Baocai Wang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Hepatology top 10%
Papers in
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- Circular RNAs in diseases 5
- Chromatin Remodeling and Cancer 4
- Wnt/β-catenin signaling in development and cancer 2
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- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 4
- Co-authors
- Zhenwei Ge (7 shared papers)Junlong Hu (6 shared papers)Xiliang Zhu (5 shared papers)Junjie Sun (5 shared papers)Daniel Hartmann (11 shared papers)Yun Wang (1 shared paper)Xiaohua Sun (1 shared paper)Helmut Friess (7 shared papers)
In The Last Decade
Baocai Wang
31 papers receiving 878 citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Cancer Research 350
- Hepatology 67
- Molecular Biology 526
- Pulmonary and Respiratory Medicine 160
- Complementary and alternative medicine 39
Countries citing papers authored by Baocai Wang
This map shows the geographic impact of Baocai 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 Baocai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baocai Wang more than expected).
Fields of papers citing papers by Baocai Wang
This network shows the impact of papers produced by Baocai 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 Baocai Wang. The network helps show where Baocai Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Baocai 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Human umbilical cord blood–derived MSCs exosome attenuate myocardial injury by inhibiting ferroptosis in acute myocardial infarction mice Hit paper breakdown → | 2020 | 267 |
| 2 | 2013 | 92 | |
| 3 | 2019 | 60 | |
| 4 | 2019 | 57 | |
| 5 | 2020 | 54 | |
| 6 | 2017 | 46 | |
| 7 | 2019 | 33 | |
| 8 | 2019 | 30 | |
| 9 | 2020 | 29 | |
| 10 | 2017 | 29 | |
| 11 | 2019 | 25 | |
| 12 | 2019 | 24 | |
| 13 | 2015 | 23 | |
| 14 | 2015 | 23 | |
| 15 | 2020 | 19 | |
| 16 | 2017 | 18 | |
| 17 | 2022 | 18 | |
| 18 | 2018 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2020 | 6 |
About Baocai Wang
Baocai Wang is a scholar working on Molecular Biology, Cancer Research, Electrical and Electronic Engineering, Hepatology and Surgery, having authored 35 papers that have together received 891 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Liver physiology and pathology (5 papers), Circular RNAs in diseases (5 papers), Chromatin Remodeling and Cancer (4 papers), Cancer-related molecular mechanisms research (4 papers), Cancer Mechanisms and Therapy (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Guidance and Control Systems (2 papers). The work is most often cited by research in Cancer Research (350 citations), Hepatology (67 citations), Molecular Biology (526 citations), Pulmonary and Respiratory Medicine (160 citations) and Complementary and alternative medicine (39 citations). Baocai Wang has collaborated with scholars based in China, Germany and Japan. Frequent co-authors include Zhenwei Ge, Junlong Hu, Xiliang Zhu, Junjie Sun, Daniel Hartmann, Yun Wang, Xiaohua Sun, Helmut Friess, Zhaoyun Cheng and Norbert Hüser. Their work appears in journals such as PLoS ONE, Scientific Reports, The FASEB Journal, Ceramics International and International Journal of Cardiology.
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.