Jared M. Schrader

1.5k total citations
33 papers, 943 citations indexed

About

Jared M. Schrader is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Jared M. Schrader has authored 33 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 17 papers in Genetics and 7 papers in Ecology. Recurrent topics in Jared M. Schrader's work include RNA and protein synthesis mechanisms (24 papers), Bacterial Genetics and Biotechnology (17 papers) and RNA modifications and cancer (13 papers). Jared M. Schrader is often cited by papers focused on RNA and protein synthesis mechanisms (24 papers), Bacterial Genetics and Biotechnology (17 papers) and RNA modifications and cancer (13 papers). Jared M. Schrader collaborates with scholars based in United States, Denmark and Israel. Jared M. Schrader's co-authors include Olke C. Uhlenbeck, W. Seth Childers, Stephen J. Chapman, Lucy Shapiro, Dylan T. Tomares, Nadra Al-Husini, Harley H. McAdams, Bo Zhou, Gene‐Wei Li and Jonathan S. Weissman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jared M. Schrader

30 papers receiving 941 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jared M. Schrader United States 15 869 397 185 40 30 33 943
Joshua A. Mosberg United States 8 1.0k 1.2× 441 1.1× 150 0.8× 24 0.6× 28 0.9× 8 1.1k
Irene S. Tan United States 6 435 0.5× 203 0.5× 171 0.9× 26 0.7× 39 1.3× 7 639
Masayuki Su’etsugu Japan 16 670 0.8× 517 1.3× 78 0.4× 39 1.0× 54 1.8× 31 770
Jelger A. Lycklama a Nijeholt Netherlands 8 374 0.4× 271 0.7× 109 0.6× 44 1.1× 62 2.1× 8 527
Kenji Keyamura Japan 13 828 1.0× 679 1.7× 105 0.6× 68 1.7× 48 1.6× 18 948
Alan Greener United States 13 653 0.8× 352 0.9× 171 0.9× 28 0.7× 54 1.8× 16 813
Kenneth Zahn United States 13 759 0.9× 334 0.8× 242 1.3× 20 0.5× 60 2.0× 17 916
Nathalie Sassoon France 14 500 0.6× 222 0.6× 91 0.5× 51 1.3× 93 3.1× 16 676
V. K. Ravin Russia 12 392 0.5× 157 0.4× 230 1.2× 30 0.8× 17 0.6× 22 527
Kazuyuki Fujimitsu Japan 14 965 1.1× 830 2.1× 115 0.6× 94 2.4× 65 2.2× 15 1.1k

Countries citing papers authored by Jared M. Schrader

Since Specialization
Citations

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

Fields of papers citing papers by Jared M. Schrader

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jared M. Schrader

This figure shows the co-authorship network connecting the top 25 collaborators of Jared M. Schrader. A scholar is included among the top collaborators of Jared M. Schrader 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 Jared M. Schrader. Jared M. Schrader 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.
Ortiz‐Rodríguez, Luis A., et al.. (2025). Stress changes the material state of a bacterial biomolecular condensate and shifts its function from mRNA decay to storage. Nature Communications. 16(1). 10019–10019.
2.
Al-Husini, Nadra, et al.. (2025). Rif-seq reveals Caulobacter crescentus mRNA decay is globally coordinated with transcription and translation. Cell Reports. 44(12). 116691–116691.
3.
Tomares, Dylan T., Hadi M. Yassine, James Velier, et al.. (2025). BR-bodies facilitate adaptive responses and survival during copper stress in Caulobacter crescentus. Journal of Biological Chemistry. 301(10). 110648–110648. 2 indexed citations
4.
Yassine, Hadi M., et al.. (2025). APEX2 proximity labeling of RNA in bacteria. Cell Reports Methods. 5(11). 101206–101206. 1 indexed citations
5.
O’Brien, Michael J., Jared M. Schrader, & Athar Ansari. (2024). TFIIB–Termination Factor Interaction Affects Termination of Transcription on Genome-Wide Scale. International Journal of Molecular Sciences. 25(16). 8643–8643.
6.
Al-Husini, Nadra, et al.. (2024). Caulobacter crescentus RNase E condensation contributes to autoregulation and fitness. Molecular Biology of the Cell. 35(8). ar104–ar104. 5 indexed citations
7.
Schrader, Jared M., et al.. (2023). The DEAD-box RNA helicase RhlB is required for efficient RNA processing at low temperature in Caulobacter. Microbiology Spectrum. 11(6). e0193423–e0193423. 3 indexed citations
8.
Tomares, Dylan T., et al.. (2023). RNase E biomolecular condensates stimulate PNPase activity. Scientific Reports. 13(1). 12937–12937. 12 indexed citations
9.
Ortiz‐Rodríguez, Luis A., Hadi M. Yassine, Julie S. Biteen, et al.. (2023). The BR-body proteome contains a complex network of protein-protein and protein-RNA interactions. Cell Reports. 42(10). 113229–113229. 11 indexed citations
10.
Schrader, Jared M., et al.. (2021). Roles of liquid–liquid phase separation in bacterial RNA metabolism. Current Opinion in Microbiology. 61. 91–98. 30 indexed citations
11.
Tomares, Dylan T., et al.. (2020). Phase‐separated bacterial ribonucleoprotein bodies organize mRNA decay. Wiley Interdisciplinary Reviews - RNA. 11(6). e1599–e1599. 22 indexed citations
12.
Al-Husini, Nadra, et al.. (2020). Differential Centrifugation to Enrich Bacterial Ribonucleoprotein Bodies (BR bodies) from Caulobacter crescentus. STAR Protocols. 1(3). 100205–100205. 4 indexed citations
13.
Al-Husini, Nadra, et al.. (2020). BR-Bodies Provide Selectively Permeable Condensates that Stimulate mRNA Decay and Prevent Release of Decay Intermediates. Molecular Cell. 78(4). 670–682.e8. 63 indexed citations
14.
15.
Wang, Jiarui, et al.. (2018). Spatial organization and dynamics of RNase E and ribosomes in Caulobacter crescentus. Proceedings of the National Academy of Sciences. 115(16). E3712–E3721. 52 indexed citations
16.
Uhlenbeck, Olke C. & Jared M. Schrader. (2018). Evolutionary tuning impacts the design of bacterial tRNAs for the incorporation of unnatural amino acids by ribosomes. Current Opinion in Chemical Biology. 46. 138–145. 33 indexed citations
17.
Al-Husini, Nadra, et al.. (2018). α-Proteobacterial RNA Degradosomes Assemble Liquid-Liquid Phase-Separated RNP Bodies. Molecular Cell. 71(6). 1027–1039.e14. 146 indexed citations
18.
Zhou, Bo, Jared M. Schrader, Virginia S. Kalogeraki, et al.. (2015). The Global Regulatory Architecture of Transcription during the Caulobacter Cell Cycle. PLoS Genetics. 11(1). e1004831–e1004831. 94 indexed citations
19.
Lasker, Keren, et al.. (2015). CauloBrowser: A systems biology resource forCaulobacter crescentus. Nucleic Acids Research. 44(D1). D640–D645. 18 indexed citations
20.
Schrader, Jared M., Stephen J. Chapman, & Olke C. Uhlenbeck. (2009). Understanding the Sequence Specificity of tRNA Binding to Elongation Factor Tu using tRNA Mutagenesis. Journal of Molecular Biology. 386(5). 1255–1264. 65 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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