Qi Xue

5.5k total citations · 1 hit paper
186 papers, 3.0k citations indexed

About

Qi Xue is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, Qi Xue has authored 186 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Pulmonary and Respiratory Medicine, 75 papers in Oncology and 57 papers in Surgery. Recurrent topics in Qi Xue's work include Lung Cancer Diagnosis and Treatment (59 papers), Lung Cancer Treatments and Mutations (48 papers) and Esophageal Cancer Research and Treatment (30 papers). Qi Xue is often cited by papers focused on Lung Cancer Diagnosis and Treatment (59 papers), Lung Cancer Treatments and Mutations (48 papers) and Esophageal Cancer Research and Treatment (30 papers). Qi Xue collaborates with scholars based in China, United States and Japan. Qi Xue's co-authors include Jie He, Fengwei Tan, Shugeng Gao, Shugeng Gao, Wei Guo, Yousheng Mao, Yushun Gao, Yibo Gao, Guochao Zhang and Juwei Mu and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Qi Xue

171 papers receiving 3.0k citations

Hit Papers

Treatment-related adverse events of PD-1 and PD-L1 inhibi... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qi Xue China 29 1.3k 1.2k 1.1k 818 651 186 3.0k
Veronica Mollica Italy 29 1.6k 1.2× 1.5k 1.3× 853 0.8× 620 0.8× 691 1.1× 155 3.0k
Pedro C. Barata United States 24 1.4k 1.1× 846 0.7× 993 0.9× 771 0.9× 503 0.8× 218 2.5k
Bo Dai China 32 1.3k 1.0× 1.1k 0.9× 1.4k 1.3× 1.0k 1.2× 639 1.0× 144 3.3k
Conor Steuer United States 27 1.4k 1.0× 1.4k 1.3× 797 0.8× 512 0.6× 424 0.7× 121 2.8k
Alessia Cimadamore Italy 26 1.3k 1.0× 877 0.8× 841 0.8× 577 0.7× 824 1.3× 147 2.6k
Aurélie Cazes France 32 1.6k 1.2× 1.5k 1.3× 957 0.9× 727 0.9× 564 0.9× 108 3.8k
Shugeng Gao China 26 1.3k 1.0× 1.1k 1.0× 676 0.6× 508 0.6× 514 0.8× 127 2.5k
Jifang Gong China 29 928 0.7× 1.7k 1.5× 785 0.7× 603 0.7× 540 0.8× 147 2.9k
Makoto Sohda Japan 32 1.2k 0.9× 1.1k 0.9× 1.4k 1.4× 599 0.7× 1.4k 2.1× 216 3.5k
Daisuke Kobayashi Japan 35 1.8k 1.3× 1.3k 1.1× 1.1k 1.0× 491 0.6× 1.4k 2.1× 174 3.7k

Countries citing papers authored by Qi Xue

Since Specialization
Citations

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

Fields of papers citing papers by Qi Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Xue. A scholar is included among the top collaborators of Qi Xue 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 Xue. Qi Xue 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.
Song, Gang, Wei Liu, Qi Xue, et al.. (2025). A fully automatic radiomics pipeline for postoperative facial nerve function prediction of vestibular schwannoma. Neuroscience. 574. 124–137.
2.
Feng, Xiaoli, Fengwei Tan, Qi Xue, et al.. (2025). Multi‐omics analyses reveal distinct molecular characteristics and transformation mechanisms of stage I–III micropapillary lung adenocarcinoma. The Journal of Pathology. 266(2). 204–216. 1 indexed citations
3.
Wang, Yalong, Lingling Fang, Xiao Hu, et al.. (2024). The characteristics and prognosis of different disease patterns of multiple primary lung cancers categorized according to the 8th edition lung cancer staging system. Journal of Cardiothoracic Surgery. 19(1). 200–200. 1 indexed citations
5.
Zhang, Cheng, Jiaojiao Yu, Chen Yang, et al.. (2023). Wild-type IDH1 maintains NSCLC stemness and chemoresistance through activation of the serine biosynthetic pathway. Science Translational Medicine. 15(726). eade4113–eade4113. 13 indexed citations
6.
Zhang, Lili, Hong Liu, Qi Xue, et al.. (2023). Analgesic Efficacy of Combined Thoracic Paravertebral Block and Erector Spinae Plane Block for Video-Assisted Thoracic Surgery: A Prospective Randomized Clinical Trial. Medical Science Monitor. 29. e940247–e940247. 5 indexed citations
7.
Liu, Chengming, Sufei Zheng, Zhanyu Wang, et al.. (2022). KRAS ‐G12D mutation drives immune suppression and the primary resistance of anti‐PD‐1/PD‐L1 immunotherapy in non‐small cell lung cancer. Cancer Communications. 42(9). 828–847. 99 indexed citations
8.
Wang, Shuhang, Beibei Mao, Ning Li, et al.. (2022). Genomic features and tumor immune microenvironment alteration in NSCLC treated with neoadjuvant PD-1 blockade. npj Precision Oncology. 6(1). 2–2. 21 indexed citations
9.
Guo, Wei, Xin Chen, Rui Liu, et al.. (2022). Sensitive detection of stage I lung adenocarcinoma using plasma cell-free DNA breakpoint motif profiling. EBioMedicine. 81. 104131–104131. 32 indexed citations
10.
Guo, Wei, Bolun Zhou, Zhenlin Yang, et al.. (2022). Integrating microarray-based spatial transcriptomics and single-cell RNA-sequencing reveals tissue architecture in esophageal squamous cell carcinoma. EBioMedicine. 84. 104281–104281. 44 indexed citations
11.
Zhang, Zhihui, Yuejun Luo, Chaoqi Zhang, et al.. (2021). An immune-related lncRNA signature predicts prognosis and adjuvant chemotherapeutic response in patients with small-cell lung cancer. Cancer Cell International. 21(1). 6 indexed citations
12.
Li, Jiagen, Qi Xue, Yushun Gao, et al.. (2021). Uniportal video‐assisted thoracoscopic left pneumonectomy: Retrospective analysis of eighteen consecutive patients from a single center. Thoracic Cancer. 12(3). 324–328. 1 indexed citations
14.
Yuan, Zuyang, Xinfeng Wang, Yin Li, et al.. (2020). Liquid biopsy for esophageal cancer: Is detection of circulating cell‐free DNA as a biomarker feasible?. Cancer Communications. 41(1). 3–15. 22 indexed citations
16.
Friedhoff, Lawrence, et al.. (2019). Safety and Efficacy of First-in-Class mtROS scavenger SkQ1 for the Treatment of Dry Eye Disease: A Phase 3 Clinical Trial. Investigative Ophthalmology & Visual Science. 60(9). 6750–6750. 1 indexed citations
17.
Zheng, Wenbo, et al.. (2019). MiR-92a promotes the invasion and migration of colorectal cancer by targeting RECK.. PubMed Central. 12(5). 1565–1577. 17 indexed citations
18.
Li, Ning, Fengwei Tan, Bin Qiu, et al.. (2018). [Comparison of lung cancer surgery in China, 2005 vs. 2015].. PubMed. 40(4). 300–302. 2 indexed citations
19.
Mao, Yousheng, Ding Yang, Shugeng Gao, Qi Xue, & Jie He. (2016). [Consensus and controversies of surgical approach selection in the treatment for thoracic esophageal cancers].. PubMed. 19(9). 961–964. 3 indexed citations
20.
Mao, Yousheng, Jie He, Jingsi Dong, et al.. (2015). [Comparison of the lymph node dissection and complications between video-assisted thoracoscopic (VATS) esophagectomy and conventional esophagectomy via right thoracotomic].. PubMed. 37(7). 530–3. 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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