Ning Pu

2.0k total citations
98 papers, 1.4k citations indexed

About

Ning Pu is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ning Pu has authored 98 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Oncology, 24 papers in Surgery and 20 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ning Pu's work include Pancreatic and Hepatic Oncology Research (35 papers), Cancer Immunotherapy and Biomarkers (15 papers) and Pancreatitis Pathology and Treatment (13 papers). Ning Pu is often cited by papers focused on Pancreatic and Hepatic Oncology Research (35 papers), Cancer Immunotherapy and Biomarkers (15 papers) and Pancreatitis Pathology and Treatment (13 papers). Ning Pu collaborates with scholars based in China, United States and Japan. Ning Pu's co-authors include Wenchuan Wu, Hanlin Yin, Qiangda Chen, Wenhui Lou, Guochao Zhao, Wenhui Lou, Jun Yu, Dansong Wang, Tiantao Kuang and Xuefeng Xu and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Annals of Surgery.

In The Last Decade

Ning Pu

86 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ning Pu China 23 699 359 285 278 259 98 1.4k
Yue Yu China 22 382 0.5× 600 1.7× 268 0.9× 316 1.1× 320 1.2× 110 1.7k
Bernhard W. Renz Germany 17 692 1.0× 311 0.9× 132 0.5× 322 1.2× 159 0.6× 69 1.4k
Nathaniel M. Weathington United States 25 335 0.5× 733 2.0× 211 0.7× 512 1.8× 254 1.0× 40 1.9k
Hirohisa Ogawa Japan 24 352 0.5× 556 1.5× 178 0.6× 276 1.0× 281 1.1× 89 1.6k
Tianwen Gao China 22 326 0.5× 347 1.0× 223 0.8× 557 2.0× 153 0.6× 91 1.5k
Wey‐Ran Lin Taiwan 21 318 0.5× 541 1.5× 282 1.0× 103 0.4× 282 1.1× 76 1.4k
Sally Thomas United Kingdom 14 338 0.5× 494 1.4× 403 1.4× 225 0.8× 157 0.6× 26 1.6k
Min‐Kyung Yeo South Korea 20 303 0.4× 458 1.3× 143 0.5× 215 0.8× 255 1.0× 94 1.3k
Hwee Ying Lim Singapore 16 631 0.9× 454 1.3× 108 0.4× 327 1.2× 150 0.6× 28 1.4k
Yan Shen China 17 382 0.5× 589 1.6× 115 0.4× 167 0.6× 294 1.1× 40 1.1k

Countries citing papers authored by Ning Pu

Since Specialization
Citations

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

Fields of papers citing papers by Ning Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Pu

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Pu. A scholar is included among the top collaborators of Ning Pu 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 Ning Pu. Ning Pu 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.
Zhang, Zheng, Huaxiang Xu, Junyi He, et al.. (2025). Inhibition of KLF5 promotes ferroptosis via the ZEB1/HMOX1 axis to enhance sensitivity to oxaliplatin in cancer cells. Cell Death and Disease. 16(1). 28–28. 6 indexed citations
2.
Pu, Ning, Jin Jin, Yuanping Xu, et al.. (2024). Enhanced Detection of Glass Insulator Defects Using Improved Generative Modeling and Faster RCNN. Procedia CIRP. 129. 31–36. 2 indexed citations
3.
Chen, Qiangda, Hanlin Yin, Siyao Liu, et al.. (2024). Poor clinical outcomes and immunoevasive contexture in CD161+CD8+ T cells barren human pancreatic cancer. Journal for ImmunoTherapy of Cancer. 12(3). e008694–e008694. 8 indexed citations
4.
Pu, Ning, Siyao Liu, Jiali Yang, et al.. (2023). Outcomes of Patients Undergoing Elective Pancreatic Surgery During COVID-19 Pandemic: A Multicenter, Prospective Cohort Study. 2(4). 229–237. 2 indexed citations
5.
6.
Chen, Qiangda, Hanlin Yin, Junyi He, et al.. (2023). Tumor Microenvironment Responsive CD8+ T Cells and Myeloid‐Derived Suppressor Cells to Trigger CD73 Inhibitor AB680‐Based Synergistic Therapy for Pancreatic Cancer. Advanced Science. 10(33). e2302498–e2302498. 17 indexed citations
7.
Chen, Qiangda, Hanlin Yin, Siyao Liu, et al.. (2022). Prognostic value of tumor-associated N1/N2 neutrophil plasticity in patients following radical resection of pancreas ductal adenocarcinoma. Journal for ImmunoTherapy of Cancer. 10(12). e005798–e005798. 44 indexed citations
8.
Shoucair, Sami, Ning Pu, Joseph R. Habib, et al.. (2022). Obstructive sleep apnea predicts pathologic response to neoadjuvant therapy in resected pancreatic ductal adenocarcinoma. SHILAP Revista de lepidopterología. 3(4). e184–e184. 2 indexed citations
9.
Pu, Ning, Qiangda Chen, Hanlin Yin, et al.. (2022). Identification of an Immune-Related BAT Signature for Predicting Adjuvant Chemotherapy Response and Overall Survival in Patients with Resected Ductal Adenocarcinoma of the Pancreas. Journal of Gastrointestinal Surgery. 26(4). 869–886. 9 indexed citations
10.
Chen, Qiangda, et al.. (2021). Chemokine C‐C motif ligand 21 synergized with programmed death‐ligand 1 blockade restrains tumor growth. Cancer Science. 112(11). 4457–4469. 10 indexed citations
11.
Yin, Hanlin, Ning Pu, Qiangda Chen, et al.. (2021). Gut-derived lipopolysaccharide remodels tumoral microenvironment and synergizes with PD-L1 checkpoint blockade via TLR4/MyD88/AKT/NF-κB pathway in pancreatic cancer. Cell Death and Disease. 12(11). 1033–1033. 60 indexed citations
12.
Chen, Qiangda, Ning Pu, Hanlin Yin, et al.. (2021). A metabolism-relevant signature as a predictor for prognosis and therapeutic response in pancreatic cancer. Experimental Biology and Medicine. 247(2). 120–130. 4 indexed citations
13.
Yin, Hanlin, et al.. (2021). Basophils as a potential therapeutic target in cancer. Journal of Zhejiang University SCIENCE B. 22(12). 971–984. 11 indexed citations
14.
Pu, Ning, Qiangda Chen, Wei Gan, et al.. (2021). Lymph Node Metastatic Patterns and Survival Predictors Based on Tumor Size in Pancreatic Ductal Adenocarcinoma. Advances in Therapy. 38(8). 4258–4270. 11 indexed citations
15.
Yin, Lingdi, Ning Pu, Elizabeth Thompson, et al.. (2020). Improved Assessment of Response Status in Patients with Pancreatic Cancer Treated with Neoadjuvant Therapy using Somatic Mutations and Liquid Biopsy Analysis. Clinical Cancer Research. 27(3). 740–748. 38 indexed citations
16.
Pu, Ning, Lingdi Yin, Joseph R. Habib, et al.. (2019). Optimized Modification of the Eighth Edition of AJCC TNM Staging System for Resected Pancreatic Ductal Adenocarcinoma. Future Oncology. 15(30). 3457–3465. 10 indexed citations
17.
Pu, Ning, Yaolin Xu, Yuan Fang, et al.. (2018). Comparison of prognostic prediction between nomogram based on lymph node ratio and AJCC 8th staging system for patients with resected pancreatic head carcinoma: a SEER analysis. Cancer Management and Research. Volume 10. 227–238. 37 indexed citations
18.
Pu, Ning, Guochao Zhao, Hanlin Yin, et al.. (2018). CD25 and TGF-β blockade based on predictive integrated immune ratio inhibits tumor growth in pancreatic cancer. Journal of Translational Medicine. 16(1). 294–294. 43 indexed citations
19.
Pu, Ning, Jingjing Yang, & Tieying Sun. (2017). Analysis of prevalence rate and risk factors for aspiration pneumonia in elderly inpatients. Zhonghua laonian yixue zazhi. 36(4). 428–432. 2 indexed citations
20.

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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