Yu Jiang
Impact in
- Hepatology top 5%
- Liver Disease and Transplantation
- Aging top 10%
Papers in
-
- Epigenetics and DNA Methylation 12
- Gene expression and cancer classification 9
- Bioinformatics and Genomic Networks 8
- Metabolomics and Mass Spectrometry Studies 5
- Physiology 15
- Adipose Tissue and Metabolism 6
- Co-authors
- Shuangge Ma (14 shared papers)Cen Wu (10 shared papers)Fei Zhou (4 shared papers)Xiaoxi Li (2 shared papers)Sanjaya K. Satapathy (14 shared papers)Jie Ren (1 shared paper)Wilfried Karmaus (16 shared papers)Weiqun Wang (7 shared papers)
- Journals
- Statistics in Medicine (3 papers)PLoS ONE (2 papers)Nutrients (2 papers)Atmospheric Environment (2 papers)Clinical and Translational Gastroenterology (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yu Jiang
94 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 140
- Hepatology 129
- Aging 19
- Statistics and Probability 87
- Epidemiology 242
- Transplantation 18
Countries citing papers authored by Yu Jiang
This map shows the geographic impact of Yu Jiang'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 Yu Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Jiang more than expected).
Fields of papers citing papers by Yu Jiang
This network shows the impact of papers produced by Yu Jiang. 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 Yu Jiang. The network helps show where Yu Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Jiang, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 151 | |
| 2 | 2011 | 114 | |
| 3 | 2018 | 62 | |
| 4 | 2007 | 56 | |
| 5 | 2017 | 44 | |
| 6 | 2016 | 41 | |
| 7 | 2019 | 39 | |
| 8 | 2015 | 39 | |
| 9 | 2021 | 37 | |
| 10 | 2017 | 36 | |
| 11 | 2021 | 36 | |
| 12 | 2022 | 30 | |
| 13 | 2017 | 30 | |
| 14 | 2019 | 30 | |
| 15 | 2019 | 30 | |
| 16 | 2014 | 28 | |
| 17 | 2018 | 25 | |
| 18 | 2018 | 24 | |
| 19 | 2018 | 22 | |
| 20 | 2010 | 22 |
About Yu Jiang
Yu Jiang is a scholar working on Molecular Biology, Physiology, Epidemiology, Genetics and Pulmonary and Respiratory Medicine, having authored 99 papers that have together received 1.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (12 papers), Gene expression and cancer classification (9 papers), Liver Disease Diagnosis and Treatment (8 papers), Bioinformatics and Genomic Networks (8 papers), Adipose Tissue and Metabolism (6 papers), Neonatal Respiratory Health Research (6 papers), Metabolomics and Mass Spectrometry Studies (5 papers) and Genetic and phenotypic traits in livestock (5 papers). The work is most often cited by research in Hepatology (129 citations), Aging (19 citations), Statistics and Probability (87 citations), Epidemiology (242 citations) and Transplantation (18 citations). Yu Jiang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Shuangge Ma, Cen Wu, Fei Zhou, Xiaoxi Li, Sanjaya K. Satapathy, Jie Ren, Wilfried Karmaus, Weiqun Wang, Denis M. Medeiros and Dingbo Lin. Their work appears in journals such as Statistics in Medicine, PLoS ONE, Nutrients, Atmospheric Environment and Clinical and Translational Gastroenterology.
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.