Di Wang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Extracellular vesicles in disease
- Circular RNAs in diseases
Papers in
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- Cardiac Fibrosis and Remodeling 8
-
- Occupational and environmental lung diseases 8
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 6
- Aortic Disease and Treatment Approaches 5
- Co-authors
- Zhiyan Wang (7 shared papers)Jumo Zhu (4 shared papers)Yi Wang (5 shared papers)Bei Liu (1 shared paper)Huaner Ni (1 shared paper)Yi Wang (1 shared paper)Lili Zhang (1 shared paper)Wu Yao (12 shared papers)
- Journals
- RSC Advances (3 papers)Theranostics (3 papers)Small (2 papers)Life Sciences (2 papers)Stem Cell Reviews and Reports (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Di Wang
123 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 148
- Cancer Research 595
- Molecular Biology 1.5k
- Energy Engineering and Power Technology 64
- Immunology 360
- Pulmonary and Respiratory Medicine 422
Countries citing papers authored by Di Wang
This map shows the geographic impact of Di 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 Di Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Wang more than expected).
Fields of papers citing papers by Di Wang
This network shows the impact of papers produced by Di 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 Di Wang. The network helps show where Di Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Di 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 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 353 | |
| 2 | 2017 | 211 | |
| 3 | 2020 | 194 | |
| 4 | 2020 | 137 | |
| 5 | 2015 | 130 | |
| 6 | 2023 | 102 | |
| 7 | 2019 | 94 | |
| 8 | 2019 | 92 | |
| 9 | 2018 | 90 | |
| 10 | 2017 | 87 | |
| 11 | 2017 | 84 | |
| 12 | 2020 | 83 | |
| 13 | 2017 | 81 | |
| 14 | 2024 | 78 | |
| 15 | 2020 | 66 | |
| 16 | 2021 | 63 | |
| 17 | 2016 | 58 | |
| 18 | 2022 | 51 | |
| 19 | 2007 | 50 | |
| 20 | 2020 | 49 |
About Di Wang
Di Wang is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research and Epidemiology, having authored 134 papers that have together received 3.4k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (14 papers), MicroRNA in disease regulation (11 papers), Cardiac Fibrosis and Remodeling (8 papers), Occupational and environmental lung diseases (8 papers), Circular RNAs in diseases (7 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (6 papers), Autophagy in Disease and Therapy (5 papers) and Aortic Disease and Treatment Approaches (5 papers). The work is most often cited by research in Cancer Research (595 citations), Molecular Biology (1.5k citations), Energy Engineering and Power Technology (64 citations), Immunology (360 citations) and Pulmonary and Respiratory Medicine (422 citations). Di Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhiyan Wang, Jumo Zhu, Yi Wang, Bei Liu, Huaner Ni, Yi Wang, Lili Zhang, Wu Yao, Changfu Hao and Lili Zhang. Their work appears in journals such as RSC Advances, Theranostics, Small, Life Sciences and Stem Cell Reviews and Reports.
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.