Peter Ripphausen

778 total citations
8 papers, 562 citations indexed

About

Peter Ripphausen is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Peter Ripphausen has authored 8 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 4 papers in Organic Chemistry and 4 papers in Molecular Biology. Recurrent topics in Peter Ripphausen's work include Computational Drug Discovery Methods (6 papers), Adenosine and Purinergic Signaling (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Peter Ripphausen is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Adenosine and Purinergic Signaling (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Peter Ripphausen collaborates with scholars based in Germany. Peter Ripphausen's co-authors include Jürgen Bajorath, Britta Nisius, Lisa Peltason, Dagmar Stumpfe, Herbert Zimmermann, Christa E. Müller, Younis Baqi, Sang-Yong Lee, Jamshed Iqbal and Andreas Brunschweiger and has published in prestigious journals such as Journal of Medicinal Chemistry, Drug Discovery Today and Journal of Chemical Information and Modeling.

In The Last Decade

Peter Ripphausen

8 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Ripphausen Germany 7 336 332 125 108 74 8 562
Francesca Perruccio United Kingdom 10 217 0.6× 425 1.3× 104 0.8× 17 0.2× 67 0.9× 12 636
Julien Louvel Netherlands 14 96 0.3× 280 0.8× 207 1.7× 61 0.6× 28 0.4× 19 487
Alberto Cuzzolin Italy 13 198 0.6× 366 1.1× 58 0.5× 79 0.7× 23 0.3× 20 461
Stefan Gahbauer United States 7 190 0.6× 425 1.3× 64 0.5× 15 0.1× 37 0.5× 10 591
Roberto Nuti Italy 11 168 0.5× 304 0.9× 93 0.7× 18 0.2× 64 0.9× 16 628
Nuría B. Centeno Spain 15 103 0.3× 365 1.1× 101 0.8× 76 0.7× 26 0.4× 37 528
Huaqing Cui China 17 50 0.1× 313 0.9× 162 1.3× 32 0.3× 40 0.5× 30 582
Daniel Álvarez-García Spain 6 323 1.0× 480 1.4× 78 0.6× 9 0.1× 55 0.7× 7 632
Barkın Berk Türkiye 13 123 0.4× 219 0.7× 251 2.0× 40 0.4× 92 1.2× 49 493
Jelena Jachno Lithuania 11 72 0.2× 495 1.5× 194 1.6× 13 0.1× 71 1.0× 12 600

Countries citing papers authored by Peter Ripphausen

Since Specialization
Citations

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

Fields of papers citing papers by Peter Ripphausen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Ripphausen

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

All Works

8 of 8 papers shown
1.
Ripphausen, Peter, et al.. (2012). Virtual Screening Identifies Novel Sulfonamide Inhibitors of ecto-5′-Nucleotidase. Journal of Medicinal Chemistry. 55(14). 6576–6581. 46 indexed citations
2.
Stumpfe, Dagmar, Peter Ripphausen, & Jürgen Bajorath. (2012). Virtual Compound Screening In Drug Discovery. Future Medicinal Chemistry. 4(5). 593–602. 34 indexed citations
3.
Ripphausen, Peter, Dagmar Stumpfe, & Jürgen Bajorath. (2012). Analysis Of Structure-Based Virtual Screening Studies And Characterization Of Identified Active Compounds. Future Medicinal Chemistry. 4(5). 603–613. 30 indexed citations
4.
Ripphausen, Peter, Britta Nisius, & Jürgen Bajorath. (2011). State-of-the-art in ligand-based virtual screening. Drug Discovery Today. 16(9-10). 372–376. 166 indexed citations
5.
Ripphausen, Peter, Britta Nisius, Mathias J. Wawer, & Jürgen Bajorath. (2011). Rationalizing the Role of SAR Tolerance for Ligand-Based Virtual Screening. Journal of Chemical Information and Modeling. 51(4). 837–842. 2 indexed citations
6.
Ripphausen, Peter, Anne Mai Wassermann, & Jürgen Bajorath. (2011). REPROVIS-DB: A Benchmark System for Ligand-Based Virtual Screening Derived from Reproducible Prospective Applications. Journal of Chemical Information and Modeling. 51(10). 2467–2473. 15 indexed citations
7.
Ripphausen, Peter, Britta Nisius, Lisa Peltason, & Jürgen Bajorath. (2010). Quo Vadis, Virtual Screening? A Comprehensive Survey of Prospective Applications. Journal of Medicinal Chemistry. 53(24). 8461–8467. 184 indexed citations
8.
Baqi, Younis, Sang-Yong Lee, Jamshed Iqbal, et al.. (2010). Development of Potent and Selective Inhibitors of ecto-5′-Nucleotidase Based on an Anthraquinone Scaffold. Journal of Medicinal Chemistry. 53(5). 2076–2086. 85 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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