Yiling Fang
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
-
- Protein Structure and Dynamics
- Polyamine Metabolism and Applications
- Lipid Membrane Structure and Behavior
- RNA and protein synthesis mechanisms
Papers in
-
- Nuclear Structure and Function 3
- RNA Research and Splicing 3
- Peroxisome Proliferator-Activated Receptors 2
- Surgery 6
- Nausea and vomiting management 2
- Co-authors
- Christopher Miller (4 shared papers)Ludmila Kolmakova-Partensky (2 shared papers)Carole Williams (3 shared papers)Olga Gursky (2 shared papers)David Atkinson (2 shared papers)Tania Shane (2 shared papers)Fang Wu (2 shared papers)Hariharan Jayaram (1 shared paper)
- Journals
- Biochemistry (3 papers)Frontiers in Immunology (2 papers)Frontiers in Medicine (2 papers)Renal Failure (1 paper)Cell Host & Microbe (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Yiling Fang
23 papers receiving 568 citations
Peers
Comparison fields: 5 of 92
- Biochemistry 123
- Molecular Biology 365
- Clinical Biochemistry 29
- Structural Biology 5
- Oncology 95
Countries citing papers authored by Yiling Fang
This map shows the geographic impact of Yiling Fang'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 Yiling Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiling Fang more than expected).
Fields of papers citing papers by Yiling Fang
This network shows the impact of papers produced by Yiling Fang. 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 Yiling Fang. The network helps show where Yiling Fang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiling Fang, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 191 | |
| 2 | 2006 | 60 | |
| 3 | 2022 | 59 | |
| 4 | 2003 | 50 | |
| 5 | 2003 | 34 | |
| 6 | 2012 | 26 | |
| 7 | 2022 | 24 | |
| 8 | 2023 | 18 | |
| 9 | 2011 | 16 | |
| 10 | 2021 | 10 | |
| 11 | 2021 | 10 | |
| 12 | 2025 | 9 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2010 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2022 | 5 |
About Yiling Fang
Yiling Fang is a scholar working on Molecular Biology, Surgery, Oncology, Electrical and Electronic Engineering and Infectious Diseases, having authored 27 papers that have together received 572 indexed citations. Recurring topics across this work include Nuclear Structure and Function (3 papers), RNA Research and Splicing (3 papers), Polyomavirus and related diseases (3 papers), Bacterial Genetics and Biotechnology (3 papers), Alzheimer's disease research and treatments (2 papers), Intensive Care Unit Cognitive Disorders (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers) and Nausea and vomiting management (2 papers). The work is most often cited by research in Biochemistry (123 citations), Molecular Biology (365 citations), Clinical Biochemistry (29 citations), Structural Biology (5 citations) and Oncology (95 citations). Yiling Fang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Christopher Miller, Ludmila Kolmakova-Partensky, Carole Williams, Olga Gursky, David Atkinson, Tania Shane, Fang Wu, Hariharan Jayaram, Yong Xiong and Ming-Feng Tsai. Their work appears in journals such as Biochemistry, Frontiers in Immunology, Frontiers in Medicine, Renal Failure and Cell Host & Microbe.
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.