Chase A. Weidmann

2.0k total citations · 1 hit paper
23 papers, 1.3k citations indexed

About

Chase A. Weidmann is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Chase A. Weidmann has authored 23 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Chase A. Weidmann's work include RNA Research and Splicing (21 papers), RNA and protein synthesis mechanisms (20 papers) and RNA modifications and cancer (17 papers). Chase A. Weidmann is often cited by papers focused on RNA Research and Splicing (21 papers), RNA and protein synthesis mechanisms (20 papers) and RNA modifications and cancer (17 papers). Chase A. Weidmann collaborates with scholars based in United States, Italy and Poland. Chase A. Weidmann's co-authors include Kevin M. Weeks, Aaron C. Goldstrohm, Amy S. Gladfelter, Grace A. McLaughlin, Jamie Van Etten, Therese M. Gerbich, John Crutchley, Jean A. Smith, Amirhossein Ghanbari Niaki and Yupeng Qiu and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Chase A. Weidmann

21 papers receiving 1.3k citations

Hit Papers

mRNA structure determines specificity of a polyQ-driven p... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chase A. Weidmann United States 13 1.2k 147 95 72 54 23 1.3k
Sophie Martin United States 11 1.1k 0.9× 75 0.5× 49 0.5× 63 0.9× 59 1.1× 12 1.2k
Sarah F. Mitchell United States 14 1.8k 1.5× 121 0.8× 37 0.4× 69 1.0× 58 1.1× 20 1.9k
Nicole Lambert United States 15 1.3k 1.1× 262 1.8× 69 0.7× 47 0.7× 48 0.9× 27 1.4k
Rafał Tomecki Poland 23 1.8k 1.5× 182 1.2× 39 0.4× 75 1.0× 40 0.7× 37 1.9k
Beáta E. Jády France 16 1.7k 1.4× 261 1.8× 29 0.3× 59 0.8× 36 0.7× 22 1.9k
Greco Hernández Mexico 20 834 0.7× 160 1.1× 18 0.2× 79 1.1× 61 1.1× 49 990
Ritwick Sawarkar Germany 16 777 0.6× 56 0.4× 43 0.5× 62 0.9× 20 0.4× 29 920
Patrick B. F. O’Connor Ireland 15 1.0k 0.9× 100 0.7× 17 0.2× 46 0.6× 45 0.8× 21 1.1k
Guramrit Singh United States 19 1.7k 1.4× 158 1.1× 25 0.3× 55 0.8× 78 1.4× 32 1.8k
Christine Strand United States 7 819 0.7× 62 0.4× 31 0.3× 63 0.9× 35 0.6× 7 995

Countries citing papers authored by Chase A. Weidmann

Since Specialization
Citations

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

Fields of papers citing papers by Chase A. Weidmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chase A. Weidmann. 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 Chase A. Weidmann. The network helps show where Chase A. Weidmann may publish in the future.

Co-authorship network of co-authors of Chase A. Weidmann

This figure shows the co-authorship network connecting the top 25 collaborators of Chase A. Weidmann. A scholar is included among the top collaborators of Chase A. Weidmann 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 Chase A. Weidmann. Chase A. Weidmann 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.
Klein, Barbara, et al.. (2025). SHAPE-Based Chemical Probes for Studying preQ 1 –RNA Interactions in Living Bacteria. ACS Chemical Biology. 20(11). 2689–2697. 1 indexed citations
2.
Hao, Xiaoxiao, Divya Sahu, Chase A. Weidmann, et al.. (2025). A 36-base hairpin within lncRNA DRAIC, which is modulated by alternative splicing, interacts with the IKKα coiled-coil domain and inhibits NF-κB and tumor cell phenotypes. Journal of Biological Chemistry. 301(6). 110172–110172.
3.
Huang, Kai-Lieh, Chase A. Weidmann, Thomas A. Randall, et al.. (2024). The TRIM-NHL RNA-binding protein Brain Tumor coordinately regulates expression of the glycolytic pathway and vacuolar ATPase complex. Nucleic Acids Research. 52(20). 12669–12688. 1 indexed citations
4.
Gold, Scott E., et al.. (2024). Template switching enables chemical probing of native RNA structures. RNA. 31(1). 113–125. 1 indexed citations
5.
Weidmann, Chase A., et al.. (2024). Functional Validation of SAM Riboswitch Element A from Listeria monocytogenes. Biochemistry. 63(20). 2621–2631.
6.
Weidmann, Chase A., et al.. (2023). Structural analysis of MALAT1 long noncoding RNA in cells and in evolution. RNA. 29(5). 691–704. 8 indexed citations
7.
Mustoe, Anthony M., Chase A. Weidmann, & Kevin M. Weeks. (2023). Single-Molecule Correlated Chemical Probing: A Revolution in RNA Structure Analysis. Accounts of Chemical Research. 56(7). 763–775. 10 indexed citations
8.
Weidmann, Chase A., et al.. (2023). Measuring Proximity-Mediated Function of mRNA Regulatory Proteins by Engineered Tethering. Methods in molecular biology. 2723. 143–159. 1 indexed citations
9.
Turner, Anne‐Marie W., et al.. (2022). Discovery of a large-scale, cell-state-responsive allosteric switch in the 7SK RNA using DANCE-MaP. Molecular Cell. 82(9). 1708–1723.e10. 52 indexed citations
10.
Weidmann, Chase A., Shekhar Saha, Piotr Przanowski, et al.. (2022). Distinct MUNC lncRNA structural domains regulate transcription of different promyogenic factors. Cell Reports. 38(7). 110361–110361. 23 indexed citations
11.
Weidmann, Chase A., Lela Lackey, Anthony M. Mustoe, et al.. (2022). Global 5′-UTR RNA structure regulates translation of a SERPINA1 mRNA. Nucleic Acids Research. 50(17). 9689–9704. 12 indexed citations
12.
Schmidt, Karyn, Chase A. Weidmann, Thomas A. Hilimire, et al.. (2020). Targeting the Oncogenic Long Non-coding RNA SLNCR1 by Blocking Its Sequence-Specific Binding to the Androgen Receptor. Cell Reports. 30(2). 541–554.e5. 54 indexed citations
13.
Weidmann, Chase A., Anthony M. Mustoe, Parth B. Jariwala, J. Mauro Calabrese, & Kevin M. Weeks. (2020). Analysis of RNA–protein networks with RNP-MaP defines functional hubs on RNA. Nature Biotechnology. 39(3). 347–356. 50 indexed citations
14.
Iserman, Christiane, Christine Roden, Mark A. Boerneke, et al.. (2020). Genomic RNA Elements Drive Phase Separation of the SARS-CoV-2 Nucleocapsid. Molecular Cell. 80(6). 1078–1091.e6. 240 indexed citations
15.
Busan, Steven, et al.. (2019). Guidelines for SHAPE Reagent Choice and Detection Strategy for RNA Structure Probing Studies. Biochemistry. 58(23). 2655–2664. 98 indexed citations
16.
Langdon, Erin M., Yupeng Qiu, Amirhossein Ghanbari Niaki, et al.. (2018). mRNA structure determines specificity of a polyQ-driven phase separation. Science. 360(6391). 922–927. 382 indexed citations breakdown →
18.
Weidmann, Chase A., et al.. (2014). The RNA binding domain of Pumilio antagonizes poly-adenosine binding protein and accelerates deadenylation. RNA. 20(8). 1298–1319. 60 indexed citations
19.
Etten, Jamie Van, Trista Schagat, Joel Hrit, et al.. (2012). Human Pumilio Proteins Recruit Multiple Deadenylases to Efficiently Repress Messenger RNAs. Journal of Biological Chemistry. 287(43). 36370–36383. 145 indexed citations
20.
Weidmann, Chase A. & Aaron C. Goldstrohm. (2011). Drosophila Pumilio Protein Contains Multiple Autonomous Repression Domains That Regulate mRNAs Independently of Nanos and Brain Tumor. Molecular and Cellular Biology. 32(2). 527–540. 58 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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