Shu‐Zon Wu

997 total citations · 1 hit paper
17 papers, 693 citations indexed

About

Shu‐Zon Wu is a scholar working on Plant Science, Molecular Biology and Cell Biology. According to data from OpenAlex, Shu‐Zon Wu has authored 17 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 10 papers in Molecular Biology and 7 papers in Cell Biology. Recurrent topics in Shu‐Zon Wu's work include Plant Molecular Biology Research (6 papers), Plant Reproductive Biology (6 papers) and Polysaccharides and Plant Cell Walls (4 papers). Shu‐Zon Wu is often cited by papers focused on Plant Molecular Biology Research (6 papers), Plant Reproductive Biology (6 papers) and Polysaccharides and Plant Cell Walls (4 papers). Shu‐Zon Wu collaborates with scholars based in United States, Taiwan and Germany. Shu‐Zon Wu's co-authors include Magdalena Bezanilla, Rabea Meyberg, Stefan A. Rensing, Bernard Goffinet, Peter A.C. van Gisbergen, Ming Li, Ralph S. Quatrano, Katherine M. Nelson, Aihong Pan and John Oakey and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The Plant Cell.

In The Last Decade

Shu‐Zon Wu

16 papers receiving 687 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The Moss Physcomitrium (Physcomitrella) patens: A Model Organism for Non-Seed Plants

2020 192 citations Stefan A. Rensing, Bernard Goffinet et al. The Plant Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shu‐Zon Wu United States	11	454	438	151	129	34	17	693
Geoffrey J. Hyde Australia	16	317 0.7×	411 0.9×	186 1.2×	54 0.4×	14 0.4×	29	621
Chris J. Staiger United States	11	603 1.3×	732 1.7×	300 2.0×	111 0.9×	13 0.4×	11	1.0k
P. K. Hepler United States	9	386 0.9×	573 1.3×	275 1.8×	99 0.8×	16 0.5×	10	755
David Scheuring Germany	22	944 2.1×	1.0k 2.4×	606 4.0×	82 0.6×	14 0.4×	37	1.5k
J. Salaj Slovakia	21	1.0k 2.3×	992 2.3×	99 0.7×	141 1.1×	13 0.4×	56	1.2k
Akihiro Imai Japan	14	726 1.6×	804 1.8×	37 0.2×	61 0.5×	17 0.5×	28	1.0k
Takahiro Hamada Japan	17	764 1.7×	739 1.7×	348 2.3×	34 0.3×	12 0.4×	27	979
Michael B. Sheahan Australia	12	761 1.7×	848 1.9×	200 1.3×	59 0.5×	6 0.2×	15	1.1k
Rafael Andrade Buono Belgium	14	782 1.7×	716 1.6×	284 1.9×	60 0.5×	10 0.3×	17	1.1k
Yuki Hamamura Japan	19	1.5k 3.2×	1.6k 3.6×	127 0.8×	380 2.9×	10 0.3×	30	1.8k

Countries citing papers authored by Shu‐Zon Wu

Since Specialization

Citations

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

Fields of papers citing papers by Shu‐Zon Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu‐Zon Wu

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

All Works

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17 of 17 papers shown

Wu, Shu‐Zon, et al.. (2025). Autoinhibitory calcium ATPases regulate the calcium gradient required for rapid polarized growth. The Journal of Cell Biology. 225(1).

Roberts, Eric M., Arielle M. Chaves, R. Dupree, et al.. (2024). An alternate route for cellulose microfibril biosynthesis in plants. Science Advances. 10(50). eadr5188–eadr5188. 1 indexed citations

Wu, Shu‐Zon, et al.. (2023). CRISPR‐Cas9 Genome Editing in the Moss Physcomitrium (Formerly Physcomitrella) patens. Current Protocols. 3(4). e725–e725. 4 indexed citations

Wu, Shu‐Zon, et al.. (2023). Cellulose synthase-like D movement in the plasma membrane requires enzymatic activity. The Journal of Cell Biology. 222(6). 4 indexed citations

Wu, Shu‐Zon, et al.. (2021). COPII Sec23 proteins form isoform-specific endoplasmic reticulum exit sites with differential effects on polarized growth. The Plant Cell. 34(1). 333–350. 13 indexed citations

Rensing, Stefan A., Bernard Goffinet, Rabea Meyberg, Shu‐Zon Wu, & Magdalena Bezanilla. (2020). The Moss Physcomitrium (Physcomitrella) patens: A Model Organism for Non-Seed Plants. The Plant Cell. 32(5). 1361–1376. 192 indexed citations breakdown →

Gisbergen, Peter A.C. van, et al.. (2020). In vivo analysis of formin dynamics in the moss P. patens reveals functional class diversification. Journal of Cell Science. 133(3). 11 indexed citations

Gisbergen, Peter A.C. van, et al.. (2018). An ancient Sec10–formin fusion provides insights into actin-mediated regulation of exocytosis. The Journal of Cell Biology. 217(3). 945–957. 21 indexed citations

McCarthy, Thomas, Hao Sun, Shu‐Zon Wu, et al.. (2018). Direct observation of the effects of cellulose synthesis inhibitors using live cell imaging of Cellulose Synthase (CESA) in Physcomitrella patens. Scientific Reports. 8(1). 735–735. 16 indexed citations

10.

Wu, Shu‐Zon, et al.. (2018). Cytoskeletal discoveries in the plant lineage using the moss Physcomitrella patens. Biophysical Reviews. 10(6). 1683–1693. 9 indexed citations

11.

Wu, Shu‐Zon & Magdalena Bezanilla. (2018). Actin and microtubule cross talk mediates persistent polarized growth. The Journal of Cell Biology. 217(10). 3531–3544. 51 indexed citations

12.

Wu, Shu‐Zon, et al.. (2016). Long-Term Growth of Moss in Microfluidic Devices Enables Subcellular Studies in Development. PLANT PHYSIOLOGY. 172(1). 28–37. 46 indexed citations

13.

Wu, Shu‐Zon & Magdalena Bezanilla. (2014). Myosin VIII associates with microtubule ends and together with actin plays a role in guiding plant cell division. eLife. 3. 166 indexed citations

14.

Gisbergen, Peter A.C. van, Ming Li, Shu‐Zon Wu, & Magdalena Bezanilla. (2012). Class II formin targeting to the cell cortex by binding PI(3,5)P2 is essential for polarized growth. The Journal of Cell Biology. 198(2). 235–250. 74 indexed citations

15.

Wu, Shu‐Zon & Magdalena Bezanilla. (2012). Transient RNAi Assay in 96-Well Plate Format Facilitates High-Throughput Gene Function Studies in Planta. Methods in molecular biology. 918. 327–340. 1 indexed citations

16.

Wu, Shu‐Zon, et al.. (2011). Myosin VIII Regulates Protonemal Patterning and Developmental Timing in the Moss Physcomitrella patens. Molecular Plant. 4(5). 909–921. 43 indexed citations

17.

Kesavulu, M. M., Hsou‐min Li, Shu‐Zon Wu, et al.. (2007). Dimerization Is Important for the GTPase Activity of Chloroplast Translocon Components atToc33 and psToc159. Journal of Biological Chemistry. 282(18). 13845–13853. 41 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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