M. Beier
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- Gene expression and cancer classification 5
- Advanced biosensing and bioanalysis techniques 3
- Advanced Biosensing Techniques and Applications 2
- DNA and Nucleic Acid Chemistry 2
- RNA and protein synthesis mechanisms 2
- Single-cell and spatial transcriptomics 1
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- Cancer-related molecular mechanisms research 1
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- Biosensors and Analytical Detection 1
- Co-authors
- J. HoheiselRamanarayanan KrishnamurthyAlbert EschenmoserTristan WagnerFolkert ReckArne W. NolteRainer SonnenbergAlexander Pozhitkov
- Journals
- Nucleic Acids Research (3 papers)Biochemical Society Transactions (1 paper)Nucleosides Nucleotides & Nucleic Acids (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
M. Beier
9 papers receiving 554 citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 467
- Cancer Research 65
- Biomedical Engineering 96
- Surfaces, Coatings and Films 15
- Ecology 50
Countries citing papers authored by M. Beier
This map shows the geographic impact of M. Beier'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 M. Beier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Beier more than expected).
Fields of papers citing papers by M. Beier
This network shows the impact of papers produced by M. Beier. 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 M. Beier. The network helps show where M. Beier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Beier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 84 | |
| 2 | 2006 | 88 | |
| 3 | 2003 | 6 | |
| 4 | 2002 | 3 | |
| 5 | Production by quantitative photolithographic synthesis of individually quality checked DNA microarrays | 2000 | 4 |
| 6 | 2000 | 82 | |
| 7 | 1999 | 3 | |
| 8 | 1999 | 212 | |
| 9 | 1999 | 92 |
About M. Beier
M. Beier is a scholar working on Molecular Biology, Cancer Research, Genetics, Biomedical Engineering and Infectious Diseases, having authored 9 papers that have together received 574 indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Advanced biosensing and bioanalysis techniques (3 papers), Advanced Biosensing Techniques and Applications (2 papers), DNA and Nucleic Acid Chemistry (2 papers), RNA and protein synthesis mechanisms (2 papers), Biosensors and Analytical Detection (1 paper), Cancer-related molecular mechanisms research (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Molecular Biology (467 citations), Cancer Research (65 citations), Biomedical Engineering (96 citations), Surfaces, Coatings and Films (15 citations) and Ecology (50 citations). M. Beier has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include J. Hoheisel, Ramanarayanan Krishnamurthy, Albert Eschenmoser, Tristan Wagner, Folkert Reck, Arne W. Nolte, Rainer Sonnenberg, Alexander Pozhitkov, Peter A. Noble and Tomislav Domazet‐Lošo. Their work appears in journals such as Nucleic Acids Research, Biochemical Society Transactions, Nucleosides Nucleotides & Nucleic Acids, Science and European Heart Journal.
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.