Ying Chang
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
- Health top 10%
- Vaccine Coverage and Hesitancy
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 1
-
- Immunotherapy and Immune Responses 2
- Immunodeficiency and Autoimmune Disorders 1
- Co-authors
- Bethany Girard (4 shared papers)David C. Montefiori (4 shared papers)Darin K. Edwards (4 shared papers)Rituparna Das (4 shared papers)Jacqueline M. Miller (4 shared papers)Stephen R. Walsh (3 shared papers)Spyros Chalkias (3 shared papers)Brandon J. Essink (3 shared papers)
- Journals
- Nature Medicine (2 papers)New England Journal of Medicine (1 paper)Nature Communications (1 paper)Vaccines (1 paper)Land (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ying Chang
6 papers receiving 660 citations
Ying Chang's Hit Papers
Peers
Comparison fields: 5 of 48
- Infectious Diseases 568
- Health 80
- Animal Science and Zoology 99
- Modeling and Simulation 28
- Immunology 82
Countries citing papers authored by Ying Chang
This map shows the geographic impact of Ying Chang'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 Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Chang more than expected).
Fields of papers citing papers by Ying Chang
This network shows the impact of papers produced by Ying Chang. 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 Chang. The network helps show where Ying Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Chang, 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 | A Bivalent Omicron-Containing Booster Vaccine against Covid-19 Hit paper breakdown → | 2022 | 475 |
| 2 | 2022 | 102 | |
| 3 | 2022 | 76 | |
| 4 | 2023 | 17 | |
| 5 | 2022 | 5 | |
| 6 | 2024 | 2 |
About Ying Chang
Ying Chang is a scholar working on Infectious Diseases, Immunology, Animal Science and Zoology, Health and Health, Toxicology and Mutagenesis, having authored 6 papers that have together received 677 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Animal Virus Infections Studies (2 papers), Immunotherapy and Immune Responses (2 papers), COVID-19 Clinical Research Studies (1 paper), Vaccine Coverage and Hesitancy (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), Urban Agriculture and Sustainability (1 paper) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Infectious Diseases (568 citations), Health (80 citations), Animal Science and Zoology (99 citations), Modeling and Simulation (28 citations) and Immunology (82 citations). Ying Chang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Bethany Girard, David C. Montefiori, Darin K. Edwards, Rituparna Das, Jacqueline M. Miller, Stephen R. Walsh, Spyros Chalkias, Brandon J. Essink, Lindsey Robert Baden and Jing Feng. Their work appears in journals such as Nature Medicine, New England Journal of Medicine, Nature Communications, Vaccines and Land.
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.