Ning Pu
Impact in
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in ⓘ
- Oncology 50
- Pancreatic and Hepatic Oncology Research 35
- Cancer Immunotherapy and Biomarkers 15
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- Cancer Genomics and Diagnostics 10
- Co-authors
- Wenchuan Wu (30 shared papers)Hanlin Yin (28 shared papers)Wenhui Lou (20 shared papers)Qiangda Chen (25 shared papers)Guochao Zhao (15 shared papers)Jun Yu (18 shared papers)Wenhui Lou (16 shared papers)Dansong Wang (12 shared papers)
- Journals
- Journal of Cancer (4 papers)Annals of Translational Medicine (3 papers)Endocrine Connections (2 papers)Critical Care (2 papers)Cancer Letters (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ning Pu
86 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 108
- Oncology 699
- Cancer Research 259
- Immunology 278
- Physiology 52
- Epidemiology 285
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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 73 | |
| 2 | 2020 | 62 | |
| 3 | 2021 | 60 | |
| 4 | 2018 | 58 | |
| 5 | 2023 | 52 | |
| 6 | 2018 | 48 | |
| 7 | 2022 | 44 | |
| 8 | 2018 | 43 | |
| 9 | 2020 | 38 | |
| 10 | 2017 | 38 | |
| 11 | 2018 | 37 | |
| 12 | 2011 | 36 | |
| 13 | 2020 | 34 | |
| 14 | 2020 | 33 | |
| 15 | 2017 | 30 | |
| 16 | 2018 | 29 | |
| 17 | 2019 | 28 | |
| 18 | 2017 | 27 | |
| 19 | 2019 | 26 | |
| 20 | 2019 | 26 |
About Ning Pu
Ning Pu is a scholar working on Oncology, Cancer Research, Immunology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 98 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (35 papers), Cancer Immunotherapy and Biomarkers (15 papers), Pancreatitis Pathology and Treatment (13 papers), Cancer Genomics and Diagnostics (10 papers), Immune cells in cancer (9 papers), Neuroendocrine Tumor Research Advances (9 papers), Pneumonia and Respiratory Infections (6 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers). The work is most often cited by research in Oncology (699 citations), Cancer Research (259 citations), Immunology (278 citations), Physiology (52 citations) and Epidemiology (285 citations). Ning Pu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Wenchuan Wu, Hanlin Yin, Wenhui Lou, Qiangda Chen, Guochao Zhao, Jun Yu, Wenhui Lou, Dansong Wang, Tiantao Kuang and Xuefeng Xu. Their work appears in journals such as Journal of Cancer, Annals of Translational Medicine, Endocrine Connections, Critical Care and Cancer Letters.
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.