Qi Tan

2.7k total citations
47 papers, 1.8k citations indexed

About

Qi Tan is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Qi Tan has authored 47 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Surgery, 13 papers in Pulmonary and Respiratory Medicine and 9 papers in Molecular Biology. Recurrent topics in Qi Tan's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers), Tendon Structure and Treatment (7 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Qi Tan is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (9 papers), Tendon Structure and Treatment (7 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Qi Tan collaborates with scholars based in China, United States and Hong Kong. Qi Tan's co-authors include Yunfeng Rui, Pauline Po Yee Lui, Daniel J. Tschumperlin, Yin Mei Wong, Kyoung Moo Choi, Kai Ming Chan, Andrew J. Haak, Delphine Sicard, Yuk Wa Lee and Jeffrey A. Meridew and has published in prestigious journals such as The Journal of Cell Biology, Biomaterials and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Qi Tan

42 papers receiving 1.8k citations

Peers

Qi Tan

OSM

SURGE

PRM

Timothy J. Molloy Australia

B. Swoboda Germany

Ting Yuan China

A. Facchini Italy

Irina Berger Germany

Charlotte L. Phillips United States

Shawn R. Gilbert United States

Sophie Roux France

Lewis L. Shi United States

Pavlos Katonis Greece

Timothy J. Molloy Australia

Qi Tan

859 ×1.3

OSM

915 ×1.4

SURGE

181 ×0.5

PRM

376 ×1.1

127 ×0.7

Citations per year, relative to Qi Tan Qi Tan (= 1×) peers Timothy J. Molloy

Countries citing papers authored by Qi Tan

Since Specialization

Citations

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

Fields of papers citing papers by Qi Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Tan

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

All Works

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20 of 20 papers shown

Wei, Huan, Qi Tan, Zhengli Wang, et al.. (2025). Analysis of risk factors and establishment of a predictive model for brain injury in neonates with surgical necrotizing enterocolitis: a retrospective study. BMC Pediatrics. 25(1). 948–948.

Tan, Qi, Jeffrey A. Meridew, Kyoung Moo Choi, et al.. (2024). Targeting CEBPA to restore cellular identity and tissue homeostasis in pulmonary fibrosis. JCI Insight. 9(16). 3 indexed citations

Li, Yong, Y. S. Prakash, Qi Tan, & Daniel J. Tschumperlin. (2024). Defining signals that promote human alveolar type I differentiation. American Journal of Physiology-Lung Cellular and Molecular Physiology. 326(4). L409–L418. 3 indexed citations

Tan, Qi, et al.. (2023). NIR-excited imaging and in vivo visualization of β-galactosidase activity using a pyranonitrile-modified upconversion nanoprobe. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 292. 122411–122411. 6 indexed citations

Huang, Chuan-Chin, Qi Tan, Mercedes C. Becerra, et al.. (2022). The Contribution of Chest Radiography to the Clinical Management of Children Exposed to Tuberculosis. American Journal of Respiratory and Critical Care Medicine. 206(7). 892–900. 6 indexed citations

Pham, Tho X., Jisu Lee, Jiazhen Guan, et al.. (2022). Transcriptional analysis of lung fibroblasts identifies PIM1 signaling as a driver of aging-associated persistent fibrosis. JCI Insight. 7(6). 31 indexed citations

Tan, Qi, Patrick A. Link, Jeffrey A. Meridew, et al.. (2021). Spontaneous Lung Fibrosis Resolution Reveals Novel Antifibrotic Regulators. American Journal of Respiratory Cell and Molecular Biology. 64(4). 453–464. 33 indexed citations

Jones, Dakota L., Jeffrey A. Meridew, Patrick A. Link, et al.. (2021). ZNF416 is a pivotal transcriptional regulator of fibroblast mechanoactivation. The Journal of Cell Biology. 220(5). 31 indexed citations

Fu, Yang, Li Zhu, Li Zhou, et al.. (2021). The Multiple Regulatory Relationship Between RNA-Chaperone Hfq and the Second Messenger c-di-GMP. Frontiers in Microbiology. 12. 689619–689619. 10 indexed citations

10.

Gao, Lei, et al.. (2020). Multiple stents for tracheobronchomalacia caused by hydrochloric acid inhalation: a case report. Annals of Palliative Medicine. 9(5). 3593–3596.

11.

Ligresti, Giovanni, Nunzia Caporarello, Jeffrey A. Meridew, et al.. (2019). CBX5/G9a/H3K9me-mediated gene repression is essential to fibroblast activation during lung fibrosis. JCI Insight. 4(12). 69 indexed citations

12.

Tan, Qi, Yin Xiao, Wei Liu, et al.. (2019). Nascent Lung Organoids Reveal Epithelium- and Bone Morphogenetic Protein–mediated Suppression of Fibroblast Activation. American Journal of Respiratory Cell and Molecular Biology. 61(5). 607–619. 29 indexed citations

13.

Caporarello, Nunzia, Jeffrey A. Meridew, Dakota L. Jones, et al.. (2019). PGC1α repression in IPF fibroblasts drives a pathologic metabolic, secretory and fibrogenic state. Thorax. 74(8). 749–760. 74 indexed citations

14.

Haak, Andrew J., Qi Tan, & Daniel J. Tschumperlin. (2017). Matrix biomechanics and dynamics in pulmonary fibrosis. Matrix Biology. 73. 64–76. 68 indexed citations

15.

Luo, Xiaoyan, et al.. (2016). The correlation of healthy skin thickness and echogenicity with age, anatomic site and gender by high-frequency ultrasound. Biomedical Research-tokyo. 10–15. 1 indexed citations

16.

Tan, Qi, Kyoung Moo Choi, Delphine Sicard, & Daniel J. Tschumperlin. (2016). Human airway organoid engineering as a step toward lung regeneration and disease modeling. Biomaterials. 113. 118–132. 148 indexed citations

17.

Tan, Qi, Pauline Po Yee Lui, & Yuk Wa Lee. (2013). In Vivo Identity of Tendon Stem Cells and the Roles of Stem Cells in Tendon Healing. Stem Cells and Development. 22(23). 3128–3140. 67 indexed citations

18.

Rui, Yunfeng, Pauline Po Yee Lui, Yin Mei Wong, Qi Tan, & Kai Ming Chan. (2012). Altered Fate of Tendon-Derived Stem Cells Isolated from a Failed Tendon-Healing Animal Model of Tendinopathy. Stem Cells and Development. 22(7). 1076–1085. 74 indexed citations

19.

Tan, Qi, Pauline Po Yee Lui, & Yunfeng Rui. (2011). Effect of In Vitro Passaging on the Stem Cell-Related Properties of Tendon-Derived Stem Cells—Implications in Tissue Engineering. Stem Cells and Development. 21(5). 790–800. 84 indexed citations

20.

Tan, Qi, Pauline Po Yee Lui, Yunfeng Rui, & Yin Mei Wong. (2011). Comparison of Potentials of Stem Cells Isolated from Tendon and Bone Marrow for Musculoskeletal Tissue Engineering. Tissue Engineering Part A. 18(7-8). 840–851. 168 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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