Nan Wu

1.8k total citations
49 papers, 1.2k citations indexed

About

Nan Wu is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nan Wu has authored 49 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 16 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nan Wu's work include Lung Cancer Research Studies (6 papers), Neuroendocrine Tumor Research Advances (5 papers) and Chronic Myeloid Leukemia Treatments (5 papers). Nan Wu is often cited by papers focused on Lung Cancer Research Studies (6 papers), Neuroendocrine Tumor Research Advances (5 papers) and Chronic Myeloid Leukemia Treatments (5 papers). Nan Wu collaborates with scholars based in China, United States and Japan. Nan Wu's co-authors include David MacPherson, Yuangang Zu, Ali H. Ibrahim, Ryan Basom, Deshui Jia, Tetsuya Kurosu, Osamu Miura, Yujie Fu, Yu Kong and Emily Eastwood and has published in prestigious journals such as Journal of Clinical Investigation, Genes & Development and Gastroenterology.

In The Last Decade

Nan Wu

44 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan Wu China 19 567 446 217 127 124 49 1.2k
Maria Grazia Refolo Italy 18 459 0.8× 223 0.5× 146 0.7× 119 0.9× 246 2.0× 30 992
Armel Hervé Nwabo Kamdje Cameroon 19 685 1.2× 349 0.8× 120 0.6× 144 1.1× 268 2.2× 46 1.4k
Alok Ranjan United States 18 610 1.1× 242 0.5× 114 0.5× 106 0.8× 221 1.8× 38 1.1k
Kyung‐Sun Heo South Korea 29 1.2k 2.1× 178 0.4× 231 1.1× 117 0.9× 345 2.8× 81 2.0k
Yuqin Yao China 23 765 1.3× 321 0.7× 261 1.2× 358 2.8× 200 1.6× 80 1.8k
Rit Vatsyayan United States 22 634 1.1× 178 0.4× 87 0.4× 81 0.6× 111 0.9× 33 1.1k
Zahra Asadzadeh Iran 23 668 1.2× 573 1.3× 75 0.3× 140 1.1× 320 2.6× 45 1.7k
Chao‐Wen Cheng Taiwan 22 578 1.0× 249 0.6× 143 0.7× 85 0.7× 191 1.5× 65 1.4k
Jian Liang China 25 808 1.4× 117 0.3× 130 0.6× 123 1.0× 222 1.8× 74 1.5k
Yurai Okaji Japan 21 910 1.6× 314 0.7× 286 1.3× 80 0.6× 243 2.0× 40 1.6k

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

20 of 20 papers shown
1.
Hieber, Maren, Nan Wu, Sergey V. Tokalov, et al.. (2025). Pancreatic cancer cells infiltrate nerves through TGFbeta1-driven perineural epithelial-to-mesenchymal-like transdifferentiation. Neoplasia. 60. 101126–101126. 2 indexed citations
2.
Wu, Nan, et al.. (2025). scUCAF: An uncertainty-aware cross-omics alignment and fusion network for single-cell multi-omics data clustering. Computational Biology and Chemistry. 120(Pt 1). 108631–108631.
3.
Li, Xin, Xiaoyan Pang, Bingyu Zhang, et al.. (2025). Cardiac aging: Molecular mechanisms and therapeutic interventions. Pharmacological Research. 221. 107954–107954.
4.
Guo, Yuan, et al.. (2025). [Retracted]. International Journal of Molecular Medicine. 57(2). 1–1.
5.
Zhang, Miao, Xueting Yao, Lei Zhang, et al.. (2024). Model informed drug development: HSK21542 PBPK model supporting dose decisions in specific populations. European Journal of Pharmaceutical Sciences. 196. 106763–106763. 2 indexed citations
7.
Zhang, Liqiang, Meihua Zhang, Yan Jin, et al.. (2024). A collaborative docking strategy for medium-to-large segments based on the combined field-of-view measurement system. Measurement. 242. 116313–116313. 1 indexed citations
8.
Huang, Wenqiang, Tian Tian, Siqi Zhang, et al.. (2023). A Polar-Modulation-Based Cryogenic Transmon Qubit State Controller in 28 nm Bulk CMOS for Superconducting Quantum Computing. IEEE Journal of Solid-State Circuits. 58(11). 3060–3073. 4 indexed citations
9.
Zhang, Miao, Shudong Zhang, Xueting Yao, et al.. (2023). Dose decision of HSK7653 oral immediate release tablets in specific populations clinical trials based on mechanistic physiologically-based pharmacokinetic model. European Journal of Pharmaceutical Sciences. 189. 106553–106553. 3 indexed citations
10.
Chen, Si, Nan Wu, Qiannan Liu, et al.. (2022). Comprehensive Analysis of Prognostic Microenvironment-Related Genes in Invasive Breast Cancer. Frontiers in Oncology. 11. 576911–576911. 3 indexed citations
11.
Huang, Lingli, et al.. (2022). Novel immune subtypes identification of HER2-positive breast cancer based on immunogenomic landscape. Medical Oncology. 39(7). 92–92. 1 indexed citations
12.
Augert, Arnaud, Haritha Mathsyaraja, Ali H. Ibrahim, et al.. (2020). MAX Functions as a Tumor Suppressor and Rewires Metabolism in Small Cell Lung Cancer. Cancer Cell. 38(1). 97–114.e7. 51 indexed citations
13.
Wu, Mengjie, Yongfeng Ding, Xiaoxia Jiang, et al.. (2020). Overexpressed MAGP1 Is Associated With a Poor Prognosis and Promotes Cell Migration and Invasion in Gastric Cancer. Frontiers in Oncology. 9. 1544–1544. 5 indexed citations
14.
Liu, Zhixian, Zehang Jiang, Nan Wu, Guoren Zhou, & Xiaosheng Wang. (2020). Classification of gastric cancers based on immunogenomic profiling. Translational Oncology. 14(1). 100888–100888. 8 indexed citations
15.
Augert, Arnaud, Emily Eastwood, Ali H. Ibrahim, et al.. (2019). Targeting NOTCH activation in small cell lung cancer through LSD1 inhibition. Science Signaling. 12(567). 154 indexed citations
16.
Jia, Deshui, Arnaud Augert, Dong Wook Kim, et al.. (2018). Crebbp Loss Drives Small Cell Lung Cancer and Increases Sensitivity to HDAC Inhibition. Cancer Discovery. 8(11). 1422–1437. 115 indexed citations
17.
Zhao, Xin, et al.. (2017). Expression of Ski and its role in astrocyte proliferation and migration. Neuroscience. 362. 1–12. 18 indexed citations
18.
Kim, Dong Wook, Nan Wu, Young‐Chul Kim, et al.. (2016). Genetic requirement forMycland efficacy of RNA Pol I inhibition in mouse models of small cell lung cancer. Genes & Development. 30(11). 1289–1299. 72 indexed citations
19.
Wu, Nan, et al.. (2009). The investigation of benign prostatic hyperplasia and its related factors in geriatrics department of eleven cities in China. 28(9). 774–776. 1 indexed citations
20.
Zhao, Xiaohui, Nan Wu, Jian Zhou, et al.. (2006). A technique for retrograde intubation in mice. Lab Animal. 35(3). 39–42. 13 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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