Peipei Wang
Impact in
- Nephrology top 10%
-
- Cardiac Ischemia and Reperfusion
- Chemotherapy-induced organ toxicity mitigation
Papers in
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- Radiomics and Machine Learning in Medical Imaging 5
- Retinal Imaging and Analysis 2
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- Chemotherapy-induced organ toxicity mitigation 3
- Lymphoma Diagnosis and Treatment 3
- Co-authors
- Michael V. Cohen (1 shared paper)Dipak K. Das (1 shared paper)Gerald A. Cordis (1 shared paper)James M. Downey (1 shared paper)Yongge Liu (1 shared paper)Christof Weinbrenner (1 shared paper)Guang S. Liu (1 shared paper)Zhanzheng Zhao (6 shared papers)
- Journals
- Frontiers in Oncology (4 papers)Journal of Magnetic Resonance Imaging (2 papers)Advanced Science (2 papers)Renal Failure (2 papers)Frontiers in Neuroscience (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Peipei Wang
41 papers receiving 406 citations
Peers
Comparison fields: 5 of 89
- Nephrology 41
- Pathology and Forensic Medicine 89
- Developmental Neuroscience 17
- Genetics 33
- Emergency Medicine 26
Countries citing papers authored by Peipei Wang
This map shows the geographic impact of Peipei Wang'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 Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peipei Wang more than expected).
Fields of papers citing papers by Peipei Wang
This network shows the impact of papers produced by Peipei Wang. 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 Wang. The network helps show where Peipei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Peipei Wang, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 82 | |
| 2 | 2020 | 38 | |
| 3 | 2022 | 26 | |
| 4 | 2021 | 24 | |
| 5 | 2022 | 22 | |
| 6 | 2021 | 21 | |
| 7 | 2019 | 18 | |
| 8 | 2022 | 16 | |
| 9 | 2021 | 14 | |
| 10 | 2022 | 12 | |
| 11 | 2019 | 12 | |
| 12 | 2019 | 12 | |
| 13 | 2021 | 10 | |
| 14 | 2021 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2020 | 5 |
About Peipei Wang
Peipei Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Molecular Biology, Genetics and Nephrology, having authored 47 papers that have together received 409 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Gut microbiota and health (4 papers), Chemotherapy-induced organ toxicity mitigation (3 papers), Dialysis and Renal Disease Management (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Retinal Imaging and Analysis (2 papers) and Colorectal Cancer Surgical Treatments (2 papers). The work is most often cited by research in Nephrology (41 citations), Pathology and Forensic Medicine (89 citations), Developmental Neuroscience (17 citations), Genetics (33 citations) and Emergency Medicine (26 citations). Peipei Wang has collaborated with scholars based in China and United States. Frequent co-authors include Michael V. Cohen, Dipak K. Das, Gerald A. Cordis, James M. Downey, Yongge Liu, Christof Weinbrenner, Guang S. Liu, Zhanzheng Zhao, Jin Shang and Bin Wu. Their work appears in journals such as Frontiers in Oncology, Journal of Magnetic Resonance Imaging, Advanced Science, Renal Failure and Frontiers in Neuroscience.
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.