Andreas Eckert

19 papers receiving 2.6k citations

Andreas Eckert's Hit Papers

ProTox-II: a webserver for the prediction of toxicity of chemicals 2018 · 2.2k citations
2.2k0+2+5Years since publication50010001.5k2.0k

Peers

Andreas Eckert
Comparison fields: 5 of 136
  • Computational Theory and Mathematics 985
  • Pharmacology 272
  • Toxicology 92
  • Organic Chemistry 596
  • Complementary and alternative medicine 154
Replace Anna K. Schrey with:
Anna K. Schrey Germany
Jiacai Yi China
Anastasia V. Rudik Russia
Melissa F. Adasme Germany
Zhijiang Yang China
Philip W. Lee China
Ningning Wang China
Sebastian Salentin Germany
Guo‐Li Xiong China
Andreas Eckert relative to Anna K. Schrey Germany Anna K. Schrey's profile →
Citations per field
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Anna K. Schrey · 1×
Citations per year

Countries citing papers authored by Andreas Eckert

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Eckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andreas Eckert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Andreas Eckert Line = papers co-authored together Andreas Eckert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
ProTox-II: a webserver for the prediction of toxicity of chemicals
Hit paper breakdown →
20182198
2 2011173
3 201080
4 201061
5 202025
6 201319
7 202116
8
Stress and fluid-flow interaction for the Coso Geothermal Field derived from 3D numerical models
200710
9 20218
10 20238
11
Mesh Optimization For Finite Element Models of Wellbore Stress Analysis
20116
12 20115
13 20214
14 20243
15
Die Netzwerk-Elaborierungs-Technik (NET) : Ein computerunterstütztes Verfahren zur Diagnose komplexer Wissensstrukturen
20003
16 20222
17 20251
18 20231
19 20121
20 20230

About Andreas Eckert

Andreas Eckert is a scholar working on Pharmacology, Pharmacology, Computational Theory and Mathematics, Molecular Biology and Environmental Engineering, having authored 21 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (7 papers), Computational Drug Discovery Methods (4 papers), CO2 Sequestration and Geologic Interactions (2 papers), Bioinformatics and Genomic Networks (2 papers), Geothermal Energy Systems and Applications (1 paper), Engineering Diagnostics and Reliability (1 paper), Drilling and Well Engineering (1 paper) and Oil and Gas Production Techniques (1 paper). The work is most often cited by research in Computational Theory and Mathematics (985 citations), Pharmacology (272 citations), Toxicology (92 citations), Organic Chemistry (596 citations) and Complementary and alternative medicine (154 citations). Andreas Eckert has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Robert Preißner, Anna K. Schrey, Priyanka Banerjee, Mathias Dunkel, Jessica Ahmed, Saskia Preißner, Michael K. Gilson, Joachim von Eichborn, Nikolai Hecker and Philip E. Bourne. Their work appears in journals such as Nucleic Acids Research, Pharmacogenomics and Personalized Medicine, Pharmacopsychiatry, Environmental Earth Sciences and International Journal of Clinical Pharmacy.

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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