Joann Wu

715 total citations
11 papers, 557 citations indexed

About

Joann Wu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Joann Wu has authored 11 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in Joann Wu's work include RNA Research and Splicing (4 papers), CRISPR and Genetic Engineering (3 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Joann Wu is often cited by papers focused on RNA Research and Splicing (4 papers), CRISPR and Genetic Engineering (3 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). Joann Wu collaborates with scholars based in United States and Belgium. Joann Wu's co-authors include Julia Marín‐Navarro, Stephen P. Mayfield, Andrea L. Manuell, Richard D. Kolodner, Kristina Schmidt, Stephen S. Chen, Gourisankar Ghosh, David Siefker, Miller Tran and Yi Chen and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Blood.

In The Last Decade

Joann Wu

11 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joann Wu United States 10 485 133 86 63 40 11 557
Wenzhi Jiang China 10 433 0.9× 166 1.2× 124 1.4× 21 0.3× 23 0.6× 15 595
Christophe Dez France 16 1.0k 2.1× 46 0.3× 58 0.7× 64 1.0× 27 0.7× 25 1.1k
Jungeun Kim South Korea 6 384 0.8× 180 1.4× 24 0.3× 112 1.8× 15 0.4× 16 506
Kazuko H. Nomura Japan 11 290 0.6× 22 0.2× 53 0.6× 20 0.3× 19 0.5× 15 478
Emmanuel Kamberov United States 6 416 0.9× 30 0.2× 60 0.7× 40 0.6× 46 1.1× 8 629
Damien Hermand Belgium 22 1.1k 2.4× 34 0.3× 104 1.2× 113 1.8× 27 0.7× 44 1.2k
Jane Fellows United Kingdom 8 1.1k 2.2× 22 0.2× 159 1.8× 47 0.7× 40 1.0× 8 1.2k
Shawn J. Szyjka United States 8 509 1.0× 66 0.5× 62 0.7× 58 0.9× 4 0.1× 8 559
Aaron C. Daugherty United States 6 457 0.9× 11 0.1× 53 0.6× 53 0.8× 41 1.0× 7 554
Adam T. Watson United Kingdom 19 865 1.8× 24 0.2× 182 2.1× 53 0.8× 5 0.1× 33 943

Countries citing papers authored by Joann Wu

Since Specialization
Citations

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

Fields of papers citing papers by Joann Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joann Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Joann Wu. A scholar is included among the top collaborators of Joann 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 Joann Wu. Joann 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.
Liu, Hui, Joann Wu, Christof Fellmann, et al.. (2018). Extension of the crRNA enhances Cpf1 gene editing in vitro and in vivo. Nature Communications. 9(1). 3313–3313. 81 indexed citations
2.
Wang, Xinxin, Burton E. Barnett, Christopher E. Martin, et al.. (2017). Production of Universal Anti-Bcma CAR-T Cells with Reduced Alloreactivity, but Potent Effector Function for the Treatment of Multiple Myeloma. Blood. 130. 503–503. 3 indexed citations
3.
4.
Campbell, Zachary T., Kyle Friend, Joann Wu, et al.. (2012). Identification of a Conserved Interface between PUF and CPEB Proteins. Journal of Biological Chemistry. 287(22). 18854–18862. 37 indexed citations
5.
Wu, Joann, et al.. (2012). A Protein⋅Protein Interaction Platform Involved in Recruitment of GLD-3 to the FBF⋅fem-3 mRNA Complex. Journal of Molecular Biology. 425(4). 738–754. 16 indexed citations
6.
Wu, Joann, et al.. (2010). High-affinity consensus binding of target RNAs by the STAR/GSG proteins GLD-1, STAR-2 and Quaking. BMC Molecular Biology. 11(1). 48–48. 14 indexed citations
7.
Marín‐Navarro, Julia, Andrea L. Manuell, Joann Wu, & Stephen P. Mayfield. (2007). Chloroplast translation regulation. Photosynthesis Research. 94(2-3). 359–374. 124 indexed citations
8.
Mayfield, Stephen P., Andrea L. Manuell, Stephen S. Chen, et al.. (2007). Chlamydomonas reinhardtii chloroplasts as protein factories. Current Opinion in Biotechnology. 18(2). 126–133. 138 indexed citations
9.
Schmidt, Kristina, Joann Wu, & Richard D. Kolodner. (2006). Control of Translocations between Highly Diverged Genes by Sgs1, the Saccharomyces cerevisiae Homolog of the Bloom'sSyndrome Protein. Molecular and Cellular Biology. 26(14). 5406–5420. 55 indexed citations
10.
Chen, Yi, Sébastien Vallée, Joann Wu, et al.. (2004). Inhibition of NF-κB Activity by IκBβ in Association with κB-Ras. Molecular and Cellular Biology. 24(7). 3048–3056. 42 indexed citations
11.
Chen, Yi, Joann Wu, & Gourisankar Ghosh. (2003). κB-Ras Binds to the Unique Insert within the Ankyrin Repeat Domain of IκBβ and Regulates Cytoplasmic Retention of IκBβ·NF-κB Complexes. Journal of Biological Chemistry. 278(25). 23101–23106. 31 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026