Nan Wu

3.8k total citations · 1 hit paper
107 papers, 2.1k citations indexed

About

Nan Wu is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Oncology. According to data from OpenAlex, Nan Wu has authored 107 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Pulmonary and Respiratory Medicine, 39 papers in Molecular Biology and 26 papers in Oncology. Recurrent topics in Nan Wu's work include Lung Cancer Diagnosis and Treatment (36 papers), Lung Cancer Treatments and Mutations (32 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Nan Wu is often cited by papers focused on Lung Cancer Diagnosis and Treatment (36 papers), Lung Cancer Treatments and Mutations (32 papers) and Radiomics and Machine Learning in Medical Imaging (16 papers). Nan Wu collaborates with scholars based in China, Ethiopia and United States. Nan Wu's co-authors include Shaolei Li, Xiaojiang Wu, Zhaode Bu, Xianwen Ren, Hanqiang Ouyang, Zemin Zhang, Ji Zhang, Hong Zheng, Ranran Gao and Anqiang Wang and has published in prestigious journals such as Science, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Nan Wu

102 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pan-cancer single-cell landscape of tumor-infiltrating T cells

2021 699 citations Liangtao Zheng, Shishang Qin et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nan Wu China	21	881	715	535	525	519	107	2.1k
Giosuè Scognamiglio Italy	33	986 1.1×	1.0k 1.4×	600 1.1×	517 1.0×	291 0.6×	83	2.3k
Zixian Wang China	28	921 1.0×	760 1.1×	578 1.1×	219 0.4×	579 1.1×	111	2.4k
Rafał Matkowski Poland	28	865 1.0×	1.2k 1.7×	696 1.3×	363 0.7×	316 0.6×	183	2.3k
Peng Yuan China	27	806 0.9×	951 1.3×	735 1.4×	201 0.4×	392 0.8×	148	2.1k
Xi Jin China	26	1.3k 1.4×	775 1.1×	1.0k 1.9×	326 0.6×	668 1.3×	83	2.5k
Vasiliki Pelekanou United States	30	720 0.8×	1.8k 2.5×	607 1.1×	838 1.6×	768 1.5×	75	3.0k
Lisha Qi China	28	1.4k 1.6×	585 0.8×	893 1.7×	201 0.4×	415 0.8×	71	2.4k
Anita Mangia Italy	29	1.4k 1.5×	1.2k 1.7×	797 1.5×	300 0.6×	407 0.8×	108	2.7k
Jianjun He China	27	940 1.1×	837 1.2×	846 1.6×	386 0.7×	433 0.8×	86	2.2k

Countries citing papers authored by Nan Wu

Since Specialization

Citations

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

Fields of papers citing papers by Nan Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Wu. A scholar is included among the top collaborators of Nan Wu 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 Nan Wu. Nan Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wu, Nan, Yanan Liu, Min Yue, et al.. (2025). Glycodeoxycholic acid alleviates central precocious puberty by modulating gut microbiota and metabolites in high-fat diet-fed female rats. Cellular and Molecular Life Sciences. 82(1). 163–163. 2 indexed citations

Li, Yulong, Bing Liu, Xuantong Zhou, et al.. (2024). Genome-Scale Multimodal Analysis of Cell-Free DNA Whole-Methylome Sequencing for Noninvasive Esophageal Cancer Detection. JCO Precision Oncology. 8(8). e2400111–e2400111. 1 indexed citations

Huang, Miao, Bing Liu, Xiang Li, et al.. (2024). Beneficial implications of adjuvant chemotherapy for stage IB lung adenocarcinoma exhibiting elevated SUVmax in FDG-PET/CT: a retrospective study from a single center. Frontiers in Oncology. 14. 1367200–1367200. 1 indexed citations

Liu, Yanfang, Yan Wang, Bing Liu, et al.. (2023). Targeting lncRNA16 by GalNAc-siRNA conjugates facilitates chemotherapeutic sensibilization via the HBB/NDUFAF5/ROS pathway. Science China Life Sciences. 67(4). 663–679. 11 indexed citations

Chen, Nuo, Ming Zhao, Yaxin Guo, et al.. (2023). D-mannose is a rapid inducer of ACSS2 to trigger rapid and long-lasting antidepressant responses through augmenting BDNF and TPH2 levels. Translational Psychiatry. 13(1). 338–338. 6 indexed citations

Zhou, Xuantong, et al.. (2022). Dysregulated ceramides metabolism by fatty acid 2-hydroxylase exposes a metabolic vulnerability to target cancer metastasis. Signal Transduction and Targeted Therapy. 7(1). 370–370. 32 indexed citations

Wu, Nan, Ming Zhao, Nuo Chen, et al.. (2022). IL-33 in the basolateral amygdala integrates neuroinflammation into anxiogenic circuits via modulating BDNF expression. Brain Behavior and Immunity. 102. 98–109. 27 indexed citations

Wang, Yaqi, Xin Yang, Bing Liu, et al.. (2022). Percentage of Newly Proposed High-Grade Patterns Is Associated with Prognosis of Pathological T1-2N0M0 Lung Adenocarcinoma. Annals of Surgical Oncology. 29(7). 4437–4447. 7 indexed citations

Zheng, Liangtao, Shishang Qin, Wen Si, et al.. (2021). Pan-cancer single-cell landscape of tumor-infiltrating T cells. Science. 374(6574). abe6474–abe6474. 699 indexed citations breakdown →

10.

Liu, Hongyue, Qiong Du, Hui Zhang, et al.. (2021). Efficacy and safety of domestic and imported gefitinib in patients with advanced non-small cell lung cancer. Annals of Palliative Medicine. 10(1). 10–15. 5 indexed citations

11.

Li, Shaolei & Nan Wu. (2021). ASO Author Reflections: Proposed Nodal Categories for Future Editions of the TNM Classification of Non-small Cell Lung Cancer. Annals of Surgical Oncology. 28(8). 4517–4518. 1 indexed citations

12.

Zhou, Juntuo, Bing Liu, Zhongwu Li, et al.. (2020). Proteomic Analyses Identify Differentially Expressed Proteins and Pathways Between Low-Risk and High-Risk Subtypes of Early-Stage Lung Adenocarcinoma and Their Prognostic Impacts. Molecular & Cellular Proteomics. 20. 100015–100015. 11 indexed citations

13.

Wang, X., et al.. (2019). MA10.02 Deep Learning with Radiomics May Predict High-Grade Lung Adenocarcinoma Based on Histological Patterns in Ground Glass Opacity Lesions. Journal of Thoracic Oncology. 14(10). S286–S286. 1 indexed citations

14.

Wang, Xing, Yan Shi, Yaqi Wang, et al.. (2018). Adjuvant chemotherapy may improve outcome of patients with non-small-cell lung cancer with metastasis of intrapulmonary lymph nodes after systematic dissection of N1 nodes. Chinese Journal of Cancer Research. 30(6). 588–595. 4 indexed citations

15.

Li, Jingjing, Yan Shi, Zhen Liu, et al.. (2017). Multiregional Sequencing Reveals Genomic Alterations and Clonal Dynamics in Primary Malignant Melanoma of the Esophagus. Cancer Research. 78(2). 338–347. 13 indexed citations

16.

Wang, Xing, Yan Shi, Chao Lv, et al.. (2017). Impact of Omission of Intrapulmonary Lymph Node Retrieval on Outcome Evaluation of Lung Cancer Patients Without Lymph Node Metastasis: A Propensity Score Matching Analysis. Clinical Lung Cancer. 18(6). e411–e416. 12 indexed citations

17.

Wang, Xing, Yang Wang, Shaolei Li, et al.. (2014). Decreased maspin combined with elevated vascular endothelial growth factor C is associated with poor prognosis in non‐small cell lung cancer. Thoracic Cancer. 5(5). 383–390. 5 indexed citations

18.

Zheng, Qingfeng, Shaolei Li, Lijian Zhang, et al.. (2013). Retrospective study of surgical resection in the treatment of limited stage small cell lung cancer. Thoracic Cancer. 4(4). 395–399. 7 indexed citations

19.

Wang, Yang, Shijie Sheng, Jianzhi Zhang, et al.. (2013). Elevated Maspin Expression Is Associated with Better Overall Survival in Esophageal Squamous Cell Carcinoma (ESCC). PLoS ONE. 8(5). e63581–e63581. 19 indexed citations

20.

Chen, Xiaopan, Ning Li, Shizhi Wang, et al.. (2003). Leukotriene A4 Hydrolase in Rat and Human Esophageal Adenocarcinomas and Inhibitory Effects of Bestatin. JNCI Journal of the National Cancer Institute. 95(14). 1053–1061. 66 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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