Changting Liu

1.5k total citations
43 papers, 1.2k citations indexed

About

Changting Liu is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Molecular Biology. According to data from OpenAlex, Changting Liu has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 15 papers in Epidemiology and 8 papers in Molecular Biology. Recurrent topics in Changting Liu's work include Antibiotic Resistance in Bacteria (7 papers), Lung Cancer Treatments and Mutations (6 papers) and Mycobacterium research and diagnosis (5 papers). Changting Liu is often cited by papers focused on Antibiotic Resistance in Bacteria (7 papers), Lung Cancer Treatments and Mutations (6 papers) and Mycobacterium research and diagnosis (5 papers). Changting Liu collaborates with scholars based in China, Philippines and United States. Changting Liu's co-authors include Dongsheng Zhou, Zhenhong Chen, Bei Li, Longxiang Su, Yanlin Zhao, Lixin Xie, Dan Feng, Zhijian Zhang, Yu Pang and Yanhong Jia and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and CHEST Journal.

In The Last Decade

Changting Liu

42 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changting Liu China 20 394 303 300 223 192 43 1.2k
Kirsten Schaffer Ireland 19 208 0.5× 372 1.2× 258 0.9× 357 1.6× 164 0.9× 47 1.2k
Masaru Shimizu Japan 18 435 1.1× 279 0.9× 153 0.5× 134 0.6× 129 0.7× 119 1.2k
Ming‐Fang Cheng Taiwan 19 377 1.0× 277 0.9× 239 0.8× 397 1.8× 128 0.7× 81 1.3k
Tiantuo Zhang China 24 543 1.4× 340 1.1× 222 0.7× 378 1.7× 243 1.3× 85 1.6k
Hongyu Ren China 23 344 0.9× 600 2.0× 141 0.5× 207 0.9× 141 0.7× 56 1.7k
Keiichi Mikasa Japan 20 420 1.1× 252 0.8× 137 0.5× 309 1.4× 208 1.1× 111 1.2k
Efthymia Protonotariou Greece 19 348 0.9× 310 1.0× 705 2.4× 247 1.1× 134 0.7× 82 1.5k
Emmanuel Faure France 18 230 0.6× 442 1.5× 125 0.4× 338 1.5× 126 0.7× 51 1.4k
Ashley Keller United States 16 204 0.5× 542 1.8× 277 0.9× 267 1.2× 347 1.8× 29 1.4k
Jin‐Yong Jeong South Korea 24 529 1.3× 286 0.9× 281 0.9× 447 2.0× 121 0.6× 47 1.4k

Countries citing papers authored by Changting Liu

Since Specialization
Citations

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

Fields of papers citing papers by Changting Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changting Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Changting Liu. A scholar is included among the top collaborators of Changting Liu 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 Changting Liu. Changting Liu 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, Peng, et al.. (2019). The relationship between chronic obstructive pulmonary disease and non‐small cell lung cancer in the elderly. Cancer Medicine. 8(9). 4124–4134. 15 indexed citations
2.
Li, Diangeng, Peng Wang, Yi Yu, et al.. (2018). Tumor-preventing activity of aspirin in multiple cancers based on bioinformatic analyses. PeerJ. 6. e5667–e5667. 9 indexed citations
3.
Wang, Nannan, Xiangjiao Meng, Jia Wang, et al.. (2018). Osimertinib (AZD9291) increases radio‑sensitivity in EGFR T790M non‑small cell lung cancer. Oncology Reports. 41(1). 77–86. 28 indexed citations
4.
Chen, Zhenhong, Hongxia Li, Jiao Feng, et al.. (2015). NDM-1 encoded by a pNDM-BJ01-like plasmid p3SP-NDM in clinical Enterobacter aerogenes. Frontiers in Microbiology. 6. 294–294. 61 indexed citations
5.
Zhang, Zhijian, et al.. (2015). Differences in risk factors and drug susceptibility between Mycobacterium avium and Mycobacterium intracellulare lung diseases in China. International Journal of Antimicrobial Agents. 45(5). 491–495. 40 indexed citations
6.
Ou, Xichao, Yuanyuan Song, Bing Zhao, et al.. (2014). A multicenter study of Cross-Priming Amplification for tuberculosis diagnosis at peripheral level in China. Tuberculosis. 94(4). 428–433. 23 indexed citations
7.
Zhang, Zhijian, Yu Pang, Yufeng Wang, Changting Liu, & Yanlin Zhao. (2014). Beijing genotype of Mycobacterium tuberculosis is significantly associated with linezolid resistance in multidrug-resistant and extensively drug-resistant tuberculosis in China. International Journal of Antimicrobial Agents. 43(3). 231–235. 68 indexed citations
8.
Zhang, Zhijian, Jie Lu, Min Liu, et al.. (2014). Genotyping and molecular characteristics of multidrug-resistant Mycobacterium tuberculosis isolates from China. Journal of Infection. 70(4). 335–345. 30 indexed citations
9.
Liu, Changting, et al.. (2014). Combination of BIBW2992 and ARQ 197 is effective against erlotinib-resistant human lung cancer cells with the EGFR T790M mutation. Oncology Reports. 32(1). 341–347. 8 indexed citations
10.
Qu, Fen, Zhe Ying, Chuanling Zhang, et al.. (2014). Plasmid-Encoding Extended-Spectrum β-Lactamase CTX-M-55 in a Clinical Shigella Sonnei Strain, China. Future Microbiology. 9(10). 1143–1150. 19 indexed citations
11.
12.
Li, Bei, et al.. (2014). Molecular Pathogenesis of Klebsiella Pneumoniae. Future Microbiology. 9(9). 1071–1081. 263 indexed citations
13.
Su, Longxiang, Ruo Zhou, Changting Liu, et al.. (2013). Urinary proteomics analysis for sepsis biomarkers with iTRAQ labeling and two-dimensional liquid chromatography–tandem mass spectrometry. The Journal of Trauma: Injury, Infection, and Critical Care. 74(3). 940–945. 25 indexed citations
14.
Liu, Changting, Ting Li, Ying Zhang, et al.. (2013). [Predictive equations of lung function for adults in north China urban areas].. PubMed. 33(11). 1590–5.
15.
Hu, Mingdong, et al.. (2013). The cyclin D1 (CCND1) G870A polymorphism and lung cancer susceptibility: a meta-analysis. Tumor Biology. 34(6). 3831–3837. 13 indexed citations
16.
Guo, Yinghua, Longxiang Su, Yinghui Li, et al.. (2013). The synergistic therapeutic effect of hepatocyte growth factor and granulocyte colony-stimulating factor on pulmonary hypertension in rats. Heart and Vessels. 29(4). 520–531. 16 indexed citations
17.
Su, Longxiang, et al.. (2012). Novel therapy for idiopathic pulmonary arterial hypertension: Can hepatocyte growth factor be beneficial?. Journal of Geriatric Cardiology. 9(2). 211–212. 3 indexed citations
18.
19.
Yin, Tong, et al.. (2012). High Levels of Inflammation and Insulin Resistance in Obstructive Sleep Apnea Patients with Hypertension. Inflammation. 35(4). 1507–1511. 33 indexed citations
20.
Guo, Yinghua, Changting Liu, & Jianguo He. (2011). [Effect of combined therapy of granulocyte colony stimulating factor and bone marrow mesenchymal stem cells carrying hepatocyte growth factor gene on angiogenesis of myocardial infarction in rats].. PubMed. 25(6). 736–40. 2 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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