Dan Pu
Impact in
-
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
- Inflammatory Biomarkers in Disease Prognosis
- Complementary and Manual Therapy top 10%
Papers in ⓘ
- Oncology 20
- Lung Cancer Research Studies 8
- Cancer Immunotherapy and Biomarkers 7
-
- RNA modifications and cancer 4
- RNA Research and Splicing 3
- Co-authors
- Yuwen Zhou (6 shared papers)Jiyan Liu (6 shared papers)Xuelei Ma (4 shared papers)Yao Xie (1 shared paper)Liansha Tang (1 shared paper)Yajuan Zhu (2 shared papers)Qiang Wu (3 shared papers)Lu Li (3 shared papers)
- Journals
- International Immunopharmacology (4 papers)Frontiers in Oncology (4 papers)Clinical Neurology and Neurosurgery (2 papers)Journal of Clinical Oncology (2 papers)Frontiers in Pharmacology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dan Pu
51 papers receiving 597 citations
Peers
Comparison fields: 5 of 98
- Oncology 182
- Complementary and Manual Therapy 14
- Cancer Research 81
- Immunology 108
- Infectious Diseases 60
Countries citing papers authored by Dan Pu
This map shows the geographic impact of Dan 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 Dan Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Pu more than expected).
Fields of papers citing papers by Dan Pu
This network shows the impact of papers produced by Dan 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 Dan Pu. The network helps show where Dan Pu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 81 | |
| 2 | 2021 | 69 | |
| 3 | 2017 | 39 | |
| 4 | 2020 | 39 | |
| 5 | 2018 | 32 | |
| 6 | 2020 | 30 | |
| 7 | 2019 | 27 | |
| 8 | 2021 | 23 | |
| 9 | 2022 | 19 | |
| 10 | 2020 | 16 | |
| 11 | 2023 | 16 | |
| 12 | 2017 | 16 | |
| 13 | 2019 | 15 | |
| 14 | 2019 | 13 | |
| 15 | 2022 | 13 | |
| 16 | 2014 | 13 | |
| 17 | 2014 | 12 | |
| 18 | 2022 | 11 | |
| 19 | 2020 | 10 | |
| 20 | 2024 | 9 |
About Dan Pu
Dan Pu is a scholar working on Oncology, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Immunology, having authored 54 papers that have together received 602 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (8 papers), Cancer Immunotherapy and Biomarkers (7 papers), Lung Cancer Treatments and Mutations (6 papers), RNA modifications and cancer (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), Neuroendocrine Tumor Research Advances (4 papers), RNA Research and Splicing (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Oncology (182 citations), Complementary and Manual Therapy (14 citations), Cancer Research (81 citations), Immunology (108 citations) and Infectious Diseases (60 citations). Dan Pu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuwen Zhou, Jiyan Liu, Xuelei Ma, Yao Xie, Liansha Tang, Yajuan Zhu, Qiang Wu, Lu Li, Liyuan Yin and Yan Li. Their work appears in journals such as International Immunopharmacology, Frontiers in Oncology, Clinical Neurology and Neurosurgery, Journal of Clinical Oncology and Frontiers in Pharmacology.
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.