Peipei Shi
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Bone Metabolism and Diseases 3
- Melanoma and MAPK Pathways 2
- Co-authors
- Jonathan W. Goldman (2 shared papers)Jianjiang Zhang (10 shared papers)Luis Paz‐Ares (1 shared paper)Karla Hurt (1 shared paper)Martin Reck (1 shared paper)Andrew Koustenis (1 shared paper)Jian Z. Wang (2 shared papers)Scott P. Myrand (4 shared papers)
- Journals
- Pediatric Nephrology (2 papers)The FASEB Journal (2 papers)Investigational New Drugs (2 papers)BMC Musculoskeletal Disorders (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Peipei Shi
31 papers receiving 392 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Critical Care and Intensive Care Medicine 21
- Cancer Research 58
- Neurology 58
- Pulmonary and Respiratory Medicine 112
- Nephrology 24
Countries citing papers authored by Peipei Shi
This map shows the geographic impact of Peipei Shi'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 Peipei Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peipei Shi more than expected).
Fields of papers citing papers by Peipei Shi
This network shows the impact of papers produced by Peipei Shi. 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 Peipei Shi. The network helps show where Peipei Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Peipei Shi, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prevalence and risk factor for long COVID in children and adolescents: A meta-analysis and systematic review Hit paper breakdown → | 2023 | 72 |
| 2 | 2015 | 44 | |
| 3 | 2022 | 33 | |
| 4 | 2007 | 23 | |
| 5 | 2011 | 19 | |
| 6 | 2020 | 19 | |
| 7 | 2013 | 18 | |
| 8 | 2021 | 17 | |
| 9 | 2020 | 14 | |
| 10 | 2014 | 14 | |
| 11 | 2013 | 13 | |
| 12 | 2017 | 13 | |
| 13 | 2012 | 11 | |
| 14 | 2008 | 11 | |
| 15 | 2021 | 11 | |
| 16 | 2018 | 11 | |
| 17 | 2015 | 9 | |
| 18 | 2022 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2024 | 5 |
About Peipei Shi
Peipei Shi is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Nephrology, Oncology and Pathology and Forensic Medicine, having authored 36 papers that have together received 396 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (9 papers), Bone health and osteoporosis research (4 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Bone Metabolism and Diseases (3 papers), Chronic Kidney Disease and Diabetes (3 papers), Melanoma and MAPK Pathways (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (21 citations), Cancer Research (58 citations), Neurology (58 citations), Pulmonary and Respiratory Medicine (112 citations) and Nephrology (24 citations). Peipei Shi has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jonathan W. Goldman, Jianjiang Zhang, Luis Paz‐Ares, Karla Hurt, Martin Reck, Andrew Koustenis, Jian Z. Wang, Scott P. Myrand, Yanping Bao and Nan Gao. Their work appears in journals such as Pediatric Nephrology, The FASEB Journal, Investigational New Drugs, BMC Musculoskeletal Disorders and Journal of Clinical 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.