Ke Pu
Impact in
- Infectious Diseases top 0.5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 2%
- Long-Term Effects of COVID-19
Papers in
-
- Circular RNAs in diseases 2
- Epigenetics and DNA Methylation 2
-
- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 3
- Cancer Genomics and Diagnostics 1
- Co-authors
- Yongning Zhou (9 shared papers)Yuping Wang (6 shared papers)Qinghong Guo (4 shared papers)Haojia Wang (2 shared papers)Zhaofeng Chen (2 shared papers)Jing Yang (1 shared paper)Xi Gou (1 shared paper)Rui Ji (1 shared paper)
- Journals
- Endoscopy (2 papers)Medicine (1 paper)Frontiers in Oncology (1 paper)Journal of Nanobiotechnology (1 paper)Physiological Research (1 paper)
- Partner nations
- ChinaSingaporeSaudi Arabia
In The Last Decade
Ke Pu
29 papers receiving 3.1k citations
Ke Pu's Hit Papers
Peers
Comparison fields: 5 of 152
- Infectious Diseases 1.5k
- Neurology 660
- Modeling and Simulation 209
- Oncology 419
- Obstetrics and Gynecology 99
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 33 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 | 2864 |
| 2 | 2019 | 42 | |
| 3 | 2019 | 30 | |
| 4 | 2020 | 29 | |
| 5 | 2020 | 26 | |
| 6 | 2018 | 26 | |
| 7 | Application and development trends of network toxicology in the safety assessment of traditional Chinese medicine Hit paper breakdown → | 2025 | 23 |
| 8 | 2020 | 23 | |
| 9 | 2025 | 18 | |
| 10 | 2020 | 17 | |
| 11 | 2021 | 15 | |
| 12 | 2020 | 15 | |
| 13 | 2021 | 15 | |
| 14 | 2021 | 15 | |
| 15 | 2017 | 15 | |
| 16 | 2021 | 13 | |
| 17 | 2020 | 10 | |
| 18 | 2023 | 9 | |
| 19 | 2022 | 9 | |
| 20 | 2024 | 8 |
About Ke Pu
Ke Pu is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Surgery and Pathology and Forensic Medicine, having authored 33 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Ferroptosis and cancer prognosis (3 papers), Esophageal and GI Pathology (3 papers), MicroRNA in disease regulation (3 papers), Circular RNAs in diseases (2 papers), Epigenetics and DNA Methylation (2 papers), Alcohol Consumption and Health Effects (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Infectious Diseases (1.5k citations), Neurology (660 citations), Modeling and Simulation (209 citations), Oncology (419 citations) and Obstetrics and Gynecology (99 citations). Ke Pu has collaborated with scholars based in China, Singapore and Saudi Arabia. Frequent co-authors include Yongning Zhou, Yuping Wang, Qinghong Guo, Haojia Wang, Zhaofeng Chen, Jing Yang, Xi Gou, Rui Ji, Ya Zheng and Boxuan Li. Their work appears in journals such as Endoscopy, Medicine, Frontiers in Oncology, Journal of Nanobiotechnology and Physiological Research.
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.