Emily Wu

3.5k total citations · 1 hit paper
19 papers, 1.1k citations indexed

About

Emily Wu is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Emily Wu has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Plant Science and 7 papers in Biotechnology. Recurrent topics in Emily Wu's work include Plant tissue culture and regeneration (14 papers), Chromosomal and Genetic Variations (12 papers) and CRISPR and Genetic Engineering (9 papers). Emily Wu is often cited by papers focused on Plant tissue culture and regeneration (14 papers), Chromosomal and Genetic Variations (12 papers) and CRISPR and Genetic Engineering (9 papers). Emily Wu collaborates with scholars based in United States, China and Mexico. Emily Wu's co-authors include Todd J. Jones, Ajith Anand, William Gordon‐Kamm, Ning Wang, Keith Lowe, George Hoerster, Brian Lenderts, Zuo‐Yu Zhao, Mauricio La Rota and Craig Hastings and has published in prestigious journals such as Development, Frontiers in Plant Science and Plant Molecular Biology.

In The Last Decade

Emily Wu

19 papers receiving 1.0k citations

Hit Papers

Leaf transformation for efficient random integration and ... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emily Wu United States 15 900 729 211 87 63 19 1.1k
B. Worland United Kingdom 15 750 0.8× 747 1.0× 311 1.5× 54 0.6× 37 0.6× 18 955
Janice Zale United States 14 839 0.9× 883 1.2× 125 0.6× 32 0.4× 75 1.2× 33 1.1k
Keunsub Lee United States 15 765 0.8× 665 0.9× 108 0.5× 67 0.8× 15 0.2× 32 941
Liza Conrad United States 9 709 0.8× 723 1.0× 98 0.5× 86 1.0× 19 0.3× 13 890
Etsuko Matsunaga Japan 14 814 0.9× 598 0.8× 451 2.1× 65 0.7× 15 0.2× 28 908
Melanie Craze United Kingdom 14 332 0.4× 744 1.0× 45 0.2× 86 1.0× 75 1.2× 21 799
Anja Reinstädler Germany 12 511 0.6× 1.1k 1.6× 88 0.4× 54 0.6× 13 0.2× 20 1.2k
Craig R. Lending United States 11 420 0.5× 474 0.7× 117 0.6× 73 0.8× 43 0.7× 17 780
Tomohiro Igasaki Japan 15 681 0.8× 703 1.0× 70 0.3× 36 0.4× 25 0.4× 24 839

Countries citing papers authored by Emily Wu

Since Specialization
Citations

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

Fields of papers citing papers by Emily Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily Wu

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

All Works

19 of 19 papers shown
1.
Jung, Mark, Lisa A. Marshall, Craig Hastings, et al.. (2024). Edited eukaryotic translation initiation factors confer resistance against maize lethal necrosis. Plant Biotechnology Journal. 22(12). 3523–3535. 1 indexed citations
2.
Wang, Ning, Nagesh Sardesai, Emily Wu, et al.. (2023). Leaf transformation for efficient random integration and targeted genome modification in maize and sorghum. Nature Plants. 9(2). 255–270. 90 indexed citations breakdown →
3.
Wu, Emily, et al.. (2023). Rapid and highly efficient morphogenic gene-mediated hexaploid wheat transformation. Frontiers in Plant Science. 14. 1151762–1151762. 17 indexed citations
4.
Che, Ping, Emily Wu, Marissa K. Simon, et al.. (2022). Wuschel2 enables highly efficient CRISPR/Cas-targeted genome editing during rapid de novo shoot regeneration in sorghum. Communications Biology. 5(1). 71 indexed citations
5.
Yu, Ling, Mingquan Yan, Tao Li, et al.. (2022). Hyaline cartilage differentiation of fibroblasts in regeneration and regenerative medicine. Development. 149(2). 13 indexed citations
6.
Wu, Emily, et al.. (2021). An Active Learning Model for Seagrass Detection in Remote Senseing Imagery. 113–118. 3 indexed citations
7.
Hoerster, George, Ning Wang, Emily Wu, et al.. (2020). Use of non-integrating Zm-Wus2 vectors to enhance maize transformation. In Vitro Cellular & Developmental Biology - Plant. 56(3). 265–279. 73 indexed citations
8.
Barone, Pierluigi, Emily Wu, Brian Lenderts, et al.. (2020). Efficient Gene Targeting in Maize Using Inducible CRISPR-Cas9 and Marker-free Donor Template. Molecular Plant. 13(8). 1219–1227. 61 indexed citations
9.
Wang, Ning, George Hoerster, Emily Wu, et al.. (2020). An Efficient Gene Excision System in Maize. Frontiers in Plant Science. 11. 18 indexed citations
10.
Anand, Ajith, Ping Che, Emily Wu, & Todd J. Jones. (2019). Novel Ternary Vectors for Efficient Sorghum Transformation. Methods in molecular biology. 1931. 185–196. 3 indexed citations
11.
Anand, Ajith, Emily Wu, Zhi Li, et al.. (2019). High efficiency Agrobacterium‐mediated site‐specific gene integration in maize utilizing the FLPFRT recombination system. Plant Biotechnology Journal. 17(8). 1636–1645. 35 indexed citations
12.
Lowe, Keith, Mauricio La Rota, George Hoerster, et al.. (2018). Rapid genotype “independent” Zea mays L. (maize) transformation via direct somatic embryogenesis. In Vitro Cellular & Developmental Biology - Plant. 54(3). 240–252. 232 indexed citations
13.
Anand, Ajith, Steven Bass, Emily Wu, et al.. (2018). An improved ternary vector system for Agrobacterium-mediated rapid maize transformation. Plant Molecular Biology. 97(1-2). 187–200. 95 indexed citations
14.
Jones, Todd J., Keith Lowe, George Hoerster, et al.. (2018). Maize Transformation Using the Morphogenic Genes Baby Boom and Wuschel2. Methods in molecular biology. 1864. 81–93. 40 indexed citations
15.
Che, Ping, Ajith Anand, Emily Wu, et al.. (2018). Developing a flexible, high‐efficiency Agrobacterium‐mediated sorghum transformation system with broad application. Plant Biotechnology Journal. 16(7). 1388–1395. 93 indexed citations
16.
Wu, Emily & Zuo‐Yu Zhao. (2017). Agrobacterium-Mediated Sorghum Transformation. Methods in molecular biology. 1669. 355–364. 19 indexed citations
17.
Cho, Myeong‐Je, Emily Wu, Ajith Anand, et al.. (2014). Agrobacterium-mediated high-frequency transformation of an elite commercial maize (Zea mays L.) inbred line. Plant Cell Reports. 33(10). 1767–1777. 54 indexed citations
18.
Wu, Emily, Brian Lenderts, Kimberly Glassman, et al.. (2013). Optimized Agrobacterium-mediated sorghum transformation protocol and molecular data of transgenic sorghum plants. In Vitro Cellular & Developmental Biology - Plant. 50(1). 9–18. 93 indexed citations
19.
Maeder, Céline I., Adriana San‐Miguel, Emily Wu, Hang Lu, & Kang Shen. (2013). In Vivo Neuron‐Wide Analysis of Synaptic Vesicle Precursor Trafficking. Traffic. 15(3). 273–291. 55 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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