Xiuling Shang
Impact in
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 7
- RNA and protein synthesis mechanisms 3
- CRISPR and Genetic Engineering 3
- Co-authors
- Tingyi Wen (11 shared papers)Yun Zhang (10 shared papers)Yong Liang (5 shared papers)Yingrui Zhang (7 shared papers)Pengli Zhu (3 shared papers)Shujuan Lai (4 shared papers)Kaiyang Lin (3 shared papers)Xin Chai (5 shared papers)
- Journals
- Frontiers in Medicine (4 papers)ACS Synthetic Biology (3 papers)BioMed Research International (3 papers)Electrochimica Acta (2 papers)Applied and Environmental Microbiology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiuling Shang
47 papers receiving 973 citations
Peers
Comparison fields: 5 of 119
- Critical Care and Intensive Care Medicine 52
- Biochemistry 50
- Molecular Biology 426
- Geriatrics and Gerontology 16
- Infectious Diseases 71
Countries citing papers authored by Xiuling Shang
This map shows the geographic impact of Xiuling 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 Xiuling Shang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiuling Shang more than expected).
Fields of papers citing papers by Xiuling Shang
This network shows the impact of papers produced by Xiuling 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 Xiuling Shang. The network helps show where Xiuling Shang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiuling 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 160 | |
| 2 | 2018 | 90 | |
| 3 | 2019 | 88 | |
| 4 | 2012 | 49 | |
| 5 | 2019 | 37 | |
| 6 | 2021 | 36 | |
| 7 | 2015 | 36 | |
| 8 | 2019 | 35 | |
| 9 | 2012 | 31 | |
| 10 | 2017 | 29 | |
| 11 | 2017 | 27 | |
| 12 | 2011 | 27 | |
| 13 | 2015 | 26 | |
| 14 | 2018 | 24 | |
| 15 | 2024 | 23 | |
| 16 | 2018 | 23 | |
| 17 | 2012 | 23 | |
| 18 | 2020 | 20 | |
| 19 | 2010 | 19 | |
| 20 | 2023 | 18 |
About Xiuling Shang
Xiuling Shang is a scholar working on Critical Care and Intensive Care Medicine, Molecular Biology, Materials Chemistry, Epidemiology and Biochemistry, having authored 51 papers that have together received 988 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (7 papers), Sepsis Diagnosis and Treatment (5 papers), Enzyme Structure and Function (5 papers), Corrosion Behavior and Inhibition (3 papers), RNA and protein synthesis mechanisms (3 papers), CRISPR and Genetic Engineering (3 papers), Amino Acid Enzymes and Metabolism (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (52 citations), Biochemistry (50 citations), Molecular Biology (426 citations), Geriatrics and Gerontology (16 citations) and Infectious Diseases (71 citations). Xiuling Shang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tingyi Wen, Yun Zhang, Yong Liang, Yingrui Zhang, Pengli Zhu, Shujuan Lai, Kaiyang Lin, Xin Chai, Rongguo Yu and Aihua Deng. Their work appears in journals such as Frontiers in Medicine, ACS Synthetic Biology, BioMed Research International, Electrochimica Acta and Applied and Environmental Microbiology.
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.