Verena Schöning

461 total citations
16 papers, 143 citations indexed

About

Verena Schöning is a scholar working on Molecular Biology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Verena Schöning has authored 16 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Infectious Diseases and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Verena Schöning's work include Plant Toxicity and Pharmacological Properties (5 papers), Botanical Research and Chemistry (4 papers) and Drug-Induced Hepatotoxicity and Protection (4 papers). Verena Schöning is often cited by papers focused on Plant Toxicity and Pharmacological Properties (5 papers), Botanical Research and Chemistry (4 papers) and Drug-Induced Hepatotoxicity and Protection (4 papers). Verena Schöning collaborates with scholars based in Switzerland, Germany and Spain. Verena Schöning's co-authors include Felix Hammann, Jürgen Drewe, Aristomenis K. Exadaktylos, Stephan Krähenbühl, Andrew Atkinson, Wolf E. Hautz, Evangelia Liakoni, Carlos Chaccour, Christine Baumgartner and Christoph Helma and has published in prestigious journals such as Molecules, Journal of Ethnopharmacology and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Verena Schöning

13 papers receiving 142 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Verena Schöning Switzerland 7 37 36 26 22 22 16 143
Sandeep Menon United States 10 39 1.1× 41 1.1× 72 2.8× 5 0.2× 13 0.6× 36 315
Woochang Hwang South Korea 7 44 1.2× 83 2.3× 32 1.2× 18 0.8× 8 0.4× 16 160
Diego Galeano Paraguay 7 102 2.8× 91 2.5× 28 1.1× 22 1.0× 6 0.3× 16 242
Monica Isgut United States 7 19 0.5× 55 1.5× 9 0.3× 66 3.0× 39 1.8× 14 277
Ken Getz United States 9 43 1.2× 32 0.9× 6 0.2× 13 0.6× 14 0.6× 20 234
Yan Xing China 10 31 0.8× 86 2.4× 42 1.6× 23 1.0× 17 0.8× 34 335
Xiaoqin Li China 9 10 0.3× 95 2.6× 20 0.8× 23 1.0× 28 1.3× 22 259
Bharat Kapoor United Kingdom 9 9 0.2× 19 0.5× 12 0.5× 11 0.5× 44 2.0× 29 253
Pavan Vaddady United States 7 22 0.6× 86 2.4× 37 1.4× 8 0.4× 11 0.5× 24 264
Takayuki Miyai Japan 10 8 0.2× 48 1.3× 54 2.1× 10 0.5× 6 0.3× 28 276

Countries citing papers authored by Verena Schöning

Since Specialization
Citations

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

Fields of papers citing papers by Verena Schöning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Verena Schöning

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

All Works

16 of 16 papers shown
1.
Schöning, Verena, Sarah Dräger, Katharina Rentsch, et al.. (2024). Population pharmacokinetics of flucloxacillin as intermittent bolus infusion in patients with Staphylococcus aureus bloodstream infection. Journal of Antimicrobial Chemotherapy. 79(8). 2031–2039.
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Schöning, Verena & Felix Hammann. (2022). Drug-Disease Severity and Target-Disease Severity Interaction Networks in COVID-19 Patients. Pharmaceutics. 14(9). 1828–1828.
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Schöning, Verena, et al.. (2022). Effectiveness of Antiviral Therapy in Highly-Transmissible Variants of SARS-CoV-2: A Modeling and Simulation Study. Frontiers in Pharmacology. 13. 816429–816429. 6 indexed citations
6.
Drewe, Jürgen, et al.. (2021). Modeling Structure–Activity Relationship of AMPK Activation. Molecules. 26(21). 6508–6508. 6 indexed citations
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Schöning, Verena, Evangelia Liakoni, Christine Baumgartner, et al.. (2021). Development and validation of a prognostic COVID-19 severity assessment (COSA) score and machine learning models for patient triage at a tertiary hospital. Journal of Translational Medicine. 19(1). 56–56. 36 indexed citations
8.
Schöning, Verena, et al.. (2021). Modeling of SARS-CoV-2 Treatment Effects for Informed Drug Repurposing. Frontiers in Pharmacology. 12. 625678–625678. 12 indexed citations
9.
Helma, Christoph, et al.. (2021). A Comparison of Nine Machine Learning Mutagenicity Models and Their Application for Predicting Pyrrolizidine Alkaloids. Frontiers in Pharmacology. 12. 708050–708050. 8 indexed citations
10.
Laxy, Michael, Verena Schöning, Christoph Kurz, et al.. (2019). Performance of the UKPDS Outcomes Model 2 for Predicting Death and Cardiovascular Events in Patients with Type 2 Diabetes Mellitus from a German Population-Based Cohort. PharmacoEconomics. 37(12). 1485–1494. 12 indexed citations
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Schöning, Verena, Stephan Krähenbühl, & Jürgen Drewe. (2018). The hepatotoxic potential of protein kinase inhibitors predicted with Random Forest and Artificial Neural Networks. Toxicology Letters. 299. 145–148. 14 indexed citations
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Hammann, Felix, Verena Schöning, & Jürgen Drewe. (2018). Prediction of clinically relevant drug‐induced liver injury from structure using machine learning. Journal of Applied Toxicology. 39(3). 412–419. 33 indexed citations
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Schöning, Verena, Felix Hammann, & Jürgen Drewe. (2017). Identification of structure-specific hepatotoxic potential of different pyrrolizidine alkaloids using Random Forest and artificial Neural Network. Toxicology Letters. 280. S197–S197. 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.

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