Meng Qian

2.2k total citations
53 papers, 1.2k citations indexed

About

Meng Qian is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Meng Qian has authored 53 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 15 papers in Molecular Biology and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Meng Qian's work include Posttraumatic Stress Disorder Research (8 papers), Lung Cancer Research Studies (8 papers) and Cutaneous Melanoma Detection and Management (5 papers). Meng Qian is often cited by papers focused on Posttraumatic Stress Disorder Research (8 papers), Lung Cancer Research Studies (8 papers) and Cutaneous Melanoma Detection and Management (5 papers). Meng Qian collaborates with scholars based in United States, China and Japan. Meng Qian's co-authors include Charles R. Marmar, Clare Henn‐Haase, Meng Li, Nida H. Corry, Arieh Y. Shalev, Karen‐Inge Karstoft, Danny Horesh, Chia-Lin Ho, William E. Schlenger and Christopher S. Williams and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Meng Qian

46 papers receiving 1.2k citations

Peers

Meng Qian
Arthur R. Van Gool Netherlands
Jeffrey Ma United States
Uraina S. Clark United States
Özcan Uzun Türkiye
Mark Agius United Kingdom
Lei Xia China
Arthur R. Van Gool Netherlands
Meng Qian
Citations per year, relative to Meng Qian Meng Qian (= 1×) peers Arthur R. Van Gool

Countries citing papers authored by Meng Qian

Since Specialization
Citations

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

Fields of papers citing papers by Meng Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Qian. A scholar is included among the top collaborators of Meng Qian 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 Meng Qian. Meng Qian 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.
Wagner, Andrew J., William D. Tap, Sebastian Bauer, et al.. (2025). Long-term efficacy and safety of pexidartinib in patients with tenosynovial giant cell tumor: final results of the ENLIVEN study. The Oncologist. 30(7). 1 indexed citations
2.
Owonikoko, Taofeek K., Lauren A. Byers, Ying Cheng, et al.. (2025). IDeate-Lung02: a Phase 3 study of second-line ifinatamab deruxtecan in patients with relapsed small cell lung cancer. Future Oncology. 21(25). 3275–3282.
3.
Rudin, Charles M., Melissa L. Johnson, Luis Paz‐Ares, et al.. (2025). Ifinatamab Deruxtecan in Patients With Extensive-Stage Small Cell Lung Cancer: Primary Analysis of the Phase II IDeate-Lung01 Trial. Journal of Clinical Oncology. 44(4). 261–273.
4.
Qian, Meng, Chen Huang, Min Bai, et al.. (2025). Engineering a brain-targeted AKBA conjugate to attenuate post-stroke deficits by inhibiting GSTO1-dependent astrocytic pyroptosis. Chemical Engineering Journal. 526. 170989–170989.
5.
Yu, Yue, Jie Chen, Zhao Zhao, et al.. (2025). Comprehensive Clinical Analysis of Rilonacept in the Treatment of Cryopyrin-Associated Periodic Syndromes: A Systematic Review. Journal of Multidisciplinary Healthcare. Volume 18. 2591–2602.
6.
Chen, Xiaoniao, Lingling Wu, Jiayi He, et al.. (2025). Nitric oxide-primed engineered extracellular vesicles restore bioenergetics in acute kidney injury via mitochondrial transfer. Theranostics. 15(11). 5499–5517. 3 indexed citations
7.
Owonikoko, Taofeek K., Lauren A. Byers, Ying Cheng, et al.. (2024). IDeate-Lung02: A phase 3, randomized, open-label study of ifinatamab deruxtecan (I-DXd) vs treatment of physician’s choice (TPC) in relapsed small cell lung cancer (SCLC).. Journal of Clinical Oncology. 42(16_suppl). TPS8126–TPS8126. 8 indexed citations
8.
Cheng, Ying, Yu-Jung Kim, Alejandro Navarro, et al.. (2024). OA04.03 Ifinatamab Deruxtecan (I-DXd) in Extensive-Stage Small Cell Lung Cancer (ES-SCLC): Interim Analysis of Ideate-lung01. Journal of Thoracic Oncology. 19(10). S15–S16. 14 indexed citations
9.
Zhao, Jing, et al.. (2024). Effect of non-invasive brain stimulation on post-stroke cognitive impairment: a meta-analysis. Frontiers in Neurology. 15. 1424792–1424792. 2 indexed citations
10.
Qian, Meng, et al.. (2022). Comparison between Endoscopic Submucosal Dissection and Surgery in Patients with Early Gastric Cancer. Cancers. 14(15). 3603–3603. 6 indexed citations
11.
Xie, Yinyin, et al.. (2022). Are anti-glutamic acid decarboxylase 65-kDa isoform antibodies related to diabetes or brain tumor?. European journal of medical research. 27(1). 53–53. 1 indexed citations
12.
Qian, Meng, Hongmei Meng, Yong Pan, et al.. (2021). Influence of nanoparticle size on blood–brain barrier penetration and the accumulation of anti-seizure medicines in the brain. Journal of Materials Chemistry B. 10(2). 271–281. 55 indexed citations
13.
Schultebraucks, Katharina, Meng Qian, Duna Abu‐Amara, et al.. (2020). Pre-deployment risk factors for PTSD in active-duty personnel deployed to Afghanistan: a machine-learning approach for analyzing multivariate predictors. Molecular Psychiatry. 26(9). 5011–5022. 76 indexed citations
14.
Samuelson, Kristin W., Jennifer Newman, Meng Qian, et al.. (2019). Predeployment neurocognitive functioning predicts postdeployment posttraumatic stress in Army personnel.. Neuropsychology. 34(3). 276–287. 21 indexed citations
15.
Steenkamp, Maria M., Nida H. Corry, Meng Qian, et al.. (2018). Prevalence of psychiatric morbidity in United States military spouses: The Millennium Cohort Family Study. Depression and Anxiety. 35(9). 815–829. 27 indexed citations
16.
Chen, Jingyun, Meng Qian, Meng Li, et al.. (2018). Neural circuitry changes associated with increasing self-efficacy in Posttraumatic Stress Disorder. Journal of Psychiatric Research. 104. 58–64. 13 indexed citations
17.
Galatzer‐Levy, Isaac R., Maria M. Steenkamp, Adam D. Brown, et al.. (2014). Cortisol response to an experimental stress paradigm prospectively predicts long-term distress and resilience trajectories in response to active police service. Journal of Psychiatric Research. 56. 36–42. 74 indexed citations
18.
Kazeros, Angeliki, Mengling Liu, Yongzhao Shao, et al.. (2012). Elevated Peripheral Eosinophils Are Associated with New-Onset and Persistent Wheeze and Airflow Obstruction in World Trade Center-Exposed Individuals. Journal of Asthma. 50(1). 25–32. 30 indexed citations
19.
Michelle, W., Meng Qian, Eleazar Vega‐Saenz de Miera, et al.. (2012). Immune response in melanoma: an in-depth analysis of the primary tumor and corresponding sentinel lymph node. Modern Pathology. 25(7). 1000–1010. 55 indexed citations
20.
Ying, Liu, et al.. (2009). Plasma pharmacokinetics of danofloxacin mesylate liposomes in egg chickens.. Zhongguo shouyi xuebao. 29(11). 1434–1437.

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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