Baoping Chen
Impact in
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
-
- Advanced Glycation End Products research
Papers in
-
- Renal and related cancers 3
- FOXO transcription factor regulation 2
-
- Chronic Kidney Disease and Diabetes 3
- Co-authors
- Jun Shi (6 shared papers)Yali Ma (4 shared papers)Shiying Wang (4 shared papers)Suxia Yang (4 shared papers)Jun Shi (5 shared papers)Xinxin Zhao (2 shared papers)Fang Chen (1 shared paper)Zhiqiang Sun (1 shared paper)
In The Last Decade
Baoping Chen
18 papers receiving 472 citations
Peers
Comparison fields: 5 of 81
- Nephrology 73
- Clinical Biochemistry 29
- Cancer Research 58
- Geriatrics and Gerontology 12
- Molecular Biology 236
Countries citing papers authored by Baoping Chen
This map shows the geographic impact of Baoping 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 Baoping Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoping Chen more than expected).
Fields of papers citing papers by Baoping Chen
This network shows the impact of papers produced by Baoping 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 Baoping Chen. The network helps show where Baoping Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Baoping 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
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 86 | |
| 2 | 2017 | 86 | |
| 3 | 2018 | 77 | |
| 4 | 2017 | 45 | |
| 5 | 2015 | 35 | |
| 6 | 2017 | 26 | |
| 7 | 2017 | 25 | |
| 8 | 2018 | 22 | |
| 9 | 2018 | 21 | |
| 10 | 2018 | 19 | |
| 11 | 2021 | 9 | |
| 12 | Effective adoptive transfer of haploidentical tumor-specific T cells in B16-melanoma bearing mice. | 2012 | 6 |
| 13 | 2019 | 5 | |
| 14 | 2015 | 4 | |
| 15 | 2016 | 4 | |
| 16 | 2005 | 3 | |
| 17 | Application of Grey Correlative Analysis in the Analysis of Primary Factor Influencing Products Cost | 2012 | 1 |
| 18 | 2014 | 1 | |
| 19 | 2007 | 1 |
About Baoping Chen
Baoping Chen is a scholar working on Molecular Biology, Nephrology, Immunology, Clinical Biochemistry and Cancer Research, having authored 19 papers that have together received 476 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (3 papers), Renal and related cancers (3 papers), FOXO transcription factor regulation (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Advanced Glycation End Products research (2 papers), MicroRNA in disease regulation (2 papers), Nitric Oxide and Endothelin Effects (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Nephrology (73 citations), Clinical Biochemistry (29 citations), Cancer Research (58 citations), Geriatrics and Gerontology (12 citations) and Molecular Biology (236 citations). Baoping Chen has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Jun Shi, Yali Ma, Shiying Wang, Suxia Yang, Jun Shi, Xinxin Zhao, Fang Chen, Zhiqiang Sun, Zhiqiang Sun and Shiying Wang. Their work appears in journals such as European Journal of Pharmacology, Chemico-Biological Interactions, Biomedicine & Pharmacotherapy, Saudi Pharmaceutical Journal and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.
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.