Baoling Ying
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Immunology top 10%
- interferon and immune responses
- Immunotherapy and Immune Responses
Papers in
-
- SARS-CoV-2 and COVID-19 Research 20
- Genetics 25
- Virus-based gene therapy research 25
- Co-authors
- William S.M. Wold (27 shared papers)Ann E. Tollefson (23 shared papers)Károly Tóth (21 shared papers)Jacqueline F. Spencer (20 shared papers)Michael Diamond (9 shared papers)Konstantin Doronin (3 shared papers)R. Mark L. Buller (3 shared papers)John E. Sagartz (4 shared papers)
- Journals
- Journal of Virology (6 papers)Antiviral Research (4 papers)Science Translational Medicine (4 papers)Nature (4 papers)Virology (4 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Baoling Ying
51 papers receiving 2.7k citations
Baoling Ying's Hit Papers
Peers
Comparison fields: 5 of 90
- Infectious Diseases 1.7k
- Immunology 288
- Genetics 360
- Epidemiology 266
- Animal Science and Zoology 47
Countries citing papers authored by Baoling Ying
This map shows the geographic impact of Baoling Ying'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 Baoling Ying with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoling Ying more than expected).
Fields of papers citing papers by Baoling Ying
This network shows the impact of papers produced by Baoling Ying. 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 Baoling Ying. The network helps show where Baoling Ying may publish in the future.
Co-authors
The 25 scholars most cited alongside Baoling Ying, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SARS-CoV-2 Omicron virus causes attenuated disease in mice and hamsters Hit paper breakdown → | 2022 | 520 |
| 2 | 2021 | 287 | |
| 3 | 2021 | 186 | |
| 4 | 2021 | 161 | |
| 5 | 2022 | 136 | |
| 6 | 2022 | 130 | |
| 7 | SARS-CoV-2 Omicron boosting induces de novo B cell response in humans Hit paper breakdown → | 2023 | 118 |
| 8 | 2021 | 103 | |
| 9 | 2022 | 95 | |
| 10 | 2022 | 70 | |
| 11 | 2022 | 62 | |
| 12 | 2021 | 56 | |
| 13 | 2009 | 49 | |
| 14 | 2004 | 48 | |
| 15 | 2015 | 45 | |
| 16 | 2014 | 40 | |
| 17 | 2014 | 39 | |
| 18 | 2014 | 39 | |
| 19 | 2024 | 34 | |
| 20 | 2024 | 33 |
About Baoling Ying
Baoling Ying is a scholar working on Infectious Diseases, Genetics, Epidemiology, Immunology and Oncology, having authored 53 papers that have together received 2.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (25 papers), SARS-CoV-2 and COVID-19 Research (20 papers), Respiratory viral infections research (7 papers), Herpesvirus Infections and Treatments (7 papers), Cytomegalovirus and herpesvirus research (6 papers), interferon and immune responses (5 papers), Cancer-related Molecular Pathways (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Immunology (288 citations), Genetics (360 citations), Epidemiology (266 citations) and Animal Science and Zoology (47 citations). Baoling Ying has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include William S.M. Wold, Ann E. Tollefson, Károly Tóth, Jacqueline F. Spencer, Michael Diamond, Konstantin Doronin, R. Mark L. Buller, John E. Sagartz, Rita E. Chen and Swathi Shrihari. Their work appears in journals such as Journal of Virology, Antiviral Research, Science Translational Medicine, Nature and Virology.
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.