Xuran Chu

767 total citations · 1 hit paper
13 papers, 515 citations indexed

About

Xuran Chu is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Xuran Chu has authored 13 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 7 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Xuran Chu's work include Congenital Diaphragmatic Hernia Studies (6 papers), Neonatal Respiratory Health Research (6 papers) and Medical Imaging and Pathology Studies (5 papers). Xuran Chu is often cited by papers focused on Congenital Diaphragmatic Hernia Studies (6 papers), Neonatal Respiratory Health Research (6 papers) and Medical Imaging and Pathology Studies (5 papers). Xuran Chu collaborates with scholars based in China, Germany and France. Xuran Chu's co-authors include Savério Bellusci, Biao Feng, Yanan Cao, Yanhui Chu, Subrata Chakrabarti, Shali Chen, Jin‐San Zhang, Elie El Agha, Xiaokun Li and Werner Seeger and has published in prestigious journals such as Nature Communications, Diabetes and Frontiers in Immunology.

In The Last Decade

Xuran Chu

10 papers receiving 512 citations

Hit Papers

Mesenchymal stem cell-derived extracellular vesicles in s... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuran Chu China 7 242 193 94 78 57 13 515
Katharine E. Johnson Australia 6 294 1.2× 105 0.5× 77 0.8× 49 0.6× 54 0.9× 6 618
Xiao‐Qing Sun China 12 152 0.6× 181 0.9× 56 0.6× 41 0.5× 31 0.5× 41 412
Sachin S. Vaikunth United States 9 231 1.0× 76 0.4× 125 1.3× 48 0.6× 32 0.6× 16 594
Bogdan Yatsula United States 13 235 1.0× 113 0.6× 193 2.1× 32 0.4× 77 1.4× 20 618
Sarah M. Haeger United States 15 214 0.9× 126 0.7× 89 0.9× 64 0.8× 12 0.2× 19 656
David C. Rishikof United States 12 249 1.0× 148 0.8× 62 0.7× 38 0.5× 71 1.2× 19 552
Liangkuan Bi China 14 202 0.8× 141 0.7× 283 3.0× 87 1.1× 33 0.6× 43 671
Rafał Pęksa Poland 14 93 0.4× 179 0.9× 129 1.4× 83 1.1× 40 0.7× 80 582
J.V. Smyth United Kingdom 12 131 0.5× 99 0.5× 179 1.9× 42 0.5× 14 0.2× 20 511
Sarah Appleby New Zealand 9 101 0.4× 138 0.7× 41 0.4× 34 0.4× 29 0.5× 21 356

Countries citing papers authored by Xuran Chu

Since Specialization
Citations

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

Fields of papers citing papers by Xuran Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuran Chu

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

All Works

13 of 13 papers shown
2.
4.
Bellusci, Savério, et al.. (2024). Understanding myofibroblast origin in the fibrotic lung. PubMed. 2(3). 142–150. 6 indexed citations
5.
Ding, Jiayi, Minjiang Chen, Gaofeng Shu, et al.. (2023). Mesenchymal stem cell-derived extracellular vesicles in skin wound healing: roles, opportunities and challenges. Military Medical Research. 10(1). 36–36. 123 indexed citations breakdown →
6.
Chu, Xuran, Ana Ivonne Vazquez‐Armendariz, Susanne Herold, et al.. (2021). Validation of a Novel Fgf10Cre–ERT2 Knock-in Mouse Line Targeting FGF10Pos Cells Postnatally. Frontiers in Cell and Developmental Biology. 9. 671841–671841. 4 indexed citations
7.
Chu, Xuran, Negah Ahmadvand, Jin‐San Zhang, et al.. (2021). Evidence for Multiple Origins of De Novo Formed Vascular Smooth Muscle Cells in Pulmonary Hypertension: Challenging the Dominant Model of Pre-Existing Smooth Muscle Expansion. International Journal of Environmental Research and Public Health. 18(16). 8584–8584.
8.
Moiseenko, Alena, Ana Ivonne Vazquez‐Armendariz, Vahid Kheirollahi, et al.. (2020). Identification of a Repair-Supportive Mesenchymal Cell Population during Airway Epithelial Regeneration. Cell Reports. 33(12). 108549–108549. 23 indexed citations
10.
Chu, Xuran, Chengshui Chen, Chaolei Chen, et al.. (2019). Evidence for lung repair and regeneration in humans: key stem cells and therapeutic functions of fibroblast growth factors. Frontiers of Medicine. 14(3). 262–272. 10 indexed citations
11.
Kheirollahi, Vahid, Roxana Wasnick, Valentina Biasin, et al.. (2019). Metformin induces lipogenic differentiation in myofibroblasts to reverse lung fibrosis. Nature Communications. 10(1). 2987–2987. 202 indexed citations
12.
Wu, Jin, Xuran Chu, Chengshui Chen, & Savério Bellusci. (2018). Role of Fibroblast Growth Factor 10 in Mesenchymal Cell Differentiation During Lung Development and Disease. Frontiers in Genetics. 9. 545–545. 19 indexed citations
13.
Feng, Biao, Yanan Cao, Shali Chen, et al.. (2015). miR-200b Mediates Endothelial-to-Mesenchymal Transition in Diabetic Cardiomyopathy. Diabetes. 65(3). 768–779. 116 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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