Matthew Reyer

510 citations
12 papers · 309 · h-index 7

Impact in

    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Nuclear Structure and Function
    • Genomics and Chromatin Dynamics

Papers in

    • RNA and protein synthesis mechanisms 4
    • Lipid Membrane Structure and Behavior 2
    • RNA modifications and cancer 2
    • RNA Research and Splicing 2
    • Bacterial Genetics and Biotechnology 3

Matthew Reyer

11 papers receiving 307 citations

Peers

Matthew Reyer
Comparison fields: 5 of 56
  • Molecular Biology 272
  • Biochemistry 21
  • Cancer Research 37
  • Biophysics 10
  • Genetics 39
Replace Mariola Szenk with:
Mariola Szenk United States
Xiaochun Fan United States
Boris J.A. Dyakov Canada
Oscar Flores Spain
Rosa Morra United Kingdom
Christophe Normand France
Gábor M. Harami Hungary
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Tatsuhiko Someya Japan
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Citations per field
00.5×4.2×
Mariola Szenk · 1×
Citations per year

Countries citing papers authored by Matthew Reyer

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Reyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2017196
2 202133
3 202222
4 201915
5 202113
6 201510
7 20177
8 20185
9 20175
10 20252
11 20181
12 20160

About Matthew Reyer

Matthew Reyer is a scholar working on Molecular Biology, Genetics, Biophysics, Ecology and Atomic and Molecular Physics, and Optics, having authored 12 papers that have together received 309 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Bacterial Genetics and Biotechnology (3 papers), Lipid Membrane Structure and Behavior (2 papers), Bacteriophages and microbial interactions (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), RNA modifications and cancer (2 papers), Spectroscopy and Quantum Chemical Studies (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Molecular Biology (272 citations), Biochemistry (21 citations), Cancer Research (37 citations), Biophysics (10 citations) and Genetics (39 citations). Matthew Reyer has collaborated with scholars based in United States, Canada and Poland. Frequent co-authors include Jingyi Fei, Qinyu Sun, Kannanganattu V. Prasanth, Tyler S. Harmon, Rohit V. Pappu, Boyang Hua, Taekjip Ha, Mahdieh Jadaliha, Alex S. Holehouse and Qinyu Hao. Their work appears in journals such as Biochemistry, Journal of Visualized Experiments, Review of Scientific Instruments, Journal of Cell Science and Cell Reports.

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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