Che‐Wei Hsu

680 total citations · 2 hit papers
8 papers, 342 citations indexed

About

Che‐Wei Hsu is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Che‐Wei Hsu has authored 8 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Plant Science and 2 papers in Genetics. Recurrent topics in Che‐Wei Hsu's work include Plant Molecular Biology Research (5 papers), Single-cell and spatial transcriptomics (3 papers) and Plant Reproductive Biology (3 papers). Che‐Wei Hsu is often cited by papers focused on Plant Molecular Biology Research (5 papers), Single-cell and spatial transcriptomics (3 papers) and Plant Reproductive Biology (3 papers). Che‐Wei Hsu collaborates with scholars based in United States, Germany and Belgium. Che‐Wei Hsu's co-authors include Philip N. Benfey, Trevor M. Nolan, Uwe Ohler, Rachel Shahan, Anton Afanassiev, Isaiah Taylor, Geoffrey Schiebinger, Laura Greenstreet, Stephen X. Zhang and Benjamin Cole and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Che‐Wei Hsu

8 papers receiving 339 citations

Hit Papers

align trajectories

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.

A single-cell Arabidopsis root atlas reveals developmental trajectories in wild-type and cell identity mutants

2022 189 citations Rachel Shahan, Che‐Wei Hsu et al. Developmental Cell profile →
Brassinosteroid gene regulatory networks at cellular resolution in the Arabidopsis root

2023 86 citations Trevor M. Nolan, Nemanja Vukašinović et al. Science profile →

Peers

Che‐Wei Hsu

PS

MB

GENET

EEBS

BIOPH

Julie Van Duyse Belgium

James Satterlee United States

Julius Dürr United Kingdom

Marion Bauch United Kingdom

Anton Afanassiev Canada

Brecht Wybouw Belgium

M. Ximena Anleu Gil United States

Rea L. Antoniou-Kourounioti United Kingdom

Zuzana Lubovská Czechia

Paolo M. Triozzi United States

Julie Van Duyse Belgium

Che‐Wei Hsu

226 ×1.0

PS

215 ×1.0

MB

14 ×0.6

GENET

12 ×0.6

EEBS

15 ×0.8

BIOPH

Citations per year, relative to Che‐Wei Hsu Che‐Wei Hsu (= 1×) peers Julie Van Duyse

Countries citing papers authored by Che‐Wei Hsu

Since Specialization

Citations

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

Fields of papers citing papers by Che‐Wei Hsu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Che‐Wei Hsu. 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 Che‐Wei Hsu. The network helps show where Che‐Wei Hsu may publish in the future.

Co-authorship network of co-authors of Che‐Wei Hsu

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Zhu, Mingyuan, Che‐Wei Hsu, Isaiah Taylor, et al.. (2025). Single-cell transcriptomics reveal how root tissues adapt to soil stress. Nature. 642(8068). 721–729. 10 indexed citations

2.

Taylor, Isaiah, O. Rahul Patharkar, Che‐Wei Hsu, et al.. (2024). Arabidopsis uses a molecular grounding mechanism and a biophysical circuit breaker to limit floral abscission signaling. Proceedings of the National Academy of Sciences. 121(44). e2405806121–e2405806121. 2 indexed citations

3.

Blanco‐Touriñán, Noel, Trevor M. Nolan, Nemanja Vukašinović, et al.. (2024). The brassinosteroid receptor gene BRI1 safeguards cell-autonomous brassinosteroid signaling across tissues. Science Advances. 10(39). eadq3352–eadq3352. 5 indexed citations

4.

Nolan, Trevor M., Nemanja Vukašinović, Che‐Wei Hsu, et al.. (2023). Brassinosteroid gene regulatory networks at cellular resolution in the Arabidopsis root. Science. 379(6639). eadf4721–eadf4721. 86 indexed citations breakdown →

5.

Hsu, Che‐Wei, Rachel Shahan, Trevor M. Nolan, Philip N. Benfey, & Uwe Ohler. (2022). Protocol for fast scRNA-seq raw data processing using scKB and non-arbitrary quality control with COPILOT. STAR Protocols. 3(4). 101729–101729. 6 indexed citations

6.

Shahan, Rachel, Che‐Wei Hsu, Trevor M. Nolan, et al.. (2022). A single-cell Arabidopsis root atlas reveals developmental trajectories in wild-type and cell identity mutants. Developmental Cell. 57(4). 543–560.e9. 189 indexed citations breakdown →

7.

Mojica, Julius P., Baosheng Wang, Chia‐Yu Chen, et al.. (2021). Ecological factors influence balancing selection on leaf chemical profiles of a wildflower. Nature Ecology & Evolution. 5(8). 1135–1144. 23 indexed citations

8.

Hsu, Che‐Wei, et al.. (2019). On the postglacial spread of human commensal Arabidopsis thaliana : journey to the East. New Phytologist. 222(3). 1447–1457. 21 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