Heping Wang
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Genetics 6
- Glioma Diagnosis and Treatment 5
-
- MicroRNA in disease regulation 2
- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Haiyun Gan (1 shared paper)Xiaoyue Chen (1 shared paper)Lihong He (1 shared paper)Jann N. Sarkaria (1 shared paper)Jeong‐Heon Lee (1 shared paper)Fang Dong (1 shared paper)Zeng Hu (1 shared paper)Gaspar J. Kitange (1 shared paper)
- Journals
- Cell Death and Disease (2 papers)Frontiers in Oncology (2 papers)Aging (1 paper)International Journal of Biological Macromolecules (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Heping Wang
19 papers receiving 485 citations
Peers
Comparison fields: 5 of 85
- Genetics 135
- Cancer Research 144
- Pharmaceutical Science 41
- Molecular Medicine 33
- Molecular Biology 246
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 | 2018 | 198 | |
| 2 | 2022 | 55 | |
| 3 | 2019 | 49 | |
| 4 | 2017 | 27 | |
| 5 | 2021 | 26 | |
| 6 | 2014 | 23 | |
| 7 | 2021 | 21 | |
| 8 | 2021 | 17 | |
| 9 | 2021 | 12 | |
| 10 | 2014 | 11 | |
| 11 | 2020 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2019 | 8 | |
| 15 | 2018 | 6 | |
| 16 | 2003 | 5 | |
| 17 | 2023 | 3 | |
| 18 | 2007 | 3 | |
| 19 | 2025 | 2 |
About Heping Wang
Heping Wang is a scholar working on Genetics, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Pharmaceutical Science, having authored 19 papers that have together received 493 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), MicroRNA in disease regulation (2 papers), Cancer Research and Treatments (2 papers), Ferroptosis and cancer prognosis (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Advancements in Transdermal Drug Delivery (2 papers), Essential Oils and Antimicrobial Activity (2 papers) and Drug Solubulity and Delivery Systems (1 paper). The work is most often cited by research in Genetics (135 citations), Cancer Research (144 citations), Pharmaceutical Science (41 citations), Molecular Medicine (33 citations) and Molecular Biology (246 citations). Heping Wang has collaborated with scholars based in China and United States. Frequent co-authors include Haiyun Gan, Xiaoyue Chen, Lihong He, Jann N. Sarkaria, Jeong‐Heon Lee, Fang Dong, Zeng Hu, Gaspar J. Kitange, Ian F. Parney and Caterina Giannini. Their work appears in journals such as Cell Death and Disease, Frontiers in Oncology, Aging, International Journal of Biological Macromolecules and Nature Communications.
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.