Andreas Beyer

12.9k citations
150 papers · 8.3k indexed · 1 hit paper · h-index 39

Andreas Beyer

146 papers receiving 8.1k citations

Hit Papers

On the Dependency of Cellular Protein Levels on mRNA Abun...2.1k201620262019202250010001.5k2.0k

Peers

Andreas Beyer
Comparison fields: 5 of 188
  • Aging 220
  • Molecular Biology 4.8k
  • Health, Toxicology and Mutagenesis 746
  • General Economics, Econometrics and Finance 336
  • Cell Biology 595
Replace Jin Zhang with:
Jin Zhang China
Nobuhiro Suzuki Japan
Andrew J. Brown Australia
Jerry Kaplan United States
Michael T. Ryan Australia
Benjamin L. King United States
Kezhong Zhang United States
Yaping Liu China
Vladimir B. Bajić Saudi Arabia
Huiming Zhang China
Andreas Beyer relative to Jin Zhang China Jin Zhang's profile →
Citations per field
00.5×5.5×
Jin Zhang · 1×
Citations per year

Countries citing papers authored by Andreas Beyer

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Beyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20238
2 202313
3 20229
4 202246
5 202131
6 202132
7 202026
8 2020104
9 201972
10 2019207
11 201834
12 20176
13 201569
14 20142
15 201318
16 20119
17
Enhancing monetary analysis
201038
18 2007143
19 20057
20 200521

About Andreas Beyer

Andreas Beyer is a scholar working on Aging, General Economics, Econometrics and Finance, Molecular Biology, Finance and General Energy, having authored 150 papers that have together received 8.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (25 papers), Monetary Policy and Economic Impact (20 papers), Fungal and yeast genetics research (16 papers), Gene expression and cancer classification (13 papers), Economic theories and models (11 papers), Toxic Organic Pollutants Impact (11 papers), Gene Regulatory Network Analysis (10 papers) and RNA and protein synthesis mechanisms (9 papers). The work is most often cited by research in Aging (220 citations), Molecular Biology (4.8k citations), Health, Toxicology and Mutagenesis (746 citations), General Economics, Econometrics and Finance (336 citations) and Cell Biology (595 citations). Andreas Beyer has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Ruedi Aebersold, Yansheng Liu, Michael Matthies, Thomas Wilhelm, Donald Mackay, Frank Wania, Trey Ideker, Ralf Erdmann, Jens Hollunder and Franziska F. Wiebel. Their work appears in journals such as PLoS Computational Biology, Molecular Systems Biology, Nature Communications, PLoS ONE and Molecular & Cellular Proteomics.

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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