Naixin Liang

1.2k total citations
34 papers, 906 citations indexed

About

Naixin Liang is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Naixin Liang has authored 34 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 14 papers in Pulmonary and Respiratory Medicine and 11 papers in Molecular Biology. Recurrent topics in Naixin Liang's work include Lung Cancer Treatments and Mutations (10 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Colorectal Cancer Treatments and Studies (5 papers). Naixin Liang is often cited by papers focused on Lung Cancer Treatments and Mutations (10 papers), Cancer Immunotherapy and Biomarkers (8 papers) and Colorectal Cancer Treatments and Studies (5 papers). Naixin Liang collaborates with scholars based in China, United States and Germany. Naixin Liang's co-authors include Huaxia Yang, Xuan Zhang, Shanqing Li, Zhuoran Yao, Xiaoxiang Zhou, Fengchun Zhang, Kaidi Li, Maojun Yang, Cheng Huang and Jianwei Zhang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Analytical Chemistry.

In The Last Decade

Naixin Liang

32 papers receiving 897 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naixin Liang China 14 523 437 248 214 108 34 906
Olga Martínez‐Sáez Spain 11 458 0.9× 343 0.8× 293 1.2× 298 1.4× 95 0.9× 60 832
Giuseppina Rosaria Rita Ricciardi Italy 16 588 1.1× 483 1.1× 313 1.3× 293 1.4× 82 0.8× 42 947
Yota Yasumizu Japan 18 322 0.6× 367 0.8× 419 1.7× 180 0.8× 113 1.0× 78 927
Tetsukan Woo Japan 19 355 0.7× 374 0.9× 378 1.5× 223 1.0× 70 0.6× 42 880
Pietro De Placido Italy 13 488 0.9× 396 0.9× 245 1.0× 225 1.1× 41 0.4× 53 816
Samanta Sarti Italy 17 490 0.9× 193 0.4× 205 0.8× 209 1.0× 88 0.8× 46 803
F. De Vita Italy 11 405 0.8× 196 0.4× 198 0.8× 220 1.0× 85 0.8× 37 691
Akshara Singareeka Raghavendra United States 16 519 1.0× 320 0.7× 263 1.1× 259 1.2× 92 0.9× 69 857
Dengfeng Ren China 11 535 1.0× 346 0.8× 180 0.7× 149 0.7× 42 0.4× 47 825
Andrea Gombos Belgium 15 529 1.0× 239 0.5× 303 1.2× 210 1.0× 82 0.8× 40 805

Countries citing papers authored by Naixin Liang

Since Specialization
Citations

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

Fields of papers citing papers by Naixin Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naixin Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Naixin Liang. A scholar is included among the top collaborators of Naixin Liang 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 Naixin Liang. Naixin Liang 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
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Liu, Chao, Xiaomei Leng, Dongsheng Yue, et al.. (2025). PT1.07.03 Adjuvant Osimertinib in IB-IIIB NSCLC with Uncommon EGFR Mutations (Admin): Mutation Profile and ctDNA Dynamics. Journal of Thoracic Oncology. 20(10). S601–S601.
3.
Li, Bowen, Yadong Wang, Zhicheng Huang, et al.. (2024). Microfluidic Chip-Based Automatic System for Sequencing Patient-Derived Organoids at the Single-Cell Level. Analytical Chemistry. 96(42). 17027–17036. 2 indexed citations
4.
Huang, Zhicheng, Yadong Wang, Chao Guo, et al.. (2024). Causal relationships between immune cell phenotypes and lung adenocarcinoma: A bidirectional two‐sample Mendelian randomization study. Thoracic Cancer. 15(21). 1673–1680. 3 indexed citations
5.
Huang, Zhicheng, Yadong Wang, Yuan Xu, et al.. (2024). Neoadjuvant BRAF and MEK inhibitor therapy elicits pathological complete response in stage IIIA non‐small cell lung cancer harboring BRAF V600E mutation: A case report. Thoracic Cancer. 15(24). 1825–1828. 1 indexed citations
6.
Li, Bowen, Ziqi Jia, Zhicheng Huang, et al.. (2023). Adjuvant crizotinib treatment selected by patient-derived organoids in a patient with stage IIIA adenocarcinoma with novel LRRTM4-ALK fusion: a case report. Translational Lung Cancer Research. 12(11). 2322–2329. 2 indexed citations
7.
Song, Yang, Yadong Wang, Bowen Li, et al.. (2023). Footprints: Stamping hallmarks of lung cancer with patient-derived models, from molecular mechanisms to clinical translation. Frontiers in Bioengineering and Biotechnology. 11. 1132940–1132940. 3 indexed citations
8.
Zhang, Kexin, et al.. (2023). Real-time monitoring ATP variation in human cancer organoids for a long term by DNA-based nanosensor. Analytica Chimica Acta. 1275. 341608–341608. 1 indexed citations
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Yang, Huaxia, Yadong Wang, Ziqi Jia, et al.. (2021). Characteristics of T-Cell Receptor Repertoire and Correlation With EGFR Mutations in All Stages of Lung Cancer. Frontiers in Oncology. 11. 537735–537735. 9 indexed citations
12.
Bing, Zhongxing, Jiashu Han, Zhibo Zheng, & Naixin Liang. (2021). FOXO3-induced oncogenic lncRNA CASC9 enhances gefitinib resistance of non-small-cell lung cancer through feedback loop. Life Sciences. 287. 120012–120012. 21 indexed citations
13.
Wu, Yijun, Jianghao Liu, Han Chang, et al.. (2020). Preoperative Prediction of Lymph Node Metastasis in Patients With Early-T-Stage Non-small Cell Lung Cancer by Machine Learning Algorithms. Frontiers in Oncology. 10. 743–743. 23 indexed citations
14.
Zhou, Xiaoxiang, Zhuoran Yao, Huaxia Yang, et al.. (2020). Are immune-related adverse events associated with the efficacy of immune checkpoint inhibitors in patients with cancer? A systematic review and meta-analysis. BMC Medicine. 18(1). 87–87. 249 indexed citations
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Bi, Yalan, Yunxiao Meng, Yuchen Niu, et al.. (2019). Genome‑wide DNA methylation profile of thymomas and potential epigenetic regulation of thymoma subtypes. Oncology Reports. 41(5). 2762–2774. 13 indexed citations
17.
Liang, Naixin, et al.. (2019). P1.04-74 Characteristics of T Cell Receptor Repertoire of Lung Cancer Patients. Journal of Thoracic Oncology. 14(10). S471–S471. 1 indexed citations
18.
Ma, Dongjie, et al.. (2019). KLF8 overexpression promotes the growth of human lung cancer cells by promoting the expression of JMJD2A. Cancer Cell International. 19(1). 258–258. 15 indexed citations
19.
Qin, Yingzhi, Xiaoyun Zhou, Cheng Huang, et al.. (2018). Lower miR-340 expression predicts poor prognosis of non-small cell lung cancer and promotes cell proliferation by targeting CDK4. Gene. 675. 278–284. 27 indexed citations
20.
Li, Sheng, Yifang Zhu, Cheng Huang, et al.. (2014). Coexistence of EGFR with KRAS, or BRAF, or PIK3CA somatic mutations in lung cancer: a comprehensive mutation profiling from 5125 Chinese cohorts. British Journal of Cancer. 110(11). 2812–2820. 179 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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