Heping Wang
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Acute Kidney Injury Research
Papers in
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- RNA modifications and cancer 2
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- Data-Driven Disease Surveillance 1
- Co-authors
- Shuxin Fan (1 shared paper)Zhiwei Xu (1 shared paper)Hong Zheng (1 shared paper)Shiliang Jiang (1 shared paper)Jiying Ling (1 shared paper)Chaowu Yan (1 shared paper)Weichun Wu (1 shared paper)Shihua Zhao (1 shared paper)
- Journals
- Hypertension (1 paper)Advanced Functional Materials (1 paper)International Journal of Obesity (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Ethnopharmacology (1 paper)
- Partner nations
- ChinaUnited StatesRomania
In The Last Decade
Heping Wang
17 papers receiving 296 citations
Peers
Comparison fields: 5 of 57
- Cancer Research 48
- Nephrology 20
- Radiology, Nuclear Medicine and Imaging 60
- Ophthalmology 22
- Epidemiology 58
Countries citing papers authored by Heping Wang
This map shows the geographic impact of Heping 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 Heping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heping Wang more than expected).
Fields of papers citing papers by Heping Wang
This network shows the impact of papers produced by Heping 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 Heping Wang. The network helps show where Heping Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Heping 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
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 66 | |
| 2 | 2022 | 58 | |
| 3 | 2017 | 34 | |
| 4 | 2017 | 26 | |
| 5 | 2009 | 24 | |
| 6 | 2005 | 21 | |
| 7 | 2024 | 20 | |
| 8 | 2018 | 15 | |
| 9 | 2022 | 13 | |
| 10 | Prediction of subclinical renal allograft rejection by vascular endothelial growth factor in serum and urine. | 2008 | 8 |
| 11 | 2017 | 7 | |
| 12 | Transneuronal spread of the pseudorabies virus after injection into the central nucleus of the amygdala in the rat. | 1994 | 5 |
| 13 | 2025 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | A bone metastases model of anaplastic thyroid carcinoma in athymic nude mice. | 2015 | 1 |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Heping Wang
Heping Wang is a scholar working on Molecular Biology, Epidemiology, Biomaterials, Rheumatology and Cancer Research, having authored 19 papers that have together received 305 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (2 papers), RNA modifications and cancer (2 papers), Folate and B Vitamins Research (1 paper), Stress Responses and Cortisol (1 paper), Ferroptosis and cancer prognosis (1 paper), Nanoplatforms for cancer theranostics (1 paper) and Data-Driven Disease Surveillance (1 paper). The work is most often cited by research in Cancer Research (48 citations), Nephrology (20 citations), Radiology, Nuclear Medicine and Imaging (60 citations), Ophthalmology (22 citations) and Epidemiology (58 citations). Heping Wang has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Shuxin Fan, Zhiwei Xu, Hong Zheng, Shiliang Jiang, Jiying Ling, Chaowu Yan, Weichun Wu, Shihua Zhao, C Wang and Jinjing Liu. Their work appears in journals such as Hypertension, Advanced Functional Materials, International Journal of Obesity, Proceedings of the National Academy of Sciences and Journal of Ethnopharmacology.
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.