Michelle M. Meyer

2.3k total citations
51 papers, 1.6k citations indexed

About

Michelle M. Meyer is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Michelle M. Meyer has authored 51 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 14 papers in Genetics and 8 papers in Ecology. Recurrent topics in Michelle M. Meyer's work include RNA and protein synthesis mechanisms (32 papers), RNA modifications and cancer (15 papers) and Bacterial Genetics and Biotechnology (14 papers). Michelle M. Meyer is often cited by papers focused on RNA and protein synthesis mechanisms (32 papers), RNA modifications and cancer (15 papers) and Bacterial Genetics and Biotechnology (14 papers). Michelle M. Meyer collaborates with scholars based in United States, France and Switzerland. Michelle M. Meyer's co-authors include Ronald R. Breaker, Seiichi P. T. Matsuda, Frances H. Arnold, Jon Anthony, Tyler D. Ames, Jonathan J. Silberg, Zasha Weinberg, Adam Roth, Lisa M. Hochrein and Yang Fu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Michelle M. Meyer

49 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michelle M. Meyer United States 24 1.4k 375 226 130 72 51 1.6k
Antonio A. Iniesta Spain 14 914 0.7× 659 1.8× 309 1.4× 102 0.8× 28 0.4× 17 1.2k
Octavio Monasterio Chile 22 853 0.6× 324 0.9× 183 0.8× 75 0.6× 124 1.7× 63 1.3k
Julie M. Pratt United Kingdom 18 1.4k 1.0× 434 1.2× 147 0.7× 65 0.5× 25 0.3× 26 1.9k
Mirjam E. G. Aarsman Netherlands 18 916 0.7× 884 2.4× 456 2.0× 133 1.0× 29 0.4× 28 1.2k
A. Arockiasamy India 13 433 0.3× 212 0.6× 260 1.2× 79 0.6× 25 0.3× 28 759
Houra Merrikh United States 26 1.6k 1.2× 958 2.6× 247 1.1× 302 2.3× 39 0.5× 38 2.1k
Dae Gwin Jeong South Korea 28 1.3k 0.9× 145 0.4× 94 0.4× 72 0.6× 55 0.8× 117 2.3k
Jordi Querol‐Audí Spain 22 750 0.5× 76 0.2× 81 0.4× 144 1.1× 34 0.5× 34 1.1k
Volker Kruft Germany 27 2.4k 1.7× 418 1.1× 208 0.9× 537 4.1× 211 2.9× 52 2.8k

Countries citing papers authored by Michelle M. Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Michelle M. Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle M. Meyer. 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 Michelle M. Meyer. The network helps show where Michelle M. Meyer may publish in the future.

Co-authorship network of co-authors of Michelle M. Meyer

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle M. Meyer. A scholar is included among the top collaborators of Michelle M. Meyer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michelle M. Meyer. Michelle M. Meyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Meyer, Michelle M., et al.. (2026). Electrical Readout Strategies of GFET Biosensors for Real-World Requirements. bioRxiv (Cold Spring Harbor Laboratory).
3.
Kumar, Narendra, et al.. (2024). Graphene Multiplexed Sensor for Point-of-Need Viral Wastewater-Based Epidemiology. ACS Applied Bio Materials. 7(7). 4622–4632. 4 indexed citations
4.
Mukherjee, Sumit, et al.. (2023). A computational approach for the identification of distant homologs of bacterial riboswitches based on inverse RNA folding. Briefings in Bioinformatics. 24(3). 5 indexed citations
5.
Babina, Arianne M., et al.. (2018). Fitness advantages conferred by the L20-interacting RNAcis-regulator of ribosomal protein synthesis inBacillus subtilis. RNA. 24(9). 1133–1143. 6 indexed citations
6.
Meyer, Michelle M., et al.. (2017). Recognizing RNA structural motifs in HT-SELEX data for ribosomal protein S15. BMC Bioinformatics. 18(1). 298–298. 7 indexed citations
7.
Meyer, Michelle M., et al.. (2016). RNA regulators responding to ribosomal protein S15 are frequent in sequence space. Nucleic Acids Research. 44(19). gkw754–gkw754. 5 indexed citations
8.
Meyer, Michelle M.. (2016). The role of mRNA structure in bacterial translational regulation. Wiley Interdisciplinary Reviews - RNA. 8(1). 31 indexed citations
9.
Babina, Arianne M., et al.. (2015). An S6:S18 complex inhibits translation of E. coli rpsF. RNA. 21(12). 2039–2046. 14 indexed citations
10.
Newman, Hunter, et al.. (2015). Co-evolution of Bacterial Ribosomal Protein S15 with Diverse mRNA Regulatory Structures. PLoS Genetics. 11(12). e1005720–e1005720. 12 indexed citations
11.
Anthony, Jon, et al.. (2015). Sampled ensemble neutrality as a feature to classify potential structured RNAs. BMC Genomics. 16(1). 35–35. 3 indexed citations
12.
Anthony, Jon, et al.. (2014). Discovery and validation of novel and distinct RNA regulators for ribosomal protein S15 in diverse bacterial phyla. BMC Genomics. 15(1). 657–657. 15 indexed citations
13.
Fu, Yang, et al.. (2013). Bacterial RNA motif in the 5′ UTR of rpsF interacts with an S6:S18 complex. RNA. 20(2). 168–176. 17 indexed citations
14.
Fu, Yang, et al.. (2013). Most RNAs regulating ribosomal protein biosynthesis in Escherichia coli are narrowly distributed to Gammaproteobacteria. Nucleic Acids Research. 41(6). 3491–3503. 65 indexed citations
15.
Zarringhalam, Kourosh, Michelle M. Meyer, Iván Dotú, Jeffrey H. Chuang, & Peter Clote. (2012). Integrating Chemical Footprinting Data into RNA Secondary Structure Prediction. PLoS ONE. 7(10). e45160–e45160. 74 indexed citations
16.
Meyer, Michelle M., et al.. (2011). Challenges of ligand identification for riboswitch candidates. RNA Biology. 8(1). 5–10. 58 indexed citations
17.
Weinberg, Zasha, Jonathan Perreault, Michelle M. Meyer, & Ronald R. Breaker. (2009). Exceptional structured noncoding RNAs revealed by bacterial metagenome analysis. Nature. 462(7273). 656–659. 91 indexed citations
18.
Meyer, Michelle M., et al.. (2008). Confirmation of a second natural preQ1 aptamer class in Streptococcaceae bacteria. RNA. 14(4). 685–695. 91 indexed citations
19.
Konietzko, Uwe, et al.. (2008). Co-localization of the amyloid precursor protein and Notch intracellular domains in nuclear transcription factories. Neurobiology of Aging. 31(1). 58–73. 62 indexed citations
20.
Tripp, H. James, Michael S. Schwalbach, Michelle M. Meyer, et al.. (2008). Unique glycine‐activated riboswitch linked to glycine–serine auxotrophy in SAR11. Environmental Microbiology. 11(1). 230–238. 79 indexed citations

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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