Ting Chen
Impact in
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Extracellular vesicles in disease
- Protein Structure and Dynamics
- Mitochondrial Function and Pathology
- Machine Learning in Bioinformatics
- Microbial Metabolic Engineering and Bioproduction
- Reproductive Medicine top 10%
Papers in
-
- Mitochondrial Function and Pathology 5
- Genetics 21
- Diabetes and associated disorders 5
- Co-authors
- Minghua Deng (2 shared papers)Shipra Mehta (2 shared papers)Fengzhu Sun (2 shared papers)Hongjie Zhou (1 shared paper)Bin Gao (1 shared paper)Chunxiu Peng (1 shared paper)Jiashun Gong (1 shared paper)Linqi Chen (18 shared papers)
- Journals
- Frontiers in Endocrinology (4 papers)Polymer Composites (3 papers)Nutrients (2 papers)Diabetes Metabolic Syndrome and Obesity (2 papers)Medicine (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ting Chen
128 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 146
- Molecular Biology 894
- Reproductive Medicine 77
- Endocrinology, Diabetes and Metabolism 145
- Cancer Research 131
- Clinical Biochemistry 54
Countries citing papers authored by Ting Chen
This map shows the geographic impact of Ting 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 Ting Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Chen more than expected).
Fields of papers citing papers by Ting Chen
This network shows the impact of papers produced by Ting 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 Ting Chen. The network helps show where Ting Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ting 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 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 319 | |
| 2 | 2010 | 109 | |
| 3 | 2019 | 78 | |
| 4 | 2016 | 62 | |
| 5 | 2004 | 46 | |
| 6 | 2003 | 41 | |
| 7 | 2020 | 39 | |
| 8 | 2017 | 39 | |
| 9 | 2019 | 38 | |
| 10 | 2009 | 33 | |
| 11 | 2018 | 32 | |
| 12 | 2017 | 31 | |
| 13 | 2012 | 30 | |
| 14 | CD4+ cells, macrophages, MHC-I and C5b-9 involve the pathogenesis of dysferlinopathy. | 2015 | 30 |
| 15 | 2022 | 27 | |
| 16 | 2018 | 24 | |
| 17 | 2017 | 23 | |
| 18 | 2016 | 23 | |
| 19 | 2025 | 21 | |
| 20 | 2014 | 20 |
About Ting Chen
Ting Chen is a scholar working on Molecular Biology, Genetics, Surgery, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health, having authored 136 papers that have together received 1.8k indexed citations. Recurring topics across this work include Textile materials and evaluations (8 papers), Pancreatic function and diabetes (7 papers), Aerosol Filtration and Electrostatic Precipitation (6 papers), MicroRNA in disease regulation (6 papers), Diabetes and associated disorders (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Mitochondrial Function and Pathology (5 papers) and Metabolism and Genetic Disorders (5 papers). The work is most often cited by research in Molecular Biology (894 citations), Reproductive Medicine (77 citations), Endocrinology, Diabetes and Metabolism (145 citations), Cancer Research (131 citations) and Clinical Biochemistry (54 citations). Ting Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Minghua Deng, Shipra Mehta, Fengzhu Sun, Hongjie Zhou, Bin Gao, Chunxiu Peng, Jiashun Gong, Linqi Chen, Ian G. Macara and Amy M. Brownawell. Their work appears in journals such as Frontiers in Endocrinology, Polymer Composites, Nutrients, Diabetes Metabolic Syndrome and Obesity and Medicine.
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.