Congrong Wang
Impact in
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- Diabetes Treatment and Management
- Molecular Biology top 5%
- Metabolomics and Mass Spectrometry Studies
- Metabolism, Diabetes, and Cancer
Papers in ⓘ
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- Diabetes, Cardiovascular Risks, and Lipoproteins 12
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- Metabolism, Diabetes, and Cancer 16
- Metabolomics and Mass Spectrometry Studies 14
- Co-authors
- Weiping Jia (78 shared papers)Yuqian Bao (35 shared papers)Cheng Hu (43 shared papers)Kun‐san Xiang (33 shared papers)Yong Zhang (3 shared papers)Yinan Zhang (30 shared papers)Jingyi Lu (20 shared papers)Aihua Zhao (8 shared papers)
- Journals
- Diabetic Medicine (9 papers)PLoS ONE (6 papers)Journal of Proteome Research (5 papers)Diabetes Research and Clinical Practice (5 papers)Scientific Reports (4 papers)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Congrong Wang
210 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 159
- Endocrinology, Diabetes and Metabolism 664
- Molecular Biology 1.8k
- Genetics 635
- Physiology 511
- Biochemistry 109
Countries citing papers authored by Congrong Wang
This map shows the geographic impact of Congrong 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 Congrong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congrong Wang more than expected).
Fields of papers citing papers by Congrong Wang
This network shows the impact of papers produced by Congrong 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 Congrong Wang. The network helps show where Congrong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Congrong 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 224 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 144 | |
| 2 | 2004 | 140 | |
| 3 | 2007 | 119 | |
| 4 | 2013 | 118 | |
| 5 | 2007 | 118 | |
| 6 | 2015 | 113 | |
| 7 | 2013 | 103 | |
| 8 | 2009 | 90 | |
| 9 | 2011 | 87 | |
| 10 | 2001 | 86 | |
| 11 | 2010 | 76 | |
| 12 | 2019 | 68 | |
| 13 | 2013 | 61 | |
| 14 | 2010 | 60 | |
| 15 | 2003 | 56 | |
| 16 | 2017 | 53 | |
| 17 | 2008 | 52 | |
| 18 | 2015 | 52 | |
| 19 | 2014 | 52 | |
| 20 | 2009 | 50 |
About Congrong Wang
Congrong Wang is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Clinical Biochemistry and Health, Toxicology and Mutagenesis, having authored 224 papers that have together received 4.1k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (16 papers), Pancreatic function and diabetes (15 papers), Metabolomics and Mass Spectrometry Studies (14 papers), Genetic Associations and Epidemiology (12 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers), Diabetes and associated disorders (11 papers), Liver Disease Diagnosis and Treatment (10 papers) and Birth, Development, and Health (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (664 citations), Molecular Biology (1.8k citations), Genetics (635 citations), Physiology (511 citations) and Biochemistry (109 citations). Congrong Wang has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Weiping Jia, Yuqian Bao, Cheng Hu, Kun‐san Xiang, Yong Zhang, Yinan Zhang, Jingyi Lu, Aihua Zhao, Wen Qin and Junxi Lu. Their work appears in journals such as Diabetic Medicine, PLoS ONE, Journal of Proteome Research, Diabetes Research and Clinical Practice and Scientific 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.