Peng Peng
Impact in
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS Research and Interventions
- Neurology top 2%
- Long-Term Effects of COVID-19
Papers in
-
- Cerebrovascular and Carotid Artery Diseases 11
- Epidemiology 40
- Co-authors
- Huan‐Zhong Shi (5 shared papers)Qi Zhu (4 shared papers)Ming Hu (2 shared papers)Juan Du (2 shared papers)Ming Li (1 shared paper)Wen Wang (1 shared paper)Lei Zhang (4 shared papers)Bing Sun (2 shared papers)
- Journals
- PLoS ONE (7 papers)Frontiers in Medicine (6 papers)Scientific Reports (6 papers)Journal of Orthopaedic Surgery and Research (5 papers)Frontiers in Oncology (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Peng Peng
214 papers receiving 4.0k citations
Peng Peng's Hit Papers
Peers
Comparison fields: 5 of 179
- Infectious Diseases 1.5k
- Neurology 737
- Oncology 574
- Epidemiology 727
- Modeling and Simulation 92
Countries citing papers authored by Peng Peng
This map shows the geographic impact of Peng Peng'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 Peng Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Peng more than expected).
Fields of papers citing papers by Peng Peng
This network shows the impact of papers produced by Peng Peng. 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 Peng Peng. The network helps show where Peng Peng may publish in the future.
Co-authors
The 25 scholars most cited alongside Peng Peng, 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 238 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Predictors of mortality for patients with COVID-19 pneumonia caused by SARS-CoV-2: a prospective cohort study Hit paper breakdown → | 2020 | 980 |
| 2 | 2020 | 229 | |
| 3 | 2020 | 163 | |
| 4 | 2017 | 146 | |
| 5 | 2019 | 132 | |
| 6 | 2014 | 106 | |
| 7 | [Recent incidences and trends of childhood malignant solid tumors in Shanghai, 2002-2010]. | 2013 | 78 |
| 8 | 2018 | 74 | |
| 9 | 2016 | 60 | |
| 10 | 2018 | 54 | |
| 11 | 2018 | 53 | |
| 12 | 2018 | 46 | |
| 13 | 2019 | 46 | |
| 14 | 2020 | 43 | |
| 15 | 2010 | 40 | |
| 16 | 2020 | 39 | |
| 17 | 2021 | 39 | |
| 18 | 2019 | 38 | |
| 19 | 2014 | 33 | |
| 20 | Human ovarian tumor ascites fluids rapidly and reversibly inhibit T cell receptor-induced NF-κB and NFAT signaling in tumor-associated T cells. | 2013 | 33 |
About Peng Peng
Peng Peng is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Surgery, Infectious Diseases and Oncology, having authored 238 papers that have together received 4.1k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (15 papers), Iron Metabolism and Disorders (14 papers), Animal Virus Infections Studies (11 papers), Cerebrovascular and Carotid Artery Diseases (11 papers), Viral gastroenteritis research and epidemiology (10 papers), Ovarian cancer diagnosis and treatment (9 papers), COVID-19 Clinical Research Studies (9 papers) and Bone and Joint Diseases (9 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Neurology (737 citations), Oncology (574 citations), Epidemiology (727 citations) and Modeling and Simulation (92 citations). Peng Peng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Huan‐Zhong Shi, Qi Zhu, Ming Hu, Juan Du, Ming Li, Wen Wang, Lei Zhang, Bing Sun, Shu Su and Christopher K. Fairley. Their work appears in journals such as PLoS ONE, Frontiers in Medicine, Scientific Reports, Journal of Orthopaedic Surgery and Research 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.