Martin Vogt

4.0k total citations · 1 hit paper
110 papers, 2.7k citations indexed

About

Martin Vogt is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Martin Vogt has authored 110 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Computational Theory and Mathematics, 47 papers in Molecular Biology and 29 papers in Materials Chemistry. Recurrent topics in Martin Vogt's work include Computational Drug Discovery Methods (64 papers), Metabolomics and Mass Spectrometry Studies (21 papers) and Machine Learning in Materials Science (21 papers). Martin Vogt is often cited by papers focused on Computational Drug Discovery Methods (64 papers), Metabolomics and Mass Spectrometry Studies (21 papers) and Machine Learning in Materials Science (21 papers). Martin Vogt collaborates with scholars based in Germany, United States and Mexico. Martin Vogt's co-authors include Jürgen Bajorath, Dagmar Stumpfe, Gerald M. Maggiora, Hanna Geppert, Arne Skerra, Raquel Rodríguez-Pérez, Ye Hu, Xiaoying Hu, Thomas M. Klapötke and Péter Mayer and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Nature Biotechnology.

In The Last Decade

Martin Vogt

107 papers receiving 2.6k citations

Hit Papers

Molecular Similarity in Medicinal Chemistry 2013 2026 2017 2021 2013 100 200 300 400
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.

  1. Molecular Similarity in Medicinal Chemistry
    2013 431 citations Gerald M. Maggiora, Martin Vogt et al. profile →

Peers

Martin Vogt
Neysa Nevins United States
Stephen D. Pickett United Kingdom
Anna Vulpetti Switzerland
Richard A. Lewis United States
Hans Matter Germany
Felice C. Lightstone United States
Yurii S. Moroz Ukraine
Gianni Chessari United Kingdom
Gary Tresadern Belgium
Jordi Mestres Spain
Neysa Nevins United States
Martin Vogt
Citations per year, relative to Martin Vogt Martin Vogt (= 1×) peers Neysa Nevins

Countries citing papers authored by Martin Vogt

Since Specialization
Citations

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

Fields of papers citing papers by Martin Vogt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Vogt

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

All Works

20 of 20 papers shown
1.
Iqbal, Javed, Martin Vogt, & Jürgen Bajorath. (2020). Activity landscape image analysis using convolutional neural networks. Journal of Cheminformatics. 12(1). 34–34. 15 indexed citations
2.
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
3.
Kunimoto, Ryo, Martin Vogt, & Jürgen Bajorath. (2016). Maximum common substructure-based Tversky index: an asymmetric hybrid similarity measure. Journal of Computer-Aided Molecular Design. 30(7). 523–531. 16 indexed citations
4.
Zhang, Bijun, Martin Vogt, Gerald M. Maggiora, & Jürgen Bajorath. (2015). Design of chemical space networks using a Tanimoto similarity variant based upon maximum common substructures. Journal of Computer-Aided Molecular Design. 29(10). 937–950. 43 indexed citations
5.
Zhang, Bijun, Martin Vogt, Gerald M. Maggiora, & Jürgen Bajorath. (2015). Comparison of bioactive chemical space networks generated using substructure- and fingerprint-based measures of molecular similarity. Journal of Computer-Aided Molecular Design. 29(7). 595–608. 19 indexed citations
6.
Garnett, Roman, Thomas Gärtner, Martin Vogt, & Jürgen Bajorath. (2015). Introducing the ‘active search’ method for iterative virtual screening. Journal of Computer-Aided Molecular Design. 29(4). 305–314. 12 indexed citations
7.
Vogt, Martin, et al.. (2015). Design of chemical space networks on the basis of Tversky similarity. Journal of Computer-Aided Molecular Design. 30(1). 1–12. 24 indexed citations
8.
Zwierzyna, Magdalena, Martin Vogt, Gerald M. Maggiora, & Jürgen Bajorath. (2014). Design and characterization of chemical space networks for different compound data sets. Journal of Computer-Aided Molecular Design. 29(2). 113–125. 27 indexed citations
9.
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
10.
Vogt, Martin & Jürgen Bajorath. (2012). Chemoinformatics: A view of the field and current trends in method development. Bioorganic & Medicinal Chemistry. 20(18). 5317–5323. 34 indexed citations
11.
Vogt, Martin & Jürgen Bajorath. (2010). Predicting the Performance of Fingerprint Similarity Searching. Methods in molecular biology. 672. 159–173. 7 indexed citations
12.
Wassermann, Anne Mai, Martin Vogt, & Jürgen Bajorath. (2010). Iterative Shannon Entropy – a Methodology to Quantify the Information Content of Value Range Dependent Data Distributions. Application to Descriptor and Compound Selectivity Profiling. Molecular Informatics. 29(5). 432–440. 1 indexed citations
13.
Vogt, Martin & Ralf Münnich. (2009). On the existence of a posterior distribution for spatial mixed models with binomial responses. METRON. 201–209. 2 indexed citations
14.
Vogt, Martin & Jürgen Bajorath. (2007). Introduction of a Generally Applicable Method to Estimate Retrieval of Active Molecules for Similarity Searching using Fingerprints. ChemMedChem. 2(9). 1311–1320. 16 indexed citations
15.
Vogt, Martin & Jürgen Bajorath. (2007). Bayesian Screening for Active Compounds in High‐dimensional Chemical Spaces Combining Property Descriptors and Molecular Fingerprints. Chemical Biology & Drug Design. 71(1). 8–14. 21 indexed citations
16.
Silverman, Joshua S., Qiang Lü, Alice Bakker, et al.. (2005). Multivalent avimer proteins evolved by exon shuffling of a family of human receptor domains. Nature Biotechnology. 23(12). 1556–1561. 158 indexed citations
17.
Klüfers, Peter, et al.. (2005). Silicon Chelation in Aqueous and Nonaqueous Media: The Furanoidic Diol Approach. Chemistry - A European Journal. 11(21). 6326–6346. 21 indexed citations
18.
Vogt, Martin & Arne Skerra. (2001). Bacterially produced apolipoprotein D binds progesterone and arachidonic acid, but not bilirubin orE-3M2H. Journal of Molecular Recognition. 14(1). 79–86. 82 indexed citations
19.
Duchhardt, Heinz, et al.. (1998). Der Friede von Rijswijk 1697. 3 indexed citations
20.
Vogt, Martin, et al.. (1978). Die Kabinette Stresemann I u. II : 13. August bis 6. Oktober 1923, 6. Oktober bis 30. November 1923. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Neysa Nevins Breakdown of academic impact, for papers by Stephen D. Pickett Breakdown of academic impact, for papers by Anna Vulpetti Breakdown of academic impact, for papers by Richard A. Lewis Breakdown of academic impact, for papers by Hans Matter Breakdown of academic impact, for papers by Felice C. Lightstone Breakdown of academic impact, for papers by Yurii S. Moroz Breakdown of academic impact, for papers by Gianni Chessari Breakdown of academic impact, for papers by Gary Tresadern Breakdown of academic impact, for papers by Jordi Mestres
Rankless by CCL
2026