Timothy E. Audas

1.7k total citations
27 papers, 1.2k citations indexed

About

Timothy E. Audas is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Timothy E. Audas has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Cell Biology and 5 papers in Epidemiology. Recurrent topics in Timothy E. Audas's work include Endoplasmic Reticulum Stress and Disease (10 papers), RNA modifications and cancer (10 papers) and RNA Research and Splicing (10 papers). Timothy E. Audas is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (10 papers), RNA modifications and cancer (10 papers) and RNA Research and Splicing (10 papers). Timothy E. Audas collaborates with scholars based in Canada, United States and United Kingdom. Timothy E. Audas's co-authors include Stephen Lee, Mathieu D. Jacob, Genqing Liang, Rui Lu, Stephen Lee, Miling Wang, James Uniacke, Laura Trinkle‐Mulcahy, Mark L. Gonzalgo and J.J.David Ho and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Timothy E. Audas

27 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy E. Audas Canada 16 960 298 255 159 99 27 1.2k
Jan H. Reiling Germany 11 546 0.6× 223 0.7× 113 0.4× 113 0.7× 77 0.8× 12 841
Douglas E. Feldman United States 16 957 1.0× 386 1.3× 246 1.0× 235 1.5× 51 0.5× 20 1.3k
Stefan G. Kreft Germany 17 1.2k 1.3× 665 2.2× 336 1.3× 307 1.9× 66 0.7× 22 1.5k
Nouf N. Laqtom United States 10 756 0.8× 273 0.9× 213 0.8× 403 2.5× 239 2.4× 15 1.3k
Joppe Nieuwenhuis Netherlands 12 962 1.0× 333 1.1× 123 0.5× 193 1.2× 60 0.6× 13 1.4k
Babak Oskouian United States 19 1.1k 1.2× 346 1.2× 103 0.4× 110 0.7× 233 2.4× 26 1.3k
Karolina Peplowska United States 14 844 0.9× 727 2.4× 214 0.8× 145 0.9× 113 1.1× 22 1.3k
Guillaume A. Castillon United States 14 781 0.8× 477 1.6× 158 0.6× 93 0.6× 110 1.1× 19 1.1k
Tram Anh T. Tran United States 12 713 0.7× 115 0.4× 135 0.5× 220 1.4× 115 1.2× 17 1.0k
Hsiangling Teo Singapore 14 895 0.9× 463 1.6× 196 0.8× 98 0.6× 277 2.8× 19 1.3k

Countries citing papers authored by Timothy E. Audas

Since Specialization
Citations

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

Fields of papers citing papers by Timothy E. Audas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy E. Audas. 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 Timothy E. Audas. The network helps show where Timothy E. Audas may publish in the future.

Co-authorship network of co-authors of Timothy E. Audas

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy E. Audas. A scholar is included among the top collaborators of Timothy E. Audas 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 Timothy E. Audas. Timothy E. Audas 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.
Zapf, Richard, et al.. (2025). PI3K/AKT signaling mediates stress-inducible amyloid formation through c-Myc. Cell Reports. 44(5). 115617–115617. 2 indexed citations
2.
Zapf, Richard, et al.. (2024). Protein thermal sensing regulates physiological amyloid aggregation. Nature Communications. 15(1). 1222–1222. 4 indexed citations
3.
Zapf, Richard, et al.. (2023). Stress-mediated aggregation of disease-associated proteins in amyloid bodies. Scientific Reports. 13(1). 14471–14471. 9 indexed citations
4.
Audas, Timothy E., et al.. (2022). Keeping up with the condensates: The retention, gain, and loss of nuclear membrane-less organelles. Frontiers in Molecular Biosciences. 9. 998363–998363. 15 indexed citations
5.
Coyle, Krysta M., et al.. (2020). Perturbations in HNRNPH1 Splicing and Abundance Affect Global Splicing and Proliferation in Mantle Cell Lymphoma. Blood. 136(Supplement 1). 23–24. 1 indexed citations
6.
Audas, Timothy E., et al.. (2019). Stress‐specific aggregation of proteins in the amyloid bodies. FEBS Letters. 593(22). 3162–3172. 29 indexed citations
7.
Wang, Miling, Mathieu D. Jacob, J.J.David Ho, et al.. (2018). Stress-Induced Low Complexity RNA Activates Physiological Amyloidogenesis. Cell Reports. 24(7). 1713–1721.e4. 76 indexed citations
8.
Wang, Miling, Timothy E. Audas, & Stephen Lee. (2017). Disentangling a Bad Reputation: Changing Perceptions of Amyloids. Trends in Cell Biology. 27(7). 465–467. 14 indexed citations
9.
Audas, Timothy E., Mathieu D. Jacob, J.J.David Ho, et al.. (2016). Adaptation to Stressors by Systemic Protein Amyloidogenesis. Developmental Cell. 39(2). 155–168. 133 indexed citations
10.
Audas, Timothy E., et al.. (2016). Characterization of nuclear foci-targeting of Luman/CREB3 recruitment factor (LRF/CREBRF) and its potential role in inhibition of herpes simplex virus-1 replication. European Journal of Cell Biology. 95(12). 611–622. 11 indexed citations
11.
Ho, J.J.David, Miling Wang, Timothy E. Audas, et al.. (2016). Systemic Reprogramming of Translation Efficiencies on Oxygen Stimulus. Cell Reports. 14(6). 1293–1300. 67 indexed citations
12.
Audas, Timothy E. & Stephen Lee. (2015). Stressing out over long noncoding RNA. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1859(1). 184–191. 44 indexed citations
13.
Tessier, Shannon N., Timothy E. Audas, Cheng‐Wei Wu, Stephen Lee, & Kenneth B. Storey. (2014). The involvement of mRNA processing factors TIA-1, TIAR, and PABP-1 during mammalian hibernation. Cell Stress and Chaperones. 19(6). 813–825. 14 indexed citations
14.
Jacob, Mathieu D., Timothy E. Audas, James Uniacke, Laura Trinkle‐Mulcahy, & Stephen Lee. (2013). Environmental cues induce a long noncoding RNA–dependent remodeling of the nucleolus. Molecular Biology of the Cell. 24(18). 2943–2953. 91 indexed citations
15.
Audas, Timothy E., Mathieu D. Jacob, & Stephen Lee. (2012). Immobilization of Proteins in the Nucleolus by Ribosomal Intergenic Spacer Noncoding RNA. Molecular Cell. 45(2). 147–157. 207 indexed citations
16.
Audas, Timothy E., et al.. (2012). Herpes simplex virus-1 disarms the unfolded protein response in the early stages of infection. Cell Stress and Chaperones. 17(4). 473–483. 64 indexed citations
17.
Jacob, Mathieu D., et al.. (2012). Where no RNA polymerase has gone before. Nucleus. 3(4). 315–319. 32 indexed citations
18.
Audas, Timothy E., Mathieu D. Jacob, & Stephen Lee. (2012). The nucleolar detention pathway. Cell Cycle. 11(11). 2059–2062. 44 indexed citations
19.
Audas, Timothy E., Yu Li, Genqing Liang, & Rui Lu. (2008). A Novel Protein, Luman/CREB3 Reruitment Factor, Inhibits Luman Activation of the Unfolded Protein Response. Molecular and Cellular Biology. 28(12). 3952–3966. 70 indexed citations
20.
Audas, Timothy E., et al.. (2005). Luman is capable of binding and activating transcription from the unfolded protein response element. Biochemical and Biophysical Research Communications. 331(1). 113–119. 78 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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