Xi Cheng
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Gut microbiota and health 16
- Physiology 22
- Diet and metabolism studies 15
- Co-authors
- Bina Joe (41 shared papers)Blair Mell (26 shared papers)Matam Vijay–Kumar (17 shared papers)Ahmad Alimadadi (7 shared papers)Saroj Chakraborty (13 shared papers)Chuansheng Zhao (13 shared papers)Ishan Manandhar (6 shared papers)Sachin Aryal (6 shared papers)
- Journals
- Physiological Genomics (10 papers)Hypertension (9 papers)The FASEB Journal (4 papers)Gene (2 papers)Journal of Hypertension (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xi Cheng
131 papers receiving 2.6k citations
Xi Cheng's Hit Papers
Peers
Comparison fields: 5 of 150
- Biological Psychiatry 85
- Neurology 209
- Physiology 515
- Molecular Biology 1.1k
- Developmental Neuroscience 54
Countries citing papers authored by Xi Cheng
This map shows the geographic impact of Xi Cheng'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 Xi Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xi Cheng more than expected).
Fields of papers citing papers by Xi Cheng
This network shows the impact of papers produced by Xi Cheng. 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 Xi Cheng. The network helps show where Xi Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Xi Cheng, 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 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 179 | |
| 2 | 2018 | 145 | |
| 3 | Deep Learning Based Detector YOLOv5 for Identifying Insect Pests Hit paper breakdown → | 2022 | 107 |
| 4 | 2017 | 106 | |
| 5 | 2020 | 94 | |
| 6 | 2013 | 82 | |
| 7 | 2008 | 81 | |
| 8 | 2018 | 74 | |
| 9 | 2021 | 67 | |
| 10 | 2021 | 62 | |
| 11 | 2013 | 61 | |
| 12 | 2020 | 53 | |
| 13 | 2018 | 50 | |
| 14 | 2020 | 48 | |
| 15 | 2020 | 47 | |
| 16 | 2011 | 41 | |
| 17 | 2017 | 40 | |
| 18 | 2022 | 39 | |
| 19 | 2013 | 39 | |
| 20 | 2023 | 38 |
About Xi Cheng
Xi Cheng is a scholar working on Molecular Biology, Physiology, Neurology, Immunology and Oncology, having authored 141 papers that have together received 2.6k indexed citations. Recurring topics across this work include Gut microbiota and health (16 papers), Diet and metabolism studies (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Cancer-related molecular mechanisms research (8 papers), Immunotherapy and Immune Responses (7 papers), Tryptophan and brain disorders (7 papers), T-cell and B-cell Immunology (6 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Biological Psychiatry (85 citations), Neurology (209 citations), Physiology (515 citations), Molecular Biology (1.1k citations) and Developmental Neuroscience (54 citations). Xi Cheng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Bina Joe, Blair Mell, Matam Vijay–Kumar, Ahmad Alimadadi, Saroj Chakraborty, Chuansheng Zhao, Ishan Manandhar, Sachin Aryal, Piu Saha and Sarah Galla. Their work appears in journals such as Physiological Genomics, Hypertension, The FASEB Journal, Gene and Journal of Hypertension.
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.