Baoling Ying
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- Genetics top 5%
- Virus-based gene therapy research
Papers in
- Genetics 25
- Virus-based gene therapy research 25
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- Viral gastroenteritis research and epidemiology 12
- SARS-CoV-2 and COVID-19 Research 8
- Co-authors
- William S.M. Wold (26 shared papers)Ann E. Tollefson (22 shared papers)Károly Tóth (20 shared papers)Jacqueline F. Spencer (19 shared papers)Michael Diamond (9 shared papers)Konstantin Doronin (3 shared papers)R. Mark L. Buller (3 shared papers)John E. Sagartz (3 shared papers)
- Journals
- Journal of Virology (6 papers)Antiviral Research (4 papers)Virology (4 papers)Antimicrobial Agents and Chemotherapy (3 papers)Cancer Gene Therapy (3 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Baoling Ying
37 papers receiving 959 citations
Peers
Comparison fields: 5 of 75
- Infectious Diseases 430
- Genetics 446
- Immunology 220
- Oncology 204
- Molecular Biology 446
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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 143 | |
| 2 | 2021 | 86 | |
| 3 | 2009 | 47 | |
| 4 | 2004 | 46 | |
| 5 | 2015 | 43 | |
| 6 | 2021 | 40 | |
| 7 | 2014 | 38 | |
| 8 | 2014 | 37 | |
| 9 | 2022 | 36 | |
| 10 | 2014 | 36 | |
| 11 | 2015 | 31 | |
| 12 | 1996 | 28 | |
| 13 | 2007 | 28 | |
| 14 | 2003 | 27 | |
| 15 | 2017 | 26 | |
| 16 | 2019 | 25 | |
| 17 | 2003 | 24 | |
| 18 | 2018 | 21 | |
| 19 | 2018 | 21 | |
| 20 | 2015 | 19 |
About Baoling Ying
Baoling Ying is a scholar working on Genetics, Infectious Diseases, Molecular Biology, Oncology and Epidemiology, having authored 38 papers that have together received 970 indexed citations. Recurring topics across this work include Virus-based gene therapy research (25 papers), CAR-T cell therapy research (12 papers), Viral gastroenteritis research and epidemiology (12 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Cytomegalovirus and herpesvirus research (7 papers), Herpesvirus Infections and Treatments (5 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Infectious Diseases (430 citations), Genetics (446 citations), Immunology (220 citations), Oncology (204 citations) and Molecular Biology (446 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, Kimberley Smith and Katherine R. Spindler. Their work appears in journals such as Journal of Virology, Antiviral Research, Virology, Antimicrobial Agents and Chemotherapy and Cancer Gene Therapy.
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.