Bing Wen
Impact in
- Clinical Biochemistry top 1%
- Metabolism and Genetic Disorders
Papers in
-
- Metabolism and Genetic Disorders 8
-
- Mitochondrial Function and Pathology 6
- Biochemical and Molecular Research 3
- Peroxisome Proliferator-Activated Receptors 3
- Co-authors
- Chuanzhu Yan (15 shared papers)Chongjiao Li (12 shared papers)Pengfei Lin (8 shared papers)Yueli Tian (11 shared papers)Yong He (8 shared papers)Yuying Zhao (8 shared papers)Valentina Emmanuele (1 shared paper)Luis Carlos López (1 shared paper)
- Journals
- Neurological Sciences (4 papers)American Journal of Roentgenology (2 papers)European Journal of Nuclear Medicine and Molecular Imaging (2 papers)BMC Oral Health (2 papers)Neuromuscular Disorders (1 paper)
- Partner nations
- ChinaUnited StatesPortugal
In The Last Decade
Bing Wen
52 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 89
- Clinical Biochemistry 275
- Complementary and Manual Therapy 34
- Biochemistry 105
- Cancer Research 98
- Molecular Biology 455
Countries citing papers authored by Bing Wen
This map shows the geographic impact of Bing Wen'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 Bing Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Wen more than expected).
Fields of papers citing papers by Bing Wen
This network shows the impact of papers produced by Bing Wen. 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 Bing Wen. The network helps show where Bing Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Wen, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 183 | |
| 2 | 2009 | 92 | |
| 3 | 2013 | 73 | |
| 4 | 2017 | 57 | |
| 5 | 2017 | 47 | |
| 6 | 2019 | 42 | |
| 7 | 2022 | 39 | |
| 8 | 2014 | 38 | |
| 9 | 2023 | 34 | |
| 10 | 2023 | 29 | |
| 11 | 2018 | 28 | |
| 12 | 2013 | 28 | |
| 13 | 2013 | 28 | |
| 14 | 2015 | 24 | |
| 15 | 2019 | 21 | |
| 16 | 2011 | 20 | |
| 17 | 2021 | 20 | |
| 18 | 2024 | 20 | |
| 19 | 2012 | 20 | |
| 20 | 2019 | 18 |
About Bing Wen
Bing Wen is a scholar working on Clinical Biochemistry, Molecular Biology, Rheumatology, Cancer Research and Oncology, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (8 papers), Mitochondrial Function and Pathology (6 papers), Peptidase Inhibition and Analysis (5 papers), Biochemical and Molecular Research (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Cardiac Structural Anomalies and Repair (3 papers), Glycogen Storage Diseases and Myoclonus (3 papers) and Protease and Inhibitor Mechanisms (3 papers). The work is most often cited by research in Clinical Biochemistry (275 citations), Complementary and Manual Therapy (34 citations), Biochemistry (105 citations), Cancer Research (98 citations) and Molecular Biology (455 citations). Bing Wen has collaborated with scholars based in China, United States and Portugal. Frequent co-authors include Chuanzhu Yan, Chongjiao Li, Pengfei Lin, Yueli Tian, Yong He, Yuying Zhao, Valentina Emmanuele, Luis Carlos López, Martha Solomon and Saba Tadesse. Their work appears in journals such as Neurological Sciences, American Journal of Roentgenology, European Journal of Nuclear Medicine and Molecular Imaging, BMC Oral Health and Neuromuscular Disorders.
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.