Baoying Chen
Impact in
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- Lipid metabolism and disorders
- Cardiovascular Disease and Adiposity
- Epidemiology top 5%
- Adipokines, Inflammation, and Metabolic Diseases
- Liver Disease Diagnosis and Treatment
Papers in
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- RNA modifications and cancer 3
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- Heart Failure Treatment and Management 3
- Co-authors
- Aimin Xu (3 shared papers)Ruby L.C. Hoo (3 shared papers)Karen S.L. Lam (3 shared papers)Michael C. Lam (3 shared papers)Jialiang Zhang (3 shared papers)Yu Wang (3 shared papers)Garth J. S. Cooper (1 shared paper)Kathryn Choon Beng Tan (1 shared paper)
- Journals
- Peptides (2 papers)World Journal of Gastroenterology (2 papers)European Journal of Radiology (2 papers)Scientific Reports (2 papers)Neuroreport (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Baoying Chen
46 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Cardiology and Cardiovascular Medicine 324
- Epidemiology 444
- Physiology 340
- Endocrine and Autonomic Systems 87
- Cancer Research 172
Countries citing papers authored by Baoying Chen
This map shows the geographic impact of Baoying Chen'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 Baoying Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoying Chen more than expected).
Fields of papers citing papers by Baoying Chen
This network shows the impact of papers produced by Baoying Chen. 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 Baoying Chen. The network helps show where Baoying Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Baoying Chen, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 361 | |
| 2 | 2005 | 266 | |
| 3 | 2006 | 182 | |
| 4 | 2014 | 70 | |
| 5 | 2017 | 52 | |
| 6 | 2013 | 45 | |
| 7 | 2014 | 40 | |
| 8 | 2009 | 33 | |
| 9 | 2019 | 29 | |
| 10 | 2013 | 24 | |
| 11 | 2016 | 21 | |
| 12 | 2011 | 20 | |
| 13 | 2012 | 20 | |
| 14 | 2011 | 17 | |
| 15 | 2018 | 14 | |
| 16 | 2023 | 11 | |
| 17 | 2022 | 11 | |
| 18 | 2014 | 10 | |
| 19 | 2011 | 9 | |
| 20 | 2013 | 9 |
About Baoying Chen
Baoying Chen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (4 papers), Adipose Tissue and Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Heart Failure Treatment and Management (3 papers), RNA modifications and cancer (3 papers), Glioma Diagnosis and Treatment (2 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (324 citations), Epidemiology (444 citations), Physiology (340 citations), Endocrine and Autonomic Systems (87 citations) and Cancer Research (172 citations). Baoying Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Aimin Xu, Ruby L.C. Hoo, Karen S.L. Lam, Michael C. Lam, Jialiang Zhang, Yu Wang, Garth J. S. Cooper, Kathryn Choon Beng Tan, Cynthia A. Tse and Annette W.K. Tso. Their work appears in journals such as Peptides, World Journal of Gastroenterology, European Journal of Radiology, Scientific Reports and Neuroreport.
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.