Ning Pu
Impact in
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
- Oncology 45
- Pancreatic and Hepatic Oncology Research 32
- Cancer Immunotherapy and Biomarkers 11
- Inflammatory Biomarkers in Disease Prognosis 4
- Immunology 17
- Immune cells in cancer 8
- Immune Cell Function and Interaction 5
- Co-authors
- Wenchuan Wu (30 shared papers)Hanlin Yin (27 shared papers)Qiangda Chen (24 shared papers)Wenhui Lou (19 shared papers)Jun Yu (19 shared papers)Wenhui Lou (16 shared papers)Guochao Zhao (14 shared papers)Dansong Wang (12 shared papers)
- Journals
- Annals of Translational Medicine (5 papers)Advanced Science (4 papers)Journal of Cancer (4 papers)Critical Reviews in Oncology/Hematology (2 papers)Endocrine Connections (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ning Pu
96 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 97
- Oncology 673
- Cancer Research 209
- Immunology 270
- Physiology 52
- Epidemiology 192
Countries citing papers authored by Ning Pu
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
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-authors
The 25 scholars most cited alongside Ning Pu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 78 | |
| 2 | 2021 | 72 | |
| 3 | 2018 | 70 | |
| 4 | 2023 | 65 | |
| 5 | 2020 | 65 | |
| 6 | 2022 | 51 | |
| 7 | 2018 | 50 | |
| 8 | 2018 | 46 | |
| 9 | 2017 | 42 | |
| 10 | 2020 | 41 | |
| 11 | 2018 | 40 | |
| 12 | 2020 | 39 | |
| 13 | 2011 | 37 | |
| 14 | 2025 | 35 | |
| 15 | 2019 | 35 | |
| 16 | 2019 | 33 | |
| 17 | 2020 | 33 | |
| 18 | 2018 | 33 | |
| 19 | 2017 | 32 | |
| 20 | 2019 | 32 |
About Ning Pu
Ning Pu is a scholar working on Oncology, Immunology, Cancer Research, Pulmonary and Respiratory Medicine and Epidemiology, having authored 105 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (32 papers), Cancer Immunotherapy and Biomarkers (11 papers), Immune cells in cancer (8 papers), Immune Cell Function and Interaction (5 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Pancreatitis Pathology and Treatment (4 papers), Cancer, Lipids, and Metabolism (4 papers) and Ferroptosis and cancer prognosis (4 papers). The work is most often cited by research in Oncology (673 citations), Cancer Research (209 citations), Immunology (270 citations), Physiology (52 citations) and Epidemiology (192 citations). Ning Pu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Wenchuan Wu, Hanlin Yin, Qiangda Chen, Wenhui Lou, Jun Yu, Wenhui Lou, Guochao Zhao, Dansong Wang, Tiantao Kuang and Xuefeng Xu. Their work appears in journals such as Annals of Translational Medicine, Advanced Science, Journal of Cancer, Critical Reviews in Oncology/Hematology and Endocrine Connections.
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.