Junkai Yang
Impact in
- Virology top 10%
- HIV Research and Treatment
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- HIV/AIDS Research and Interventions
Papers in
-
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Yang Yu (1 shared paper)Hongdong Fan (1 shared paper)Kazhong Deng (1 shared paper)HW Lee (1 shared paper)Kirk A. Easley (1 shared paper)Mark J. Mulligan (1 shared paper)Rama Rao Amara (1 shared paper)Colleen S. Kraft (1 shared paper)
- Journals
- Cell Reports (2 papers)iScience (1 paper)PLoS ONE (1 paper)Drug Resistance Updates (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Junkai Yang
21 papers receiving 397 citations
Peers
Comparison fields: 5 of 91
- Virology 39
- Infectious Diseases 108
- Aerospace Engineering 88
- Ocean Engineering 53
- Immunology 61
Countries citing papers authored by Junkai Yang
This map shows the geographic impact of Junkai Yang'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 Junkai Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junkai Yang more than expected).
Fields of papers citing papers by Junkai Yang
This network shows the impact of papers produced by Junkai Yang. 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 Junkai Yang. The network helps show where Junkai Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junkai Yang, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 133 | |
| 2 | 2015 | 107 | |
| 3 | 2021 | 62 | |
| 4 | 2022 | 21 | |
| 5 | 2022 | 17 | |
| 6 | 2022 | 11 | |
| 7 | 2022 | 11 | |
| 8 | 2019 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 6 | |
| 11 | 2012 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2022 | 2 | |
| 14 | 2012 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2024 | 1 |
About Junkai Yang
Junkai Yang is a scholar working on Infectious Diseases, Molecular Biology, Pulmonary and Respiratory Medicine, Electrical and Electronic Engineering and Neurology, having authored 24 papers that have together received 403 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Long-Term Effects of COVID-19 (2 papers), Ferroptosis and cancer prognosis (1 paper), Renal cell carcinoma treatment (1 paper), Respiratory Support and Mechanisms (1 paper), Advanced Fiber Optic Sensors (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Virology (39 citations), Infectious Diseases (108 citations), Aerospace Engineering (88 citations), Ocean Engineering (53 citations) and Immunology (61 citations). Junkai Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yang Yu, Hongdong Fan, Kazhong Deng, HW Lee, Kirk A. Easley, Mark J. Mulligan, Rama Rao Amara, Colleen S. Kraft, Greg K. Tharp and Colleen F. Kelley. Their work appears in journals such as Cell Reports, iScience, PLoS ONE, Drug Resistance Updates and Frontiers in Cell and Developmental Biology.
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.