 17 indexed citations

11.

Dimova, Dilyana, Dagmar Stumpfe, & Jürgen Bajorath. (2014). Systematic assessment of coordinated activity cliffs formed by kinase inhibitors and detailed characterization of activity cliff clusters and associated SAR information. European Journal of Medicinal Chemistry. 90. 414–427. 8 indexed citations

12.

Iyer, Preeti, Dagmar Stumpfe, Martin Vogt, Jürgen Bajorath, & Gerald M. Maggiora. (2013). Activity Landscapes, Information Theory, and Structure – Activity Relationships. Molecular Informatics. 32(5-6). 421–430. 20 indexed citations

13.

Lentz, Christian S., et al.. (2013). New chemotypes for wALADin1-like inhibitors of delta-aminolevulinic acid dehydratase from Wolbachia endobacteria. Bioorganic & Medicinal Chemistry Letters. 23(20). 5558–5562. 5 indexed citations

14.

Hu, Ye, Dagmar Stumpfe, & Jürgen Bajorath. (2013). Visualization of Activity Landscapes and Chemogenomics Data. Molecular Informatics. 32(11-12). 954–963. 2 indexed citations

15.

Stumpfe, Dagmar, Eugen Lounkine, & Jürgen Bajorath. (2010). Molecular Test Systems for Computational Selectivity Studies and Systematic Analysis of Compound Selectivity Profiles. Methods in molecular biology. 672. 503–515. 6 indexed citations

16.

Stumpfe, Dagmar, Mihiret T. Sisay, Maxim Frizler, et al.. (2009). Inhibitors of Cathepsins K and S Identified Using the DynaMAD Virtual Screening Algorithm. ChemMedChem. 5(1). 61–64. 2 indexed citations

17.

Ahmed, Hany E. A., Hanna Geppert, Dagmar Stumpfe, Eugen Lounkine, & Jürgen Bajorath. (2009). Methods for Computer‐Aided Chemical Biology. Part 4: Selectivity Searching for Ion Channel Ligands and Mapping of Molecular Fragments as Selectivity Markers. Chemical Biology & Drug Design. 73(3). 273–282. 8 indexed citations

18.

Stumpfe, Dagmar, Maxim Frizler, Mihiret T. Sisay, et al.. (2008). Hit Expansion through Computational Selectivity Searching. ChemMedChem. 4(1). 52–54. 6 indexed citations

19.

Stumpfe, Dagmar, Hanna Geppert, & Jürgen Bajorath. (2008). Methods for Computer‐Aided Chemical Biology. Part 3: Analysis of Structure–Selectivity Relationships through Single‐ or Dual‐Step Selectivity Searching and Bayesian Classification. Chemical Biology & Drug Design. 71(6). 518–528. 27 indexed citations

20.

Stumpfe, Dagmar, Hany E. A. Ahmed, Ingo Vogt, & Jürgen Bajorath. (2007). Methods for Computer‐aided Chemical Biology. Part 1: Design of a Benchmark System for the Evaluation of Compound Selectivity. Chemical Biology & Drug Design. 70(3). 182–194. 22 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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