Matthew D. Berg

606 total citations
25 papers, 340 citations indexed

About

Matthew D. Berg is a scholar working on Molecular Biology, Spectroscopy and Infectious Diseases. According to data from OpenAlex, Matthew D. Berg has authored 25 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 2 papers in Spectroscopy and 1 paper in Infectious Diseases. Recurrent topics in Matthew D. Berg's work include RNA modifications and cancer (16 papers), RNA and protein synthesis mechanisms (16 papers) and RNA Research and Splicing (13 papers). Matthew D. Berg is often cited by papers focused on RNA modifications and cancer (16 papers), RNA and protein synthesis mechanisms (16 papers) and RNA Research and Splicing (13 papers). Matthew D. Berg collaborates with scholars based in Canada, United States and Germany. Matthew D. Berg's co-authors include Christopher J. Brandl, Patrick O’Donoghue, Jeremy T. Lant, Ilka U. Heinemann, Julie Genereaux, Kyle Hoffman, Brian H. Shilton, Martin L. Duennwald, Judit Villén and Matthew Turk and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Matthew D. Berg

23 papers receiving 340 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew D. Berg Canada 9 319 22 12 12 11 25 340
Brittany N. Albaugh United States 8 321 1.0× 28 1.3× 4 0.3× 30 2.5× 9 0.8× 10 359
Owen S. Wells United Kingdom 5 222 0.7× 19 0.9× 7 0.6× 9 0.8× 10 0.9× 6 242
Sanaz Farajollahi United States 6 255 0.8× 27 1.2× 6 0.5× 7 0.6× 3 0.3× 10 300
Linden Muellner-Wong Australia 8 227 0.7× 17 0.8× 8 0.7× 35 2.9× 6 0.5× 9 294
Alice Y. Wang Canada 8 331 1.0× 12 0.5× 6 0.5× 14 1.2× 9 0.8× 8 367
C. Denise Appel United States 9 277 0.9× 27 1.2× 8 0.7× 15 1.3× 7 0.6× 11 304
P. Koetter Germany 3 153 0.5× 13 0.6× 6 0.5× 12 1.0× 16 1.5× 3 181
Fernando A. Gonzales-Zubiate Brazil 10 244 0.8× 10 0.5× 4 0.3× 14 1.2× 5 0.5× 18 295
Satyaprakash Pandey India 13 579 1.8× 44 2.0× 4 0.3× 5 0.4× 7 0.6× 21 613

Countries citing papers authored by Matthew D. Berg

Since Specialization
Citations

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

Fields of papers citing papers by Matthew D. Berg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew D. Berg

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. Berg. A scholar is included among the top collaborators of Matthew D. Berg 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 Matthew D. Berg. Matthew D. Berg 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.
Wen, Bo, Chris Hsu, David Shteynberg, et al.. (2025). Carafe enables high quality in silico spectral library generation for data-independent acquisition proteomics. Nature Communications. 16(1). 9815–9815.
2.
Berg, Matthew D., Julie Genereaux, Robyn D. Moir, et al.. (2024). TUDCA modulates drug bioavailability to regulate resistance to acute ER stress in Saccharomyces cerevisiae. Molecular Biology of the Cell. 36(2). ar13–ar13.
3.
Berg, Matthew D., et al.. (2024). Mistranslating tRNA variants have anticodon- and sex-specific impacts on Drosophila melanogaster. G3 Genes Genomes Genetics. 1 indexed citations
4.
Otto, George M., Domnița-Valeria Rusnac, Ping He, et al.. (2024). High-throughput identification of calcium-regulated proteins across diverse proteomes. Cell Reports. 43(11). 114879–114879. 2 indexed citations
5.
Genereaux, Julie, et al.. (2023). Anticodon sequence determines the impact of mistranslating tRNA Ala variants. RNA Biology. 20(1). 791–804. 6 indexed citations
6.
Bailey, Thomas J., et al.. (2023). Analysis of financial challenges faced by graduate students in Canada. Biochemistry and Cell Biology. 101(4). 326–360. 5 indexed citations
7.
Berg, Matthew D., et al.. (2022). A novel mistranslating tRNA model in Drosophila melanogaster has diverse, sexually dimorphic effects. G3 Genes Genomes Genetics. 12(5). 4 indexed citations
8.
Berg, Matthew D., Raphaël Loll‐Krippleber, Bryan-Joseph San Luis, et al.. (2022). Genetic background and mistranslation frequency determine the impact of mistranslating tRNASerUGG. G3 Genes Genomes Genetics. 12(7). 1 indexed citations
9.
Berg, Matthew D., et al.. (2022). Tra1 controls the transcriptional landscape of the aging cell. G3 Genes Genomes Genetics. 13(1). 2 indexed citations
10.
Berg, Matthew D., Raphaël Loll‐Krippleber, Bryan-Joseph San Luis, et al.. (2021). The amino acid substitution affects cellular response to mistranslation. G3 Genes Genomes Genetics. 11(10). 9 indexed citations
11.
Berg, Matthew D., Yuwei Jiang, Julie Genereaux, et al.. (2021). The SAGA and NuA4 component Tra1 regulates Candida albicans drug resistance and pathogenesis. Genetics. 219(2). 6 indexed citations
12.
Berg, Matthew D., et al.. (2021). Regulating Expression of Mistranslating tRNAs by Readthrough RNA Polymerase II Transcription. ACS Synthetic Biology. 10(11). 3177–3189. 6 indexed citations
13.
Berg, Matthew D., et al.. (2020). Chemical-Genetic Interactions with the Proline Analog L-Azetidine-2-Carboxylic Acid in Saccharomyces cerevisiae. G3 Genes Genomes Genetics. 10(12). 4335–4345. 4 indexed citations
14.
Berg, Matthew D., et al.. (2020). Mistranslating tRNA identifies a deleterious S213P mutation in the Saccharomyces cerevisiae eco1-1 allele. Biochemistry and Cell Biology. 98(5). 624–630. 5 indexed citations
15.
Berg, Matthew D. & Christopher J. Brandl. (2020). Transfer RNAs: diversity in form and function. RNA Biology. 18(3). 316–339. 71 indexed citations
16.
Jiang, Yuwei, Matthew D. Berg, Julie Genereaux, et al.. (2019). Sfp1 links TORC1 and cell growth regulation to the yeast SAGA‐complex component Tra1 in response to polyQ proteotoxicity. Traffic. 20(4). 267–283. 6 indexed citations
17.
Berg, Matthew D., et al.. (2019). matthewberg22/tRNA-Analysis: Analysis of sequencing reads containing tRNA-encoding genes. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
18.
Lant, Jeremy T., Matthew D. Berg, Ilka U. Heinemann, Christopher J. Brandl, & Patrick O’Donoghue. (2019). Pathways to disease from natural variations in human cytoplasmic tRNAs. Journal of Biological Chemistry. 294(14). 5294–5308. 59 indexed citations
19.
Berg, Matthew D., et al.. (2018). Acceptor Stem Differences Contribute to Species-Specific Use of Yeast and Human tRNASer. Genes. 9(12). 612–612. 8 indexed citations
20.
Hoffman, Kyle, Matthew D. Berg, Brian H. Shilton, Christopher J. Brandl, & Patrick O’Donoghue. (2016). Genetic selection for mistranslation rescues a defective co-chaperone in yeast. Nucleic Acids Research. 45(6). 3407–3421. 36 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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