Qixing Mao

2.4k total citations
55 papers, 1.6k citations indexed

About

Qixing Mao is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Qixing Mao has authored 55 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 24 papers in Cancer Research and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Qixing Mao's work include Cancer-related molecular mechanisms research (16 papers), RNA modifications and cancer (16 papers) and Lung Cancer Treatments and Mutations (11 papers). Qixing Mao is often cited by papers focused on Cancer-related molecular mechanisms research (16 papers), RNA modifications and cancer (16 papers) and Lung Cancer Treatments and Mutations (11 papers). Qixing Mao collaborates with scholars based in China, United States and India. Qixing Mao's co-authors include Gaochao Dong, Lin Xu, Feng Jiang, Wenjie Xia, Weidong Ma, Youtao Xu, Jie Wang, Rong Yin, Feng Jiang and Yingkuan Liang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Qixing Mao

53 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qixing Mao China 21 1.1k 640 347 314 134 55 1.6k
Ying Cao China 21 797 0.7× 522 0.8× 154 0.4× 190 0.6× 69 0.5× 94 1.6k
Wei-Dong Chen United States 12 1.1k 1.1× 615 1.0× 237 0.7× 715 2.3× 124 0.9× 16 1.9k
Michael J. Ellis United Kingdom 22 540 0.5× 382 0.6× 547 1.6× 361 1.1× 281 2.1× 61 1.8k
Xinying Wang China 24 807 0.8× 421 0.7× 162 0.5× 483 1.5× 138 1.0× 68 1.5k
Haitao Yu China 18 559 0.5× 378 0.6× 466 1.3× 199 0.6× 134 1.0× 42 1.2k
Jiao Gong China 19 703 0.7× 487 0.8× 144 0.4× 247 0.8× 98 0.7× 70 1.6k
Feng Lü China 15 634 0.6× 313 0.5× 106 0.3× 139 0.4× 61 0.5× 77 1.2k
Hyun Jin Bae South Korea 24 1.2k 1.2× 623 1.0× 112 0.3× 282 0.9× 148 1.1× 44 1.9k
Aldo Cavallini Italy 26 664 0.6× 358 0.6× 271 0.8× 357 1.1× 339 2.5× 69 1.8k

Countries citing papers authored by Qixing Mao

Since Specialization
Citations

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

Fields of papers citing papers by Qixing Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qixing Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Qixing Mao. A scholar is included among the top collaborators of Qixing Mao 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 Qixing Mao. Qixing Mao 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.
Xia, Wenjie, Yujia Zhou, Xuming Song, et al.. (2025). Evaluation and practical application of prompt-driven ChatGPTs for EMR generation. npj Digital Medicine. 8(1). 77–77. 4 indexed citations
2.
Bian, Rongrong, Feng Zhao, Bo Peng, et al.. (2024). A Nomogram for Predicting Recurrence in Stage I Non‐Small Cell Lung Cancer. The Clinical Respiratory Journal. 18(11). e70022–e70022.
3.
Zhang, Te, Zeyu Zhang, Hui Wang, et al.. (2023). The super-enhancer-driven lncRNA LINC00880 acts as a scaffold between CDK1 and PRDX1 to sustain the malignance of lung adenocarcinoma. Cell Death and Disease. 14(8). 551–551. 15 indexed citations
4.
Wang, Hui, Yingkuan Liang, Te Zhang, et al.. (2023). C-IGF1R encoded by cIGF1R acts as a molecular switch to restrict mitophagy of drug-tolerant persister tumour cells in non-small cell lung cancer. Cell Death and Differentiation. 30(11). 2365–2381. 16 indexed citations
5.
Wang, Qinglin, Xuming Song, Feng Zhao, et al.. (2023). Noninvasive diagnosis of pulmonary nodules using a circulating tsRNA‐based nomogram. Cancer Science. 114(12). 4607–4621. 10 indexed citations
6.
Mao, Qixing, et al.. (2023). Identification of the potential ferroptosis key genes in lung cancer with bone metastasis. Journal of Thoracic Disease. 15(5). 2708–2720. 3 indexed citations
7.
Wang, Hui, Xuming Song, Te Zhang, et al.. (2023). Tobacco exposure primes the secretion of CCL21 positively associated with tertiary lymphoid structure and response to immunotherapy. Journal for ImmunoTherapy of Cancer. 11(6). e006939–e006939. 15 indexed citations
8.
Song, Xuming, Qiang Chen, Qixing Mao, et al.. (2021). Clinical and prognostic implications of an immune‐related risk model based on TP53 status in lung adenocarcinoma. Journal of Cellular and Molecular Medicine. 26(2). 436–448. 4 indexed citations
9.
Zhang, Yi, Qi Wang, Xuming Song, et al.. (2021). A novel gene expression signature-based on B-cell proportion to predict prognosis of patients with lung adenocarcinoma. BMC Cancer. 21(1). 1098–1098. 11 indexed citations
10.
Liang, Yingkuan, Hui Wang, Bing Chen, et al.. (2020). circDCUN1D4 suppresses tumor metastasis and glycolysis in lung adenocarcinoma by stabilizing TXNIP expression. Molecular Therapy — Nucleic Acids. 23. 355–368. 105 indexed citations
11.
Xia, Wenjie, Lei Zhang, Qixing Mao, et al.. (2020). CT-Based Deep Learning Model for Invasiveness Classification and Micropapillary Pattern Prediction Within Lung Adenocarcinoma. Frontiers in Oncology. 10. 1186–1186. 26 indexed citations
12.
Ma, Weidong, Qixing Mao, Wenjie Xia, et al.. (2019). Gut Microbiota Shapes the Efficiency of Cancer Therapy. Frontiers in Microbiology. 10. 1050–1050. 138 indexed citations
13.
Mao, Qixing, Louqian Zhang, Gaochao Dong, et al.. (2018). A network-based signature to predict the survival of non-smoking lung adenocarcinoma. Cancer Management and Research. Volume 10. 2683–2693. 9 indexed citations
14.
Mao, Qixing, Wenjie Xia, Gaochao Dong, et al.. (2017). A nomogram to predict the survival of stage IIIA-N2 non–small cell lung cancer after surgery. Journal of Thoracic and Cardiovascular Surgery. 155(4). 1784–1792.e3. 48 indexed citations
15.
Xia, Wenjie, Xinnian Yu, Qixing Mao, et al.. (2017). Improvement of survival for non-small cell lung cancer over time. OncoTargets and Therapy. Volume 10. 4295–4303. 46 indexed citations
16.
Mao, Qixing, Feng Jiang, Rong Yin, et al.. (2017). Interplay between the lung microbiome and lung cancer. Cancer Letters. 415. 40–48. 194 indexed citations
17.
Li, Ming, Mantang Qiu, Youtao Xu, et al.. (2015). Differentially expressed protein-coding genes and long noncoding RNA in early-stage lung cancer. Tumor Biology. 36(12). 9969–9978. 26 indexed citations
18.
Xia, Wenjie, Youtao Xu, Qixing Mao, et al.. (2015). Association of RAGE polymorphisms and cancer risk: a meta-analysis of 27 studies. Medical Oncology. 32(2). 442–442. 19 indexed citations
19.
Mao, Qixing, Lin Xu, Feng Jiang, et al.. (2015). CAG repeat polymorphisms in the androgen receptor and breast cancer risk in women: a meta-analysis of 17 studies. OncoTargets and Therapy. 8. 2111–2111. 13 indexed citations
20.
Xia, Wenjie, Qiang Chen, Jie Wang, et al.. (2015). DNA methylation mediated silencing of microRNA-145 is a potential prognostic marker in patients with lung adenocarcinoma. Scientific Reports. 5(1). 16901–16901. 34 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026