Ying Jiang
- Molecular Biology top 5%
- Cell Biology top 2%
- Cancer Research top 5%
- Epidemiology top 10%
- Oncology top 10%
- Co-authors
- Fuchu HeJay D. GrallaHandong WeiXiaohong QianWei SunShun LiSongfeng WuXiang Qin
- Topics
- Advanced Proteomics Techniques and Applications (16 papers)Liver Disease Diagnosis and Treatment (16 papers)RNA Research and Splicing (15 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ying Jiang
151 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 158
- Molecular Biology 1.8k
- Cell Biology 482
- Cancer Research 452
- Epidemiology 426
- Oncology 339
Countries citing papers authored by Ying Jiang
This map shows the geographic impact of Ying 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 Ying Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Jiang more than expected).
Fields of papers citing papers by Ying Jiang
This network shows the impact of papers produced by Ying 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 Ying Jiang. The network helps show where Ying Jiang may publish in the future.
Co-authorship network of co-authors of Ying Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Jiang. A scholar is included among the top collaborators of Ying Jiang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying Jiang. Ying Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 116 | |
| 5 | 11 | |
| 6 | 9 | |
| 7 | 38 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 33 | |
| 11 | 54 | |
| 12 | 88 | |
| 13 | 27 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | Research on Background Noise Level of Global Superconducting Gravimeter | 1 |
| 17 | DETERMINATION OF CARBON NUMBER DISTRIBUTION OF FISCHER-TROPSCH WAX BY HIGH TEMPERATURE GAS CHROMATOGRAPHY | 1 |
| 18 | 1 | |
| 19 | Web service reputation measurement based on quality of service similarity | 1 |
| 20 | Fault diagnosis for Web service composition based on Bayesian network | 2 |
About Ying Jiang
Ying Jiang is a scholar working on Cancer Research, Molecular Biology and Cell Biology, having authored 156 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (16 papers), Liver Disease Diagnosis and Treatment (16 papers) and RNA Research and Splicing (15 papers). The work is most often cited by research in Cancer Research (452 citations), Cell Biology (482 citations) and Hepatology (218 citations). Ying Jiang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fuchu He, Jay D. Gralla, Handong Wei, Xiaohong Qian, Wei Sun, Shun Li, Songfeng Wu, Xiang Qin, Hong Yang and Chunhui Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.