Andreas Bender

18.9k citations
326 papers · 13.5k · 1 hit paper · h-index 62

Impact in

Papers in

Andreas Bender

318 papers receiving 13.1k citations

Andreas Bender's Hit Papers

DeepSynergy: predicting anti-cancer drug synergy with Deep Learning 2017 · 421 citations
4210+3+6Years since publication100200300400

Peers

Andreas Bender
Comparison fields: 5 of 196
  • Computational Theory and Mathematics 7.2k
  • Pharmacology 1.1k
  • Biophysics 733
  • Molecular Biology 7.2k
  • Pharmacology 1.5k
Replace Dongsheng Cao with:
Dongsheng Cao China
Tudor I. Oprea United States
John P. Overington United Kingdom
Jürgen Bajorath Germany
Gisbert Schneider Switzerland
Luhua Lai China
John J. Irwin United States
Feixiong Cheng United States
Alexander Tropsha United States
Yu Chen China
Andreas Bender relative to Dongsheng Cao China Dongsheng Cao's profile →
Citations per field
00.5×1.5×2.5×
Dongsheng Cao · 1×
Citations per year

Countries citing papers authored by Andreas Bender

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Bender

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andreas Bender, 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 Bender Line = papers co-authored together Andreas Bender links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 326 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004488
2
DeepSynergy: predicting anti-cancer drug synergy with Deep Learning
Hit paper breakdown →
2017421
3 2012353
4 2007285
5 2004269
6 2007265
7 2008251
8 2009245
9 2012240
10 2009236
11 2011227
12 2003214
13 2020199
14 2006160
15 2006159
16 2006153
17 2005153
18 2014151
19 2015150
20 2007142

About Andreas Bender

Andreas Bender is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Pharmacology and Pharmacology, having authored 326 papers that have together received 13.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (192 papers), Bioinformatics and Genomic Networks (33 papers), Machine Learning in Materials Science (32 papers), Metabolomics and Mass Spectrometry Studies (30 papers), Chemical Synthesis and Analysis (28 papers), Protein Structure and Dynamics (27 papers), Microbial Natural Products and Biosynthesis (26 papers) and Pharmacogenetics and Drug Metabolism (26 papers). The work is most often cited by research in Computational Theory and Mathematics (7.2k citations), Pharmacology (1.1k citations), Biophysics (733 citations), Molecular Biology (7.2k citations) and Pharmacology (1.5k citations). Andreas Bender has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Robert C. Glen, Isidro Cortés‐Ciriano, Jeremy L. Jenkins, John W. Davies, Meir Glick, David R. Spring, Adriaan P. IJzerman, Hamse Y. Mussa, Gerard J. P. van Westen and Stephan Reiling. Their work appears in journals such as Journal of Chemical Information and Modeling, Journal of Cheminformatics, Journal of Medicinal Chemistry, PLoS ONE and Chemical Research in Toxicology.

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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