Jennifer A. Broderick

1.0k total citations
9 papers, 775 citations indexed

About

Jennifer A. Broderick is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Jennifer A. Broderick has authored 9 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cancer Research and 1 paper in Immunology. Recurrent topics in Jennifer A. Broderick's work include RNA Research and Splicing (5 papers), RNA Interference and Gene Delivery (4 papers) and MicroRNA in disease regulation (4 papers). Jennifer A. Broderick is often cited by papers focused on RNA Research and Splicing (5 papers), RNA Interference and Gene Delivery (4 papers) and MicroRNA in disease regulation (4 papers). Jennifer A. Broderick collaborates with scholars based in United States, Germany and China. Jennifer A. Broderick's co-authors include Phillip D. Zamore, Athena Andreadis, Kenneth S. Kosik, Neil Aronin, William E. Salomon, Seán Ryder, Bridget K. Wagner, Huapeng Li, Zhiping Weng and Guangping Gao and has published in prestigious journals such as Nucleic Acids Research, Nature Methods and Journal of Neurochemistry.

In The Last Decade

Jennifer A. Broderick

8 papers receiving 766 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer A. Broderick United States 8 620 409 98 63 48 9 775
Fabiana Passaro Italy 17 583 0.9× 198 0.5× 107 1.1× 32 0.5× 63 1.3× 26 761
Mallory A. Havens United States 10 923 1.5× 393 1.0× 39 0.4× 28 0.4× 92 1.9× 14 1.1k
Ryan M. Spengler United States 15 919 1.5× 615 1.5× 19 0.2× 88 1.4× 70 1.5× 20 1.1k
Gillian Vogel Canada 15 846 1.4× 162 0.4× 72 0.7× 15 0.2× 57 1.2× 17 951
Chantal Beekman Netherlands 8 474 0.8× 178 0.4× 58 0.6× 90 1.4× 38 0.8× 11 686
Anne E. Conway United States 6 735 1.2× 72 0.2× 54 0.6× 65 1.0× 89 1.9× 7 820
Ching-Yu Chuang Taiwan 8 516 0.8× 251 0.6× 51 0.5× 32 0.5× 35 0.7× 9 603
Julia K. Nussbacher United States 10 672 1.1× 215 0.5× 17 0.2× 35 0.6× 28 0.6× 10 809
Soheila Sharghi-Namini Singapore 9 418 0.7× 183 0.4× 16 0.2× 92 1.5× 36 0.8× 9 547
Zulekha A. Qadeer United States 8 497 0.8× 62 0.2× 56 0.6× 39 0.6× 71 1.5× 8 621

Countries citing papers authored by Jennifer A. Broderick

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer A. Broderick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer A. Broderick

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

All Works

9 of 9 papers shown
1.
Wang, Jiayi, Jennifer A. Broderick, Mina Zamani, et al.. (2025). Absolute quantification of mammalian microRNAs for therapeutic RNA cleavage and detargeting. RNA. 31(8). 1081–1090.
2.
Xie, Jun, Stefan L. Ameres, Randall H. Friedline, et al.. (2012). Long-term, efficient inhibition of microRNA function in mice using rAAV vectors. Nature Methods. 9(4). 403–409. 172 indexed citations
3.
Broderick, Jennifer A., William E. Salomon, Seán Ryder, Neil Aronin, & Phillip D. Zamore. (2011). Argonaute protein identity and pairing geometry determine cooperativity in mammalian RNA silencing. RNA. 17(10). 1858–1869. 106 indexed citations
4.
Broderick, Jennifer A. & Phillip D. Zamore. (2011). MicroRNA therapeutics. Gene Therapy. 18(12). 1104–1110. 334 indexed citations
5.
Broderick, Jennifer A., Min‐Hua Luo, Deborah F. Smith, et al.. (2005). Identification, expression analysis, genomic organization and cellular location of a novel protein with a RhoGEF domain. Gene. 359. 63–72. 14 indexed citations
6.
Broderick, Jennifer A., Junning Wang, & Athena Andreadis. (2004). Heterogeneous nuclear ribonucleoprotein E2 binds to tau exon 10 and moderately activates its splicing. Gene. 331. 107–114. 24 indexed citations
7.
Arıkan, Meltem, John Memmott, Jennifer A. Broderick, et al.. (2002). Modulation of the membrane-binding projection domain of tau protein: splicing regulation of exon 3. Molecular Brain Research. 101(1-2). 109–121. 24 indexed citations
8.
Andreadis, Athena, Bridget K. Wagner, Jennifer A. Broderick, & Kenneth S. Kosik. (1996). A τ Promoter Region Without Neuronal Specificity. Journal of Neurochemistry. 66(6). 2257–2263. 39 indexed citations
9.
Andreadis, Athena, Jennifer A. Broderick, & Kenneth S. Kosik. (1995). Relative exon affinities and suboptimal splice site signals lead to non-equivalence of two cassette exons. Nucleic Acids Research. 23(17). 3585–3593. 62 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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