Daxiao Sun

1.0k total citations · 1 hit paper
10 papers, 672 citations indexed

About

Daxiao Sun is a scholar working on Molecular Biology, Epidemiology and Surgery. According to data from OpenAlex, Daxiao Sun has authored 10 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Epidemiology and 2 papers in Surgery. Recurrent topics in Daxiao Sun's work include Autophagy in Disease and Therapy (4 papers), RNA modifications and cancer (3 papers) and RNA Research and Splicing (3 papers). Daxiao Sun is often cited by papers focused on Autophagy in Disease and Therapy (4 papers), RNA modifications and cancer (3 papers) and RNA Research and Splicing (3 papers). Daxiao Sun collaborates with scholars based in China, Germany and United States. Daxiao Sun's co-authors include Pilong Li, Rongbo Wu, Li Yu, Rui Chen, Yilong Zou, Dongxue Mao, Jingwen Shi, Mingyu Yang, Qianqian Hao and Xiaoqing Liu and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and ACS Nano.

In The Last Decade

Daxiao Sun

10 papers receiving 669 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.

Polyubiquitin chain-induced p62 phase separation drives autophagic cargo segregation

2018 367 citations Daxiao Sun, Rongbo Wu et al. Cell Research profile →

Peers

Daxiao Sun

MB

EPIDE

CB

BIOCH

CR

Martin Sztacho Czechia

Jacob M. Serfass United States

Peiyuan Chai China

Zhenyuan Tang United States

Joëlle Botti France

Miluska Jauregui Canada

Riccardo Trapannone Austria

Eleonora Turco Austria

Dongxue Mao United States

Alberto Danieli Austria

Martin Sztacho Czechia

Daxiao Sun

557 ×1.2

MB

471 ×1.7

EPIDE

277 ×1.9

CB

39 ×0.6

BIOCH

60 ×1.1

CR

Citations per year, relative to Daxiao Sun Daxiao Sun (= 1×) peers Martin Sztacho

Countries citing papers authored by Daxiao Sun

Since Specialization

Citations

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

Fields of papers citing papers by Daxiao Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daxiao Sun

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

All Works

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10 of 10 papers shown

1.

Sun, Daxiao, Xueping Zhao, Tina Wiegand, et al.. (2024). Assembly of tight junction belts by ZO1 surface condensation and local actin polymerization. Developmental Cell. 60(8). 1234–1250.e6. 5 indexed citations

2.

Sun, Daxiao, Yanchang Li, Shiyu Liu, et al.. (2023). Local membrane source gathering by p62 body drives autophagosome formation. Nature Communications. 14(1). 7338–7338. 25 indexed citations

3.

Sun, Daxiao, Adriana Savastano, Maria‐Sol Cima‐Omori, et al.. (2023). Multivalent Tau/PSD-95 interactions arrest in vitro condensates and clusters mimicking the postsynaptic density. Nature Communications. 14(1). 6839–6839. 20 indexed citations

4.

Sun, Daxiao, et al.. (2022). Biomolecular condensates in epithelial junctions. Current Opinion in Cell Biology. 77. 102089–102089. 13 indexed citations

5.

Oda, Yukako, Chisato Takahashi, Shun Nakamura, et al.. (2021). Discovery of anti-inflammatory physiological peptides that promote tissue repair by reinforcing epithelial barrier formation. Science Advances. 7(47). eabj6895–eabj6895. 11 indexed citations

6.

Pan, Qi, Daxiao Sun, Jianfeng Xue, et al.. (2020). Real-Time Study of Protein Phase Separation with Spatiotemporal Analysis of Single-Nanoparticle Trajectories. ACS Nano. 15(1). 539–549. 23 indexed citations

7.

Zhao, Yuting, Zhongju Zou, Daxiao Sun, et al.. (2020). GLIPR2 is a negative regulator of autophagy and the BECN1-ATG14-containing phosphatidylinositol 3-kinase complex. Autophagy. 17(10). 2891–2904. 24 indexed citations

8.

Sun, Daxiao, Rongbo Wu, Pilong Li, & Li Yu. (2019). Phase Separation in Regulation of Aggrephagy. Journal of Molecular Biology. 432(1). 160–169. 40 indexed citations

9.

Sun, Daxiao, et al.. (2018). Polyubiquitin chain-induced p62 phase separation drives autophagic cargo segregation. Cell Research. 28(4). 405–415. 367 indexed citations breakdown →

10.

Chen, Rui, Yilong Zou, Dongxue Mao, et al.. (2014). The general amino acid control pathway regulates mTOR and autophagy during serum/glutamine starvation. The Journal of Cell Biology. 206(2). 173–182. 144 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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