Yu Jiang
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- MicroRNA in disease regulation
Papers in
-
- Microbial metabolism and enzyme function 4
- Circular RNAs in diseases 3
- Surgery 10
- Thyroid and Parathyroid Surgery 3
- Co-authors
- Priyam Banerjee (6 shared papers)Hui Yuan (2 shared papers)Junjie Wang (3 shared papers)Xin Liu (7 shared papers)Samuel Seery (1 shared paper)Mingyang Chen (1 shared paper)Maria José González (1 shared paper)Peng Xue (1 shared paper)
- Journals
- Frontiers in Medicine (3 papers)Journal of Clinical Investigation (3 papers)International Journal of Colorectal Disease (2 papers)Frontiers in Immunology (2 papers)Nature Communications (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Yu Jiang
60 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 128
- Health Informatics 91
- Cancer Research 158
- Oncology 184
- Otorhinolaryngology 22
- Molecular Biology 347
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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 142 | |
| 2 | 2016 | 62 | |
| 3 | 2017 | 57 | |
| 4 | 2008 | 54 | |
| 5 | 2010 | 52 | |
| 6 | 2014 | 49 | |
| 7 | 2018 | 45 | |
| 8 | 2022 | 43 | |
| 9 | 2018 | 37 | |
| 10 | 2009 | 37 | |
| 11 | 2015 | 36 | |
| 12 | 2021 | 35 | |
| 13 | 2021 | 26 | |
| 14 | 2023 | 24 | |
| 15 | 2021 | 24 | |
| 16 | 2023 | 23 | |
| 17 | 2022 | 23 | |
| 18 | 2018 | 22 | |
| 19 | 2011 | 22 | |
| 20 | 2021 | 20 |
About Yu Jiang
Yu Jiang is a scholar working on Molecular Biology, Surgery, Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), Microbial metabolism and enzyme function (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Thyroid and Parathyroid Surgery (3 papers), Circular RNAs in diseases (3 papers), Cancer Research and Treatments (3 papers), Respiratory Support and Mechanisms (2 papers) and Autoimmune Bullous Skin Diseases (2 papers). The work is most often cited by research in Health Informatics (91 citations), Cancer Research (158 citations), Oncology (184 citations), Otorhinolaryngology (22 citations) and Molecular Biology (347 citations). Yu Jiang has collaborated with scholars based in China, United States and India. Frequent co-authors include Priyam Banerjee, Hui Yuan, Junjie Wang, Xin Liu, Samuel Seery, Mingyang Chen, Maria José González, Peng Xue, You‐Lin Qiao and Ran Ren. Their work appears in journals such as Frontiers in Medicine, Journal of Clinical Investigation, International Journal of Colorectal Disease, Frontiers in Immunology and Nature Communications.
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.