Yujing Chi
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Gut microbiota and health
- RNA modifications and cancer
- Circular RNAs in diseases
Papers in
-
- Metabolism, Diabetes, and Cancer 5
- Surgery 12
- Pancreatic function and diabetes 8
- Co-authors
- Junpei Wang (3 shared papers)Weidong Yu (2 shared papers)Di Wang (2 shared papers)Jichun Yang (1 shared paper)Jichun Yang (20 shared papers)Ying Hu (4 shared papers)Youfei Guan (7 shared papers)Jing Li (4 shared papers)
- Journals
- Metabolism (3 papers)Hepatology (3 papers)Oncotarget (2 papers)Advanced Science (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaRomaniaUnited States
In The Last Decade
Yujing Chi
37 papers receiving 2.1k citations
Yujing Chi's Hit Papers
Peers
Comparison fields: 5 of 110
- Cancer Research 551
- Molecular Biology 1.0k
- Epidemiology 467
- Physiology 336
- Endocrinology, Diabetes and Metabolism 161
Countries citing papers authored by Yujing Chi
This map shows the geographic impact of Yujing Chi'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 Yujing Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yujing Chi more than expected).
Fields of papers citing papers by Yujing Chi
This network shows the impact of papers produced by Yujing Chi. 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 Yujing Chi. The network helps show where Yujing Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yujing Chi, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Long Non-Coding RNA in the Pathogenesis of Cancers Hit paper breakdown → | 2019 | 621 |
| 2 | Dysbiosis gut microbiota associated with inflammation and impaired mucosal immune function in intestine of humans with non-alcoholic fatty liver disease Hit paper breakdown → | 2015 | 524 |
| 3 | 2010 | 188 | |
| 4 | 2013 | 100 | |
| 5 | 2013 | 74 | |
| 6 | 2008 | 56 | |
| 7 | 2013 | 55 | |
| 8 | 2011 | 55 | |
| 9 | 2022 | 34 | |
| 10 | 2019 | 34 | |
| 11 | 2019 | 32 | |
| 12 | 2013 | 32 | |
| 13 | 2015 | 31 | |
| 14 | 2014 | 31 | |
| 15 | 2022 | 30 | |
| 16 | 2018 | 26 | |
| 17 | 2017 | 21 | |
| 18 | 2023 | 16 | |
| 19 | 2020 | 15 | |
| 20 | 2022 | 14 |
About Yujing Chi
Yujing Chi is a scholar working on Molecular Biology, Surgery, Epidemiology, Physiology and Physiology, having authored 39 papers that have together received 2.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Pancreatic function and diabetes (8 papers), Adenosine and Purinergic Signaling (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Adipose Tissue and Metabolism (5 papers), Diet and metabolism studies (4 papers), Diet, Metabolism, and Disease (3 papers) and Chemical Synthesis and Characterization (2 papers). The work is most often cited by research in Cancer Research (551 citations), Molecular Biology (1.0k citations), Epidemiology (467 citations), Physiology (336 citations) and Endocrinology, Diabetes and Metabolism (161 citations). Yujing Chi has collaborated with scholars based in China, Romania and United States. Frequent co-authors include Junpei Wang, Weidong Yu, Di Wang, Jichun Yang, Jichun Yang, Ying Hu, Youfei Guan, Jing Li, Yulan Liu and Weiwei Jiang. Their work appears in journals such as Metabolism, Hepatology, Oncotarget, Advanced Science and Scientific Reports.
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.