Changli Tu

738 total citations
25 papers, 447 citations indexed

About

Changli Tu is a scholar working on Infectious Diseases, Physiology and Molecular Biology. According to data from OpenAlex, Changli Tu has authored 25 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 6 papers in Physiology and 5 papers in Molecular Biology. Recurrent topics in Changli Tu's work include COVID-19 Clinical Research Studies (6 papers), Pediatric health and respiratory diseases (5 papers) and Asthma and respiratory diseases (5 papers). Changli Tu is often cited by papers focused on COVID-19 Clinical Research Studies (6 papers), Pediatric health and respiratory diseases (5 papers) and Asthma and respiratory diseases (5 papers). Changli Tu collaborates with scholars based in China, Australia and Taiwan. Changli Tu's co-authors include Xiaobin Zheng, Jing Liu, Meizhu Chen, Cuiyan Tan, Chia-Fen Hsieh, Shinn-Shyong Tsai, Jing Liu, Shuguang Wang, Yun Zhou and Lan Qiu and has published in prestigious journals such as Environmental Science & Technology, Clinical Infectious Diseases and Advanced Science.

In The Last Decade

Changli Tu

23 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changli Tu China 9 148 104 102 90 63 25 447
Emily S. Bailey United States 14 26 0.2× 79 0.8× 218 2.1× 28 0.3× 28 0.4× 48 580
Anurag Adhikari Nepal 10 187 1.3× 129 1.2× 85 0.8× 20 0.2× 7 0.1× 31 464
Luke S. Hillary United Kingdom 7 23 0.2× 21 0.2× 604 5.9× 100 1.1× 67 1.1× 14 815
Ana Tavares Portugal 10 75 0.5× 9 0.1× 47 0.5× 35 0.4× 3 0.0× 26 354
Davide Mileto Italy 10 14 0.1× 10 0.1× 440 4.3× 252 2.8× 44 0.7× 29 937
Perrine Marcenac United States 10 8 0.1× 14 0.1× 153 1.5× 42 0.5× 19 0.3× 12 529
David Otto Schwake United States 9 20 0.1× 5 0.0× 74 0.7× 94 1.0× 43 0.7× 11 471
Benedetta Tuvo Italy 10 45 0.3× 21 0.2× 85 0.8× 48 0.5× 5 0.1× 24 413
Ana K. Pitol Switzerland 10 8 0.1× 21 0.2× 207 2.0× 37 0.4× 90 1.4× 18 447
Francesca Romeri Italy 6 29 0.2× 9 0.1× 355 3.5× 55 0.6× 29 0.5× 8 481

Countries citing papers authored by Changli Tu

Since Specialization
Citations

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

Fields of papers citing papers by Changli Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changli Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Changli Tu. A scholar is included among the top collaborators of Changli Tu 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 Changli Tu. Changli Tu 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.
Wang, Shuguang, Wenfeng Lu, Qingdong Cao, et al.. (2023). Microplastics in the Lung Tissues Associated with Blood Test Index. Toxics. 11(9). 759–759. 43 indexed citations
2.
Baird, Marilyn, Jenny Sim, Dennis Petrie, et al.. (2023). Real-time x-ray abnormality alerts for emergency departments using a radiographer comment model - a multisite pilot study. Radiography. 30(1). 52–60. 5 indexed citations
3.
Qiu, Lan, Wenfeng Lu, Changli Tu, et al.. (2023). Evidence of Microplastics in Bronchoalveolar Lavage Fluid among Never-Smokers: A Prospective Case Series. Environmental Science & Technology. 57(6). 2435–2444. 55 indexed citations
4.
Zou, Wei, Minmin Lin, Yiying Huang, et al.. (2023). Interleukin‐33 increases type 2 innate lymphoid cell count and their activation in eosinophilic asthma. Clinical and Translational Allergy. 13(6). e12265–e12265. 4 indexed citations
5.
Liang, Yingjian, Minmin Lin, Meizhu Chen, et al.. (2023). Clinical characteristics of hospitalized patients with Nocardia genus detection by metagenomic next generation sequencing in a tertiary hospital from southern China. BMC Infectious Diseases. 23(1). 772–772. 4 indexed citations
6.
Tan, Cuiyan, Wei Zou, Qianqian Lei, et al.. (2023). Quantitative CT Metrics for the Prediction of Therapeutic Effect in Asthma. Journal of Clinical Medicine. 12(2). 639–639. 3 indexed citations
7.
Tan, Cuiyan, Changli Tu, Meizhu Chen, et al.. (2022). The Role of Impulse Oscillometry in Evaluating Disease Severity and Predicting the Airway Reversibility in Patients With Bronchiectasis. Frontiers in Medicine. 9. 796809–796809. 6 indexed citations
8.
Zhang, Jingxiang, Jing Liu, Yongqiang Yang, et al.. (2022). Differential Oral Microbial Input Determines Two Microbiota Pneumo‐Types Associated with Health Status. Advanced Science. 9(32). e2203115–e2203115. 22 indexed citations
9.
Lin, Minmin, Yingjian Liang, Changli Tu, et al.. (2022). Tropheryma whipplei detection by metagenomic next-generation sequencing in bronchoalveolar lavage fluid: A cross-sectional study. Frontiers in Cellular and Infection Microbiology. 12. 961297–961297. 19 indexed citations
10.
Zhang, Jingxiang, Yiping Wu, Jing Liu, et al.. (2022). Differential Oral Microbial Input Determines Two Microbiota Pneumo‐Types Associated with Health Status (Adv. Sci. 32/2022). Advanced Science. 9(32). 4 indexed citations
11.
12.
Liang, Yingjian, Meizhu Chen, Cuiyan Tan, et al.. (2021). Successful Sequential Treatment for Severe Asthma Coexisting COVID-19 via Budesonide/Glycopyrrolate/Formoterol Fumarate. International Journal of General Medicine. Volume 14. 357–359. 3 indexed citations
13.
Tu, Changli, Guojie Wang, Yayuan Geng, et al.. (2021). Establishment of a Clinical Nomogram Model to Predict the Progression of COVID-19 to Severe Disease. Therapeutics and Clinical Risk Management. Volume 17. 553–561. 2 indexed citations
14.
Liang, Yingjian, Minmin Lin, Cuiyan Tan, et al.. (2021). Regulatory T cell deficiency in patients with eosinophilic asthma. Journal of Asthma. 59(9). 1703–1711. 4 indexed citations
15.
Liu, Jing, Changli Tu, Jinyan Yu, et al.. (2020). Maternal microbiome regulation prevents early allergic airway diseases in mouse offspring. Pediatric Allergy and Immunology. 31(8). 962–973. 5 indexed citations
16.
Wang, Zhenguo, Zhonghe Li, Changli Tu, et al.. (2020). <p>Effect of <em>SARS-CoV-2</em> Infection on the Microbial Composition of Upper Airway</p>. Infection and Drug Resistance. Volume 13. 2637–2640. 5 indexed citations
17.
Liang, Yingjian, Meizhu Chen, Xiaobin Zheng, et al.. (2020). The psychological status of frontline health workers confronting COVID-19 after local cases eradication in Zhuhai, Southern China. European Archives of Psychiatry and Clinical Neuroscience. 271(2). 403–404. 1 indexed citations
18.
Tu, Changli, Meizhu Chen, Cuiyan Tan, et al.. (2020). Establishing a high microbial load maternal-offspring asthma model in adult mice. International Immunopharmacology. 83. 106453–106453. 7 indexed citations
19.
Wu, Jian, Yiying Huang, Changli Tu, et al.. (2020). Household Transmission of SARS-CoV-2, Zhuhai, China, 2020. Clinical Infectious Diseases. 71(16). 2099–2108. 92 indexed citations
20.

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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