Ying Deng
- Molecular Biology
- Epidemiology top 10%
- Neurology top 5%
- Infectious Diseases top 10%
- Physiology
- Co-authors
- Edward D. HallIndrapal N. SinghPatrick G. SullivanJieli YuanMing LiJiang WuBrian M. ThompsonStephanie Thompson
- Topics
- Influenza Virus Research Studies (9 papers)Epilepsy research and treatment (6 papers)Pharmacological Effects and Toxicity Studies (6 papers)
- Journals
- New England Journal of MedicineNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ying Deng
84 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 154
- Molecular Biology 489
- Epidemiology 438
- Neurology 345
- Infectious Diseases 190
- Physiology 161
Countries citing papers authored by Ying Deng
This map shows the geographic impact of Ying Deng'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 Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Deng more than expected).
Fields of papers citing papers by Ying Deng
This network shows the impact of papers produced by Ying Deng. 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 Deng. The network helps show where Ying Deng may publish in the future.
Co-authorship network of co-authors of Ying Deng
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Deng. A scholar is included among the top collaborators of Ying Deng 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 Deng. Ying Deng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 67 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | Effects of Gei Herba on Neuronal Apoptosis and Protein Expression in Peri-infarct Cortex of Rats with Permenant Middle Cerebral Artery Occlusion | 4 |
| 15 | 7 | |
| 16 | 4 | |
| 17 | [Analysis of vaccination coverage of the elderly influenced by different family structures in Beijing]. | 2 |
| 18 | 26 | |
| 19 | [Analysis of the difference in free influenza vaccination rates between old people in urban and rural areas in Beijing]. | 7 |
| 20 | 78 |
About Ying Deng
Ying Deng is a scholar working on Complementary and alternative medicine, Epidemiology and Nephrology, having authored 93 papers that have together received 1.7k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), Epilepsy research and treatment (6 papers) and Pharmacological Effects and Toxicity Studies (6 papers). The work is most often cited by research in Neurology (345 citations), Nephrology (103 citations) and Modeling and Simulation (59 citations). Ying Deng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Edward D. Hall, Indrapal N. Singh, Patrick G. Sullivan, Jieli Yuan, Ming Li, Jiang Wu, Brian M. Thompson, Stephanie Thompson, Tonya R. Gibson and Mei Lü. Their work appears in journals such as New England Journal of Medicine, Nature Communications and SHILAP Revista de lepidopterología.
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.