Ke Pu
Impact in
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Modeling and Simulation top 1%
- COVID-19 epidemiological studies
Papers in
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- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 2
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- Oral microbiology and periodontitis research 2
- Co-authors
- Yongning Zhou (9 shared papers)Yuping Wang (6 shared papers)Qinghong Guo (4 shared papers)Zhaofeng Chen (2 shared papers)Haojia Wang (2 shared papers)Xi Gou (1 shared paper)Jing Yang (1 shared paper)Ya Zheng (1 shared paper)
In The Last Decade
Ke Pu
27 papers receiving 3.4k citations
Ke Pu's Hit Papers
Peers
Comparison fields: 5 of 141
- Infectious Diseases 1.9k
- Modeling and Simulation 253
- General Dentistry 17
- Oncology 202
- Neurology 116
Countries citing papers authored by Ke Pu
This map shows the geographic impact of Ke 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 Ke Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Pu more than expected).
Fields of papers citing papers by Ke Pu
This network shows the impact of papers produced by Ke 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 Ke Pu. The network helps show where Ke Pu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis Hit paper breakdown → | 2020 | 3077 |
| 2 | 2019 | 42 | |
| 3 | Application and development trends of network toxicology in the safety assessment of traditional Chinese medicine Hit paper breakdown → | 2025 | 36 |
| 4 | 2019 | 33 | |
| 5 | 2020 | 33 | |
| 6 | 2018 | 29 | |
| 7 | 2020 | 29 | |
| 8 | 2020 | 26 | |
| 9 | 2020 | 23 | |
| 10 | 2021 | 20 | |
| 11 | 2020 | 19 | |
| 12 | 2021 | 18 | |
| 13 | 2017 | 16 | |
| 14 | 2021 | 16 | |
| 15 | 2020 | 15 | |
| 16 | 2021 | 13 | |
| 17 | 2020 | 11 | |
| 18 | 2025 | 11 | |
| 19 | 2024 | 10 | |
| 20 | 2022 | 9 |
About Ke Pu
Ke Pu is a scholar working on Cancer Research, Periodontics, Complementary and alternative medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 31 papers that have together received 3.5k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (3 papers), MicroRNA in disease regulation (3 papers), Oral microbiology and periodontitis research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Epigenetics and DNA Methylation (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Cancer-related molecular mechanisms research (2 papers) and Gastrointestinal Bleeding Diagnosis and Treatment (1 paper). The work is most often cited by research in Infectious Diseases (1.9k citations), Modeling and Simulation (253 citations), General Dentistry (17 citations), Oncology (202 citations) and Neurology (116 citations). Ke Pu has collaborated with scholars based in China and Australia. Frequent co-authors include Yongning Zhou, Yuping Wang, Qinghong Guo, Zhaofeng Chen, Haojia Wang, Xi Gou, Jing Yang, Ya Zheng, Boxuan Li and Xin'an Wu. Their work appears in journals such as Endoscopy, International Journal of Infectious Diseases, Frontiers in Medicine, Cancer Cell International and Frontiers in Oncology.
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.