Sen Shang
Impact in
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- Tryptophan and brain disorders
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- Diet and metabolism studies
- Adipose Tissue and Metabolism
Papers in
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- Bioinformatics and Genomic Networks 3
- Gene expression and cancer classification 2
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- Diet and metabolism studies 5
- Adipose Tissue and Metabolism 4
- Co-authors
- Xiaoyun Lu (21 shared papers)Erling Hu (6 shared papers)Haixia Lü (2 shared papers)Leilei Wang (1 shared paper)Yali Zhang (1 shared paper)Leilei Wang (2 shared papers)Huan Du (1 shared paper)Xinliang Zhu (1 shared paper)
- Journals
- iScience (3 papers)International Journal of Molecular Sciences (3 papers)Neuroscience (2 papers)Biomedical Optics Express (2 papers)Journal of Photochemistry and Photobiology B Biology (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Sen Shang
24 papers receiving 283 citations
Peers
Comparison fields: 5 of 85
- Biological Psychiatry 12
- Physiology 102
- Aging 5
- Process Chemistry and Technology 5
- Clinical Biochemistry 11
Countries citing papers authored by Sen Shang
This map shows the geographic impact of Sen Shang'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 Sen Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Shang more than expected).
Fields of papers citing papers by Sen Shang
This network shows the impact of papers produced by Sen Shang. 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 Sen Shang. The network helps show where Sen Shang may publish in the future.
Co-authors
The 25 scholars most cited alongside Sen Shang, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 66 | |
| 2 | 2018 | 55 | |
| 3 | 2020 | 21 | |
| 4 | 2021 | 21 | |
| 5 | 2022 | 15 | |
| 6 | 2018 | 13 | |
| 7 | A Coupled Rotor/Wing Optimization Procedure for High Speed Tilt-Rotor Aircraft | 1995 | 12 |
| 8 | 2024 | 11 | |
| 9 | 2022 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2024 | 8 | |
| 12 | 2019 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2020 | 5 | |
| 17 | 2024 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 2 |
About Sen Shang
Sen Shang is a scholar working on Molecular Biology, Physiology, Biotechnology, Electrical and Electronic Engineering and Biomedical Engineering, having authored 26 papers that have together received 289 indexed citations. Recurring topics across this work include Terahertz technology and applications (5 papers), Diet and metabolism studies (5 papers), Adipose Tissue and Metabolism (4 papers), Microbial Inactivation Methods (4 papers), Bioinformatics and Genomic Networks (3 papers), Allergic Rhinitis and Sensitization (2 papers), Gene expression and cancer classification (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Biological Psychiatry (12 citations), Physiology (102 citations), Aging (5 citations), Process Chemistry and Technology (5 citations) and Clinical Biochemistry (11 citations). Sen Shang has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Xiaoyun Lu, Erling Hu, Haixia Lü, Leilei Wang, Yali Zhang, Leilei Wang, Huan Du, Xinliang Zhu, Qi Zhang and Leilei Wang. Their work appears in journals such as iScience, International Journal of Molecular Sciences, Neuroscience, Biomedical Optics Express and Journal of Photochemistry and Photobiology B Biology.
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.