Fei Sun

1.2k total citations
29 papers, 861 citations indexed

About

Fei Sun is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Physiology. According to data from OpenAlex, Fei Sun has authored 29 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pulmonary and Respiratory Medicine, 8 papers in Molecular Biology and 6 papers in Physiology. Recurrent topics in Fei Sun's work include Cystic Fibrosis Research Advances (20 papers), Neonatal Respiratory Health Research (9 papers) and Asthma and respiratory diseases (4 papers). Fei Sun is often cited by papers focused on Cystic Fibrosis Research Advances (20 papers), Neonatal Respiratory Health Research (9 papers) and Asthma and respiratory diseases (4 papers). Fei Sun collaborates with scholars based in United States, China and United Kingdom. Fei Sun's co-authors include Raymond A. Frizzell, Martin J. Hug, Neil A. Bradbury, Christopher Lewarchik, Chris Yun, Hui Zhang, Khalequz Zaman, Steven B. Condliffe, Xia Hou and Hongguang Wei and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Scientific Reports.

In The Last Decade

Fei Sun

27 papers receiving 850 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fei Sun United States 15 439 380 167 111 70 29 861
Xutong Sun United States 22 553 1.3× 310 0.8× 48 0.3× 190 1.7× 47 0.7× 41 968
Mohammad M. Al‐bataineh United States 15 446 1.0× 130 0.3× 52 0.3× 105 0.9× 56 0.8× 24 668
Deborah A. Corey United States 16 295 0.7× 267 0.7× 44 0.3× 110 1.0× 27 0.4× 25 594
Olivier Dellis France 17 464 1.1× 120 0.3× 98 0.6× 43 0.4× 80 1.1× 28 1.0k
Otor Al‐Khalili United States 18 737 1.7× 214 0.6× 50 0.3× 69 0.6× 39 0.6× 28 904
Mathilde Dubois France 16 257 0.6× 105 0.3× 96 0.6× 101 0.9× 105 1.5× 21 621
Qi Cai United States 16 397 0.9× 118 0.3× 190 1.1× 85 0.8× 48 0.7× 34 719
Aparna Renigunta Germany 11 576 1.3× 163 0.4× 56 0.3× 55 0.5× 62 0.9× 13 1.1k
Nadzeya Marozkina United States 13 186 0.4× 171 0.5× 53 0.3× 263 2.4× 42 0.6× 26 638
Kiyoshi Isobe Japan 20 809 1.8× 222 0.6× 59 0.4× 66 0.6× 52 0.7× 50 1.1k

Countries citing papers authored by Fei Sun

Since Specialization
Citations

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

Fields of papers citing papers by Fei Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Sun

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

All Works

20 of 20 papers shown
1.
2.
Han, Yang, Fei Sun, Ziwei He, et al.. (2024). Clinical feature of omicron infection in children with inborn errors of immunity in China. Frontiers in Immunology. 15. 1420547–1420547.
3.
Liang, Xiubin, Xia Hou, Zhenfeng Song, et al.. (2022). Cystic fibrosis rabbits develop spontaneous hepatobiliary lesions and CF-associated liver disease (CFLD)-like phenotypes. PNAS Nexus. 2(1). pgac306–pgac306. 5 indexed citations
4.
Yang, Dongshan, Xiubin Liang, Mark J. Hoenerhoff, et al.. (2021). Production of CFTR-ΔF508 Rabbits. Frontiers in Genetics. 11. 627666–627666. 12 indexed citations
5.
Periasamy, Ammasi, et al.. (2021). S-nitrosothiols signaling in cystic fibrosis airways. Journal of Biosciences. 46(4). 1 indexed citations
6.
Zaman, Khalequz, Ruofan Cao, Anjum Jafri, et al.. (2019). S -Nitrosylation of CHIP Enhances F508Del-CFTR Maturation. American Journal of Respiratory Cell and Molecular Biology. 61(6). 765–775. 7 indexed citations
7.
Yang, Jie, Yan Long, Demei Xu, et al.. (2019). Age- and Nicotine-Associated Gene Expression Changes in the Hippocampus of APP/PS1 Mice. Journal of Molecular Neuroscience. 69(4). 608–622. 11 indexed citations
8.
Hou, Xia, Chunbing Zhang, Mohamad Bouhamdan, et al.. (2019). CK19 stabilizes CFTR at the cell surface by limiting its endocytic pathway degradation. The FASEB Journal. 33(11). 12602–12615. 14 indexed citations
9.
Zhu, Binglin, Dong Luo, Demei Xu, et al.. (2018). Furin promotes dendritic morphogenesis and learning and memory in transgenic mice. Cellular and Molecular Life Sciences. 75(13). 2473–2488. 18 indexed citations
10.
Hou, Xia, Hongguang Wei, Hong Jiang, et al.. (2018). Dissection of the Role of VIMP in Endoplasmic Reticulum-Associated Degradation of CFTRΔF508. Scientific Reports. 8(1). 4764–4764. 15 indexed citations
11.
Holcomb, Joshua, et al.. (2015). PDZ Structure and Implication in Selective Drug Design against Cystic Fibrosis. Current Drug Targets. 16(9). 945–950. 7 indexed citations
12.
Holcomb, Joshua, et al.. (2015). Targeting the Root Cause of Cystic Fibrosis. Current Drug Targets. 16(9). 933–944.
13.
Getsy, Paulina M., et al.. (2015). Novel Approaches for Potential Therapy of Cystic Fibrosis. Current Drug Targets. 16(9). 923–936. 6 indexed citations
14.
Hou, Yuning, Shukkur M. Farooq, Xiaoqing Guan, et al.. (2014). A critical role of CXCR2 PDZ-mediated interactions in endothelial progenitor cell homing and angiogenesis. Stem Cell Research. 14(2). 133–143. 19 indexed citations
15.
Zaman, Khalequz, Paulina M. Getsy, Abdus Sattar, et al.. (2014). S-nitrosothiols increases cystic fibrosis transmembrane regulator expression and maturation in the cell surface. Biochemical and Biophysical Research Communications. 443(4). 1257–1262. 22 indexed citations
16.
Hou, Xia, Kenneth T. Lewis, Xuequn Chen, et al.. (2013). Proteome of the porosome complex in human airway epithelia: Interaction with the cystic fibrosis transmembrane conductance regulator (CFTR). Journal of Proteomics. 96. 82–91. 11 indexed citations
17.
Marozkina, Nadzeya, Lei Liu, Fei Sun, et al.. (2010). Hsp 70/Hsp 90 organizing protein as a nitrosylation target in cystic fibrosis therapy. Proceedings of the National Academy of Sciences. 107(25). 11393–11398. 57 indexed citations
18.
Zhang, Hui, Béla Z. Schmidt, Fei Sun, et al.. (2006). Cysteine String Protein Monitors Late Steps in Cystic Fibrosis Transmembrane Conductance Regulator Biogenesis. Journal of Biological Chemistry. 281(16). 11312–11321. 43 indexed citations
19.
Sun, Fei, Martin J. Hug, Neil A. Bradbury, & Raymond A. Frizzell. (2000). Protein Kinase A Associates with Cystic Fibrosis Transmembrane Conductance Regulator via an Interaction with Ezrin. Journal of Biological Chemistry. 275(19). 14360–14366. 137 indexed citations
20.
Sun, Fei, Martin J. Hug, Christopher Lewarchik, et al.. (2000). E3KARP Mediates the Association of Ezrin and Protein Kinase A with the Cystic Fibrosis Transmembrane Conductance Regulator in Airway Cells. Journal of Biological Chemistry. 275(38). 29539–29546. 178 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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