Monica Z. Wu

749 total citations
11 papers, 517 citations indexed

About

Monica Z. Wu is a scholar working on Molecular Biology, Aging and Pharmacology. According to data from OpenAlex, Monica Z. Wu has authored 11 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Aging and 1 paper in Pharmacology. Recurrent topics in Monica Z. Wu's work include RNA Research and Splicing (6 papers), CRISPR and Genetic Engineering (5 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Monica Z. Wu is often cited by papers focused on RNA Research and Splicing (6 papers), CRISPR and Genetic Engineering (5 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Monica Z. Wu collaborates with scholars based in Canada, United States and Australia. Monica Z. Wu's co-authors include Julie M. Claycomb, Christopher J. Wedeles, Bijoyita Roy, George Tzertzinis, Haruichi Asahara, Michelle L. Dubuke, Zahra Batool, Malgorzata Dobosz-Bartoszek, Kristin S. Koutmou and Daniel E. Eyler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Developmental Cell.

In The Last Decade

Monica Z. Wu

11 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monica Z. Wu Canada 8 472 147 93 64 59 11 517
Piergiuseppe Quarato France 8 293 0.6× 63 0.4× 83 0.9× 44 0.7× 45 0.8× 10 351
Ayelet T. Lamm Israel 13 456 1.0× 119 0.8× 63 0.7× 71 1.1× 22 0.4× 20 507
Elif Sarinay Cenik United States 8 409 0.9× 23 0.2× 88 0.9× 69 1.1× 40 0.7× 17 514
Sudharshan Rangarajan United States 2 579 1.2× 69 0.5× 69 0.7× 30 0.5× 115 1.9× 2 601
Y. Esther Tak United States 5 635 1.3× 53 0.4× 81 0.9× 14 0.2× 95 1.6× 7 648
Emma Kneuss United Kingdom 6 546 1.2× 36 0.2× 378 4.1× 88 1.4× 67 1.1× 8 631
James Y.S. Kim United States 2 397 0.8× 35 0.2× 37 0.4× 23 0.4× 81 1.4× 2 442
Paul Ryvkin United States 11 624 1.3× 18 0.1× 91 1.0× 108 1.7× 52 0.9× 17 728
Wendy M. Olivas United States 14 915 1.9× 18 0.1× 64 0.7× 47 0.7× 27 0.5× 20 990
Heiko Schober Switzerland 7 848 1.8× 33 0.2× 136 1.5× 35 0.5× 60 1.0× 7 895

Countries citing papers authored by Monica Z. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Monica Z. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Monica Z. Wu. 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 Monica Z. Wu. The network helps show where Monica Z. Wu may publish in the future.

Co-authorship network of co-authors of Monica Z. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Monica Z. Wu. A scholar is included among the top collaborators of Monica Z. Wu 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 Monica Z. Wu. Monica Z. Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Xie, Yunchang, Li‐Chun Tu, Monica Z. Wu, et al.. (2024). Genome-Based Mining of Carpatamides I–M and Their Candidate Biosynthetic Gene Cluster. Marine Drugs. 22(11). 521–521. 2 indexed citations
2.
Wu, Monica Z., Haruichi Asahara, George Tzertzinis, & Bijoyita Roy. (2020). Synthesis of low immunogenicity RNA with high-temperature in vitro transcription. RNA. 26(3). 345–360. 93 indexed citations
3.
Roy, Bijoyita & Monica Z. Wu. (2019). Understanding and Overcoming the Immune Response from Synthetic mRNAs. Genetic Engineering & Biotechnology News. 39(12). 56–58. 6 indexed citations
4.
Eyler, Daniel E., Zahra Batool, Monica Z. Wu, et al.. (2019). Pseudouridinylation of mRNA coding sequences alters translation. Proceedings of the National Academy of Sciences. 116(46). 23068–23074. 151 indexed citations
5.
Davis, Gregory M., Shikui Tu, Menachem J. Gunzburg, et al.. (2018). The TRIM-NHL protein NHL-2 is a co-factor in the nuclear and somatic RNAi pathways in C. elegans. eLife. 7. 12 indexed citations
6.
Nabih, Amena, et al.. (2017). Examining the intersection between splicing, nuclear export and small RNA pathways. Biochimica et Biophysica Acta (BBA) - General Subjects. 1861(11). 2948–2955. 2 indexed citations
7.
Tyc, Katarzyna M., et al.. (2017). The Conserved Intron Binding Protein EMB-4 Plays Differential Roles in Germline Small RNA Pathways of C. elegans. Developmental Cell. 42(3). 256–270.e6. 24 indexed citations
8.
Wedeles, Christopher J., Monica Z. Wu, & Julie M. Claycomb. (2014). Silent no more. PubMed. 3(2). e28641–e28641. 15 indexed citations
9.
Tu, Shikui, Monica Z. Wu, Jie Wang, et al.. (2014). Comparative functional characterization of the CSR-1 22G-RNA pathway in Caenorhabditis nematodes. Nucleic Acids Research. 43(1). 208–224. 32 indexed citations
10.
Wedeles, Christopher J., Monica Z. Wu, & Julie M. Claycomb. (2013). Protection of Germline Gene Expression by the C. elegans Argonaute CSR-1. Developmental Cell. 27(6). 664–671. 160 indexed citations
11.
Wedeles, Christopher J., Monica Z. Wu, & Julie M. Claycomb. (2013). A multitasking Argonaute: exploring the many facets of C. elegans CSR-1. Chromosome Research. 21(6-7). 573–586. 20 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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