M. Beier

745 citations
9 papers · 628 · h-index 6

Impact in

    • MicroRNA in disease regulation
    • DNA and Nucleic Acid Chemistry
    • Advanced Biosensing Techniques and Applications
    • Gene expression and cancer classification
    • Advanced biosensing and bioanalysis techniques

Papers in

M. Beier

9 papers receiving 584 citations

Peers

M. Beier
Comparison fields: 5 of 35
  • Cancer Research 51
  • Molecular Biology 230
  • Surfaces, Coatings and Films 9
  • Astronomy and Astrophysics 27
  • Polymers and Plastics 12
Replace George B. Petersen with:
George B. Petersen New Zealand
Peter J. Sherwood United States
Jiahuan Zhu China
Irene H. Majerfeld United States
Yu. L. Lyubchenko Russia
Carla Pernpeintner Germany
Jonathan T. Sczepanski United States
Neal Crampton United Kingdom
Jun Komatsu Japan
Leroy Augenstein United States
M. Beier relative to George B. Petersen New Zealand George B. Petersen's profile →
Citations per field
00.5×2×4×6×8×9×
George B. Petersen · 1×
Citations per year

Countries citing papers authored by M. Beier

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

9 of 9 papers shown
#Work
1 1999240
2 199996
3 200695
4 201394
5 200087
6 20037
7 19993
8
Production by quantitative photolithographic synthesis of individually quality checked DNA microarrays
20003
9 20023

About M. Beier

M. Beier is a scholar working on Cancer Research, Molecular Biology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 9 papers that have together received 628 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (2 papers), MicroRNA in disease regulation (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Cancer Research (51 citations), Molecular Biology (230 citations), Surfaces, Coatings and Films (9 citations), Astronomy and Astrophysics (27 citations) and Polymers and Plastics (12 citations). M. Beier has collaborated with scholars based in Germany, United States and Croatia. Frequent co-authors include Joerg D. Hoheisel, Albert Eschenmoser, Ramanarayanan Krishnamurthy, Folkert Reck, Peer F. Stähler, Rainer Sonnenberg, Arne Wolfram Nolte, Diethard Tautz, Alexander E. Pozhitkov and Peter A. Noble. Their work appears in journals such as Nucleic Acids Research, Biochemical Society Transactions, Science, Nucleosides Nucleotides & Nucleic Acids 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.

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