Ying Qi
Impact in
- Genetics top 1%
- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
Papers in
- Parasitology 25
- Toxoplasma gondii Research Studies 25
- Epidemiology 53
- Cytomegalovirus and herpesvirus research 51
- Herpesvirus Infections and Treatments 32
- Co-authors
- A. John IafrateCharles LeeStephen W. SchererLars FeukPatricia K. DonahoeMiguel N. RiveraMarc ListewnikQiang Ruan
- Journals
- Virology Journal (8 papers)Journal of Biosciences (6 papers)Journal of Medical Virology (4 papers)Archives of Virology (4 papers)Frontiers in Physiology (3 papers)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Ying Qi
89 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Genetics 1.8k
- Cancer Research 658
- Molecular Biology 1.9k
- Pediatrics, Perinatology and Child Health 399
- Parasitology 117
Countries citing papers authored by Ying Qi
This map shows the geographic impact of Ying Qi'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 Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Qi more than expected).
Fields of papers citing papers by Ying Qi
This network shows the impact of papers produced by Ying Qi. 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 Qi. The network helps show where Ying Qi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Qi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 16 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2020 | 2 | |
| 8 | 2019 | 29 | |
| 9 | 2017 | 14 | |
| 10 | 2014 | 6 | |
| 11 | 2012 | 1 | |
| 12 | 2012 | 14 | |
| 13 | 2011 | 40 | |
| 14 | 2011 | 7 | |
| 15 | 2011 | 7 | |
| 16 | 2011 | 5 | |
| 17 | 2009 | 11 | |
| 18 | 2008 | 0 | |
| 19 | 2007 | 46 | |
| 20 | 2006 | 24 |
About Ying Qi
Ying Qi is a scholar working on Parasitology, Epidemiology, Cancer Research, Genetics and Pediatrics, Perinatology and Child Health, having authored 97 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (51 papers), Herpesvirus Infections and Treatments (32 papers), Toxoplasma gondii Research Studies (25 papers), MicroRNA in disease regulation (10 papers), RNA regulation and disease (10 papers), Glioma Diagnosis and Treatment (8 papers), RNA Interference and Gene Delivery (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Genetics (1.8k citations), Cancer Research (658 citations), Molecular Biology (1.9k citations), Pediatrics, Perinatology and Child Health (399 citations) and Parasitology (117 citations). Ying Qi has collaborated with scholars based in China, United States and Poland. Frequent co-authors include A. John Iafrate, Charles Lee, Stephen W. Scherer, Lars Feuk, Patricia K. Donahoe, Miguel N. Rivera, Marc Listewnik, Qiang Ruan, Stephan Hann and Yanping Ma. Their work appears in journals such as Virology Journal, Journal of Biosciences, Journal of Medical Virology, Archives of Virology and Frontiers in Physiology.
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.