Baoli Wang
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Protein Interaction Studies and Fluorescence Analysis
- Circular RNAs in diseases
- Bone Metabolism and Diseases
Papers in ⓘ
-
- Bone Metabolism and Diseases 19
- Protein Interaction Studies and Fluorescence Analysis 12
- Wnt/β-catenin signaling in development and cancer 10
- Cancer-related gene regulation 9
- TGF-β signaling in diseases 8
- Oncology 27
- Drug Transport and Resistance Mechanisms 9
- Co-authors
- Jie‐Hua Shi (14 shared papers)Song‐Bo Kou (13 shared papers)Zhen‐Yi Lin (13 shared papers)Di Chen (12 shared papers)Hongting Jin (8 shared papers)Kaili Zhou (7 shared papers)Yan‐Yue Lou (7 shared papers)Ying-Xin Liu (4 shared papers)
- Journals
- The FASEB Journal (6 papers)Stem Cells (5 papers)Journal of Biomolecular Structure and Dynamics (4 papers)Scientific Reports (3 papers)Molecular Plant Pathology (3 papers)
- Partner nations
- ChinaUnited StatesHungary
In The Last Decade
Baoli Wang
133 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 142
- Cancer Research 810
- Molecular Biology 2.1k
- Rheumatology 413
- Complementary and Manual Therapy 59
- Oncology 566
Countries citing papers authored by Baoli Wang
This map shows the geographic impact of Baoli 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 Baoli Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoli Wang more than expected).
Fields of papers citing papers by Baoli Wang
This network shows the impact of papers produced by Baoli 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 Baoli Wang. The network helps show where Baoli Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Baoli 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 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 296 | |
| 2 | 2018 | 177 | |
| 3 | 2020 | 156 | |
| 4 | 2013 | 153 | |
| 5 | 2009 | 91 | |
| 6 | 2019 | 90 | |
| 7 | 2012 | 85 | |
| 8 | 2017 | 78 | |
| 9 | 2014 | 75 | |
| 10 | 2011 | 72 | |
| 11 | 2017 | 72 | |
| 12 | 2009 | 72 | |
| 13 | 2012 | 69 | |
| 14 | 2015 | 66 | |
| 15 | 2020 | 64 | |
| 16 | 2019 | 60 | |
| 17 | 2017 | 59 | |
| 18 | 2015 | 54 | |
| 19 | 2019 | 53 | |
| 20 | 2018 | 51 |
About Baoli Wang
Baoli Wang is a scholar working on Molecular Biology, Oncology, Cancer Research, Physiology and Immunology, having authored 137 papers that have together received 3.5k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (19 papers), Cancer-related molecular mechanisms research (16 papers), Protein Interaction Studies and Fluorescence Analysis (12 papers), MicroRNA in disease regulation (11 papers), Wnt/β-catenin signaling in development and cancer (10 papers), Drug Transport and Resistance Mechanisms (9 papers), Cancer-related gene regulation (9 papers) and TGF-β signaling in diseases (8 papers). The work is most often cited by research in Cancer Research (810 citations), Molecular Biology (2.1k citations), Rheumatology (413 citations), Complementary and Manual Therapy (59 citations) and Oncology (566 citations). Baoli Wang has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Jie‐Hua Shi, Song‐Bo Kou, Zhen‐Yi Lin, Di Chen, Hongting Jin, Kaili Zhou, Yan‐Yue Lou, Ying-Xin Liu, Dong‐Qi Pan and Hairui Yuan. Their work appears in journals such as The FASEB Journal, Stem Cells, Journal of Biomolecular Structure and Dynamics, Scientific Reports and Molecular Plant Pathology.
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.