Wei Nie

1.2k total citations · 1 hit paper
66 papers, 839 citations indexed

About

Wei Nie is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Wei Nie has authored 66 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Oncology, 32 papers in Pulmonary and Respiratory Medicine and 15 papers in Molecular Biology. Recurrent topics in Wei Nie's work include Lung Cancer Treatments and Mutations (26 papers), Cancer Immunotherapy and Biomarkers (18 papers) and Lung Cancer Research Studies (17 papers). Wei Nie is often cited by papers focused on Lung Cancer Treatments and Mutations (26 papers), Cancer Immunotherapy and Biomarkers (18 papers) and Lung Cancer Research Studies (17 papers). Wei Nie collaborates with scholars based in China, United States and United Kingdom. Wei Nie's co-authors include Baohui Han, Tianqing Chu, Runbo Zhong, Xueyan Zhang, Hua Zhong, Qingyu Xiu, Midie Xu, Jun Lü, Changhui Li and Jianlin Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Scientific Reports.

In The Last Decade

Wei Nie

60 papers receiving 829 citations

Hit Papers

Phase 1b Study of Sintilimab Plus Anlotinib as First-line... 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
Wei Nie China 15 435 363 261 193 85 66 839
Shun Lu China 17 395 0.9× 345 1.0× 304 1.2× 161 0.8× 80 0.9× 51 893
Fuxing Zhao China 14 542 1.2× 347 1.0× 251 1.0× 151 0.8× 62 0.7× 56 948
Xiao‐Dong Jiao China 17 383 0.9× 338 0.9× 291 1.1× 213 1.1× 57 0.7× 56 821
Xin Yi China 16 359 0.8× 288 0.8× 331 1.3× 232 1.2× 127 1.5× 66 837
Xuenong Ouyang China 16 395 0.9× 239 0.7× 484 1.9× 211 1.1× 96 1.1× 53 894
Xiaodong Su China 16 207 0.5× 288 0.8× 311 1.2× 212 1.1× 97 1.1× 38 752
Eleonora Lai Italy 14 315 0.7× 145 0.4× 205 0.8× 154 0.8× 93 1.1× 46 572
Wanzun Lin China 15 238 0.5× 238 0.7× 383 1.5× 239 1.2× 155 1.8× 42 804
Yaowei Zhang China 12 252 0.6× 250 0.7× 275 1.1× 178 0.9× 106 1.2× 31 725
Lucheng Zhu China 16 229 0.5× 261 0.7× 277 1.1× 194 1.0× 40 0.5× 54 713

Countries citing papers authored by Wei Nie

Since Specialization
Citations

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

Fields of papers citing papers by Wei Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Nie

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Nie. A scholar is included among the top collaborators of Wei Nie 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 Wei Nie. Wei Nie 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.
Li, Xuetao, Liang‐Shih Fan, Wei Nie, et al.. (2025). Machine Learning‐Assisted Prediction of Ground‐ and Excited‐State Redox Potentials in Iridium(III) Photocatalysts. Angewandte Chemie International Edition. 64(50). e202517393–e202517393.
2.
Wang, Ziwei, Bo Zhu, Wei Nie, et al.. (2025). Endogenous Near‐Infrared Chemiluminescence: Imaging‐Guided Non‐Invasive Thrombolysis and Anti‐Inflammation Based on a Heteronuclear Transition Metal Complex. Advanced Science. 12(19). e2501257–e2501257. 5 indexed citations
3.
Zhu, Ke, Jin Huang, Wei Nie, et al.. (2024). Ultrahigh yield strength heterostructured titanium matrix composites by controlling the α /α′ precipitation sequence. Journal of Alloys and Compounds. 1004. 175886–175886. 4 indexed citations
5.
Patel, Rajni V., A.D. Rao, Xiaojuan Zhu, et al.. (2024). Assessing the Feasibility and Dosimetric Impact of a Non-Animal Stabilized Hyaluronic Acid (NASHA) Rectal Spacer in High-Dose-Rate Brachytherapy for Prostate Cancer. International Journal of Radiation Oncology*Biology*Physics. 120(2). S208–S209.
6.
Zheng, Liang, Fang Hu, Lin Huang, et al.. (2024). Association of metabolomics with PD-1 inhibitor plus chemotherapy outcomes in patients with advanced non-small-cell lung cancer. Journal for ImmunoTherapy of Cancer. 12(4). e008190–e008190. 6 indexed citations
7.
Nie, Wei, et al.. (2024). New steroidal saponins from the aerial parts of Paris polyphylla var. yunnanensis and their effects on blood coagulation. Fitoterapia. 174. 105833–105833. 2 indexed citations
8.
Cheng, Lei, Qiangsheng Hu, Yanan Wang, et al.. (2024). Cis‐Regulation of an m6A Eraser by an Insertion Variant Associated with Survival of Patients With Non‐Small Cell Lung Carcinoma. Advanced Science. 12(5). e2407652–e2407652.
9.
Nie, Wei, et al.. (2024). Ultrasonography is an effective method for evaluating hepatosplenic fungal infections in pediatric onco‐hematological patients. Journal of Clinical Ultrasound. 52(7). 866–874. 3 indexed citations
10.
Xu, Jianlin, Shuyuan Wang, Runbo Zhong, et al.. (2023). On-treatment lung immune prognostic index is predictive for first-line PD-1 inhibitor combined with chemotherapy in patients with non-small cell lung cancer. Frontiers in Immunology. 14. 1173025–1173025. 3 indexed citations
11.
Zhou, Yanan, Pu Peng, Ning Yuan, et al.. (2023). Suicidal ideation in Chinese patients with chronic schizophrenia: prevalence, clinical correlates, and relationship with alexithymia. European Archives of Psychiatry and Clinical Neuroscience. 274(7). 1509–1516. 5 indexed citations
12.
Hu, Jing, Eva Maria Putz, Simin Zheng, et al.. (2023). NMDAR antagonists suppress tumor progression by regulating tumor-associated macrophages. Proceedings of the National Academy of Sciences. 120(47). e2302126120–e2302126120. 17 indexed citations
13.
Nie, Wei, Ying Hu, Le‐Man Kuang, et al.. (2023). Experimental study of modified Tavis-Cummings model with directly-coupled superconducting artificial atoms. Optics Express. 32(1). 179–179. 1 indexed citations
14.
Han, Baohui, Tianqing Chu, Runbo Zhong, et al.. (2021). OA07.09 Sintilimab in Combination with Anlotinib as First-Line Therapy for Advanced NSCLC: Final Analysis of Primary Endpoints. Journal of Thoracic Oncology. 16(3). S119–S119.
15.
Nie, Wei, Minjuan Hu, Qin Zhang, et al.. (2021). DUBR suppresses migration and invasion of human lung adenocarcinoma cells via ZBTB11-mediated inhibition of oxidative phosphorylation. Acta Pharmacologica Sinica. 43(1). 157–166. 18 indexed citations
17.
Hu, Fang, Jianlin Xu, Bo Zhang, et al.. (2018). Efficacy of Local Consolidative Therapy for Oligometastatic Lung Adenocarcinoma Patients Harboring Epidermal Growth Factor Receptor Mutations. Clinical Lung Cancer. 20(1). e81–e90. 42 indexed citations
18.
Liu, Yongan, et al.. (2016). B and T Lymphocyte Attenuator is a Target of miR-155 during Naïve CD4+ T Cell Activation.. PubMed. 13(2). 89–99. 22 indexed citations
19.
Nie, Wei, et al.. (2014). TERT rs2736100 polymorphism contributes to lung cancer risk: a meta-analysis including 49,869 cases and 73,464 controls. Tumor Biology. 35(6). 5569–5574. 10 indexed citations
20.
Wang, Zhan, Lu Gan, Wei Nie, & Yan Geng. (2013). The OGG1 Ser326Cys Polymorphism and the Risk of Esophageal Cancer: A Meta-Analysis. Genetic Testing and Molecular Biomarkers. 17(10). 780–785. 10 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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