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
-
- Advancements in Transdermal Drug Delivery 2
- Co-authors
- Jeong‐Heon Lee (1 shared paper)Lihong He (1 shared paper)Jann Nagina Sarkaria (1 shared paper)Zhiguo Zhang (1 shared paper)Minjie Zhang (1 shared paper)Zeng Hu (1 shared paper)Caterina Giannini (1 shared paper)Gaspar J. Kitange (1 shared paper)
- Journals
- Frontiers in Oncology (2 papers)Cell Death and Disease (2 papers)Asian Journal of Pharmaceutical Sciences (1 paper)International Journal of Biological Macromolecules (1 paper)Integrative Cancer Therapies (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Heping Wang
18 papers receiving 473 citations
Peers
Comparison fields: 5 of 80
- Genetics 128
- Cancer Research 111
- Pharmaceutical Science 44
- Molecular Medicine 35
- Biomaterials 44
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 | 209 | |
| 2 | 2019 | 56 | |
| 3 | 2021 | 28 | |
| 4 | 2017 | 27 | |
| 5 | 2014 | 26 | |
| 6 | 2021 | 22 | |
| 7 | 2021 | 22 | |
| 8 | 2023 | 15 | |
| 9 | 2021 | 13 | |
| 10 | 2014 | 11 | |
| 11 | 2020 | 11 | |
| 12 | 2019 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2018 | 7 | |
| 15 | 2003 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2007 | 3 | |
| 18 | 2025 | 2 |
About Heping Wang
Heping Wang is a scholar working on Genetics, Pharmaceutical Science, Cancer Research, Structural Biology and Food Science, having authored 18 papers that have together received 480 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (5 papers), Advancements in Transdermal Drug Delivery (2 papers), Essential Oils and Antimicrobial Activity (2 papers), MicroRNA in disease regulation (2 papers), CRISPR and Genetic Engineering (1 paper), Glycosylation and Glycoproteins Research (1 paper), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Personality Traits and Psychology (1 paper). The work is most often cited by research in Genetics (128 citations), Cancer Research (111 citations), Pharmaceutical Science (44 citations), Molecular Medicine (35 citations) and Biomaterials (44 citations). Heping Wang has collaborated with scholars based in China and United States. Frequent co-authors include Jeong‐Heon Lee, Lihong He, Jann Nagina Sarkaria, Zhiguo Zhang, Minjie Zhang, Zeng Hu, Caterina Giannini, Gaspar J. Kitange, Xiaoyue Chen and Haiyun Gan. Their work appears in journals such as Frontiers in Oncology, Cell Death and Disease, Asian Journal of Pharmaceutical Sciences, International Journal of Biological Macromolecules and Integrative Cancer Therapies.
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.