Shili Chen
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in
-
- Non-Destructive Testing Techniques 14
-
- Ultrasonics and Acoustic Wave Propagation 14
- Co-authors
- Alan Saghatelian (3 shared papers)Barbara B. Kahn (2 shared papers)Ulf Smith (2 shared papers)Tejia Zhang (2 shared papers)Ismail Syed (2 shared papers)Edwin A. Homan (2 shared papers)Ann Hammarstedt (1 shared paper)Timothy E. McGraw (1 shared paper)
- Journals
- Ultrasonics (4 papers)Measurement Science and Technology (3 papers)IEEE Access (2 papers)NDT & E International (2 papers)Sensors (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Shili Chen
52 papers receiving 1.3k citations
Shili Chen's Hit Papers
Peers
Comparison fields: 5 of 124
- Biochemistry 160
- Physiology 251
- Nutrition and Dietetics 144
- Molecular Biology 498
- Cancer Research 101
Countries citing papers authored by Shili Chen
This map shows the geographic impact of Shili 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 Shili Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shili Chen more than expected).
Fields of papers citing papers by Shili Chen
This network shows the impact of papers produced by Shili 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 Shili Chen. The network helps show where Shili Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shili 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Discovery of a Class of Endogenous Mammalian Lipids with Anti-Diabetic and Anti-inflammatory Effects Hit paper breakdown → | 2014 | 648 |
| 2 | 2016 | 123 | |
| 3 | 2016 | 67 | |
| 4 | 2016 | 38 | |
| 5 | 2020 | 35 | |
| 6 | 2016 | 28 | |
| 7 | 2018 | 26 | |
| 8 | 2013 | 23 | |
| 9 | 2017 | 22 | |
| 10 | 2017 | 19 | |
| 11 | 2019 | 18 | |
| 12 | 2022 | 17 | |
| 13 | 2019 | 17 | |
| 14 | 2024 | 12 | |
| 15 | 2013 | 12 | |
| 16 | 2019 | 12 | |
| 17 | 2017 | 12 | |
| 18 | 2018 | 11 | |
| 19 | 2019 | 11 | |
| 20 | 2006 | 9 |
About Shili Chen
Shili Chen is a scholar working on Mechanical Engineering, Mechanics of Materials, Biomedical Engineering, Geophysics and Ocean Engineering, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Non-Destructive Testing Techniques (14 papers), Ultrasonics and Acoustic Wave Propagation (14 papers), Underwater Acoustics Research (4 papers), Magnetic Properties and Applications (4 papers), Photoacoustic and Ultrasonic Imaging (4 papers), Geophysical and Geoelectrical Methods (3 papers), Seismic Waves and Analysis (3 papers) and Water Systems and Optimization (3 papers). The work is most often cited by research in Biochemistry (160 citations), Physiology (251 citations), Nutrition and Dietetics (144 citations), Molecular Biology (498 citations) and Cancer Research (101 citations). Shili Chen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Alan Saghatelian, Barbara B. Kahn, Ulf Smith, Tejia Zhang, Ismail Syed, Edwin A. Homan, Ann Hammarstedt, Timothy E. McGraw, Mark A. Herman and Odile D. Peroni. Their work appears in journals such as Ultrasonics, Measurement Science and Technology, IEEE Access, NDT & E International and Sensors.
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.