Pingping Xiang
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
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- Mesenchymal stem cell research
Papers in
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- Extracellular vesicles in disease 4
- Muscle Physiology and Disorders 1
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- Thyroid Cancer Diagnosis and Treatment 5
- Co-authors
- Yinuo Lin (5 shared papers)Hong Yu (5 shared papers)Jian Shen (4 shared papers)Yun Zhao (3 shared papers)Jinyun Zhu (3 shared papers)Jinghai Chen (3 shared papers)Xinyang Hu (2 shared papers)Wei Zhu (2 shared papers)
- Journals
- International Journal of Nanomedicine (2 papers)The Journal of Clinical Endocrinology & Metabolism (2 papers)Journal of Ethnopharmacology (2 papers)Thyroid (2 papers)Journal of Cellular Physiology (2 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Pingping Xiang
21 papers receiving 476 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 169
- Genetics 50
- Molecular Biology 323
- Endocrinology, Diabetes and Metabolism 39
- Cardiology and Cardiovascular Medicine 49
Countries citing papers authored by Pingping Xiang
This map shows the geographic impact of Pingping Xiang'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 Pingping Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingping Xiang more than expected).
Fields of papers citing papers by Pingping Xiang
This network shows the impact of papers produced by Pingping Xiang. 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 Pingping Xiang. The network helps show where Pingping Xiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingping Xiang, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 235 | |
| 2 | 2020 | 74 | |
| 3 | 2020 | 26 | |
| 4 | 2021 | 25 | |
| 5 | 2019 | 18 | |
| 6 | 2020 | 18 | |
| 7 | 2021 | 16 | |
| 8 | 2021 | 12 | |
| 9 | 2024 | 7 | |
| 10 | 2019 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2024 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2019 | 2 | |
| 20 | 2023 | 1 |
About Pingping Xiang
Pingping Xiang is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research, Surgery and Nephrology, having authored 22 papers that have together received 477 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (5 papers), Extracellular vesicles in disease (4 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Ferroptosis and cancer prognosis (1 paper), Muscle Physiology and Disorders (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Cancer Research (169 citations), Genetics (50 citations), Molecular Biology (323 citations), Endocrinology, Diabetes and Metabolism (39 citations) and Cardiology and Cardiovascular Medicine (49 citations). Pingping Xiang has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Yinuo Lin, Hong Yu, Jian Shen, Yun Zhao, Jinyun Zhu, Jinghai Chen, Xinyang Hu, Wei Zhu, Kai Lü and Qunchao Ma. Their work appears in journals such as International Journal of Nanomedicine, The Journal of Clinical Endocrinology & Metabolism, Journal of Ethnopharmacology, Thyroid and Journal of Cellular Physiology.
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.