Ingo Vogt

448 total citations
15 papers, 275 citations indexed

About

Ingo Vogt is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Ingo Vogt has authored 15 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Computational Theory and Mathematics and 2 papers in Pharmacology. Recurrent topics in Ingo Vogt's work include Computational Drug Discovery Methods (13 papers), Bioinformatics and Genomic Networks (6 papers) and Chemical Synthesis and Analysis (3 papers). Ingo Vogt is often cited by papers focused on Computational Drug Discovery Methods (13 papers), Bioinformatics and Genomic Networks (6 papers) and Chemical Synthesis and Analysis (3 papers). Ingo Vogt collaborates with scholars based in Germany and Spain. Ingo Vogt's co-authors include Jordi Mestres, Mónica Campillos, Jürgen Bajorath, Hany E. A. Ahmed, Dagmar Stumpfe, Hanna Eckert, Mihiret T. Sisay, Michael Gütschow and Maxim Frizler and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS Computational Biology.

In The Last Decade

Ingo Vogt

15 papers receiving 271 citations

Peers

Ingo Vogt

CTM

PHARM

Ricard García-Serna Spain

Joachim von Eichborn Germany

Volker Hähnke Germany

Hiroaki Yabuuchi Japan

Zhang Ji Singapore

Zhenran Jiang China

Avid M. Afzal United Kingdom

Yongcui Wang China

Alexander Fekete United States

Balaguru Ravikumar Finland

Ricard García-Serna Spain

Ingo Vogt

144 ×0.7

174 ×0.8

CTM

51 ×1.0

PHARM

39 ×1.0

PHARM

21 ×1.3

Citations per year, relative to Ingo Vogt Ingo Vogt (= 1×) peers Ricard García-Serna

Countries citing papers authored by Ingo Vogt

Since Specialization

Citations

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

Fields of papers citing papers by Ingo Vogt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingo Vogt

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

All Works

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15 of 15 papers shown

Vogt, Ingo & Jordi Mestres. (2019). Information Loss in Network Pharmacology. Molecular Informatics. 38(7). e1900032–e1900032. 5 indexed citations

Vogt, Ingo, et al.. (2016). A Novel Drug-Mouse Phenotypic Similarity Method Detects Molecular Determinants of Drug Effects. PLoS Computational Biology. 12(9). e1005111–e1005111. 9 indexed citations

Vogt, Ingo, et al.. (2014). Organ system heterogeneity DB: a database for the visualization of phenotypes at the organ system level. Nucleic Acids Research. 43(D1). D900–D906. 7 indexed citations

Vogt, Ingo, et al.. (2014). Molecularly and clinically related drugs and diseases are enriched in phenotypically similar drug-disease pairs. Genome Medicine. 6(7). 52–52. 18 indexed citations

Vogt, Ingo, et al.. (2014). Systematic analysis of gene properties influencing organ system phenotypes in mammalian perturbations. Bioinformatics. 30(21). 3093–3100. 7 indexed citations

Vogt, Ingo, et al.. (2013). HitPick: a web server for hit identification and target prediction of chemical screenings. Bioinformatics. 29(15). 1910–1912. 77 indexed citations

Vogt, Ingo & Jordi Mestres. (2010). Drug‐Target Networks. Molecular Informatics. 29(1-2). 10–14. 60 indexed citations

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

Vogt, Ingo, et al.. (2008). Exploring structure–selectivity relationships of biogenic amine GPCR antagonists using similarity searching and dynamic compound mapping. Molecular Diversity. 12(1). 25–40. 12 indexed citations

10.

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

11.

Vogt, Ingo & Jürgen Bajorath. (2008). Design and Exploration of Target-Selective Chemical Space Representations. Journal of Chemical Information and Modeling. 48(7). 1389–1395. 2 indexed citations

12.

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

13.

Vogt, Ingo, Dagmar Stumpfe, Hany E. A. Ahmed, & Jürgen Bajorath. (2007). Methods for Computer‐aided Chemical Biology. Part 2: Evaluation of Compound Selectivity Using 2D Molecular Fingerprints. Chemical Biology & Drug Design. 70(3). 195–205. 29 indexed citations

14.

Vogt, Ingo & Jürgen Bajorath. (2007). Analysis of a High-Throughput Screening Data Set Using Potency-Scaled Molecular Similarity Algorithms. Journal of Chemical Information and Modeling. 47(2). 367–375. 4 indexed citations

15.

Eckert, Hanna, Ingo Vogt, & Jürgen Bajorath. (2006). Mapping Algorithms for Molecular Similarity Analysis and Ligand-Based Virtual Screening: Design of DynaMAD and Comparison with MAD and DMC. Journal of Chemical Information and Modeling. 46(4). 1623–1634. 15 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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