Janosch Achenbach

509 total citations
16 papers, 370 citations indexed

About

Janosch Achenbach is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Pharmacology. According to data from OpenAlex, Janosch Achenbach has authored 16 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 5 papers in Organic Chemistry and 4 papers in Pharmacology. Recurrent topics in Janosch Achenbach's work include Computational Drug Discovery Methods (10 papers), Analytical Chemistry and Chromatography (3 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). Janosch Achenbach is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Analytical Chemistry and Chromatography (3 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). Janosch Achenbach collaborates with scholars based in Germany, Switzerland and Austria. Janosch Achenbach's co-authors include Ewgenij Proschak, Lutz Franke, Rosie Bryson, G. Stammler, Alexandra Rehfus, D. Strobel, Júlia Wéber, Miriam Mathea, Robert Landsiedel and Holger Stark and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Ethnopharmacology and European Journal of Medicinal Chemistry.

In The Last Decade

Janosch Achenbach

14 papers receiving 356 citations

Peers

Janosch Achenbach

CTM

EEBS

Andreas Verras United States

Li‐Ning Wang China

Tiphaine Péresse France

Ryan A. Dick United States

Barbara Kaproń Poland

K H Ling Taiwan

Kolluru D. Srikanth India

Liane Saı́z-Urra Spain

Mariana González-Medina Mexico

Avi Raveh Israel

Andreas Verras United States

Janosch Achenbach

255 ×1.9

CTM

248 ×1.9

125 ×1.6

51 ×0.7

122 ×1.6

EEBS

Citations per year, relative to Janosch Achenbach Janosch Achenbach (= 1×) peers Andreas Verras

Countries citing papers authored by Janosch Achenbach

Since Specialization

Citations

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

Fields of papers citing papers by Janosch Achenbach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janosch Achenbach

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

All Works

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16 of 16 papers shown

Achenbach, Janosch, Markus Diefenhardt, Maximilian Fleischmann, et al.. (2025). Advantages of 3D printed patient-individual moulds in brachytherapy for facial skin cancer. Strahlentherapie und Onkologie. 201(9). 940–952.

Diefenhardt, Markus, Nikolaos Tselis, Janosch Achenbach, et al.. (2025). HDR Mould-Based Brachytherapy for Cutaneous Neoplasms: Toxicity, Long-Term Control, Cosmesis and PROMs. Dermatology and Therapy. 16(1). 365–376.

Mathea, Miriam, Janosch Achenbach, Antje Wolf, et al.. (2020). KnowTox: pipeline and case study for confident prediction of potential toxic effects of compounds in early phases of development. Journal of Cheminformatics. 12(1). 24–24. 19 indexed citations

Birk, Barbara, et al.. (2020). In Silico Models to Predict the Perturbation of Molecular Initiating Events Related to Thyroid Hormone Homeostasis. Chemical Research in Toxicology. 34(2). 396–411. 39 indexed citations

Paulke, Alexander, Ewgenij Proschak, Kai Sommer, et al.. (2016). Synthetic cannabinoids: In silico prediction of the cannabinoid receptor 1 affinity by a quantitative structure-activity relationship model. Toxicology Letters. 245. 1–6. 16 indexed citations

Rehfus, Alexandra, et al.. (2016). Emergence of succinate dehydrogenase inhibitor resistance of Pyrenophora teres in Europe. Pest Management Science. 72(10). 1977–1988. 84 indexed citations

Wittmann, Sandra K., Jan S. Kramer, René Blöcher, et al.. (2015). PENG: A Neural Gas-Based Approach for Pharmacophore Elucidation. Method Design, Validation, and Virtual Screening for Novel Ligands of LTA4H. Journal of Chemical Information and Modeling. 55(2). 284–293. 14 indexed citations

Wéber, Júlia, et al.. (2015). VAMMPIRE-LORD: A Web Server for Straightforward Lead Optimization Using Matched Molecular Pairs. Journal of Chemical Information and Modeling. 55(2). 207–213. 10 indexed citations

Vogt, Dominik Walter, Janosch Achenbach, Ewgenij Proschak, et al.. (2014). Multi-dimensional target profiling of N,4-diaryl-1,3-thiazole-2-amines as potent inhibitors of eicosanoid metabolism. European Journal of Medicinal Chemistry. 84. 302–311. 30 indexed citations

10.

Paulke, Alexander, Cora Wunder, Janosch Achenbach, et al.. (2013). Argyreia nervosa (Burm. f.): Receptor profiling of lysergic acid amide and other potential psychedelic LSD-like compounds by computational and binding assay approaches. Journal of Ethnopharmacology. 148(2). 492–497. 23 indexed citations

11.

Achenbach, Janosch, et al.. (2013). Identification of novel farnesoid X receptor modulators using a combined ligand- and structure-based virtual screening. MedChemComm. 4(6). 920–920. 9 indexed citations

12.

Wéber, Júlia, et al.. (2013). VAMMPIRE: A Matched Molecular Pairs Database for Structure-Based Drug Design and Optimization. Journal of Medicinal Chemistry. 56(12). 5203–5207. 33 indexed citations

13.

Achenbach, Janosch, Franca‐Maria Klingler, René Blöcher, et al.. (2013). Exploring the Chemical Space of Multitarget Ligands Using Aligned Self-Organizing Maps. ACS Medicinal Chemistry Letters. 4(12). 1169–1172. 27 indexed citations

14.

Achenbach, Janosch, Franca‐Maria Klingler, Steffen Hahn, et al.. (2012). Fragment-based identification of multi-target ligands by self-organizing map alignment. Journal of Cheminformatics. 4(S1). 1 indexed citations

15.

Hahn, Steffen, Franca‐Maria Klingler, Janosch Achenbach, et al.. (2012). Design of dual ligands using excessive pharmacophore query alignment. Journal of Cheminformatics. 4(S1). 8 indexed citations

16.

Achenbach, Janosch, et al.. (2011). Computational Tools for Polypharmacology and Repurposing. Future Medicinal Chemistry. 3(8). 961–968. 57 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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