Xiaojing Chi
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- Hepatology top 10%
- Hepatitis C virus research
Papers in
- Epidemiology 13
- Virology and Viral Diseases 4
- Hepatitis B Virus Studies 4
- Herpesvirus Infections and Treatments 3
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- SARS-CoV-2 and COVID-19 Research 5
- Co-authors
- Wei Yang (20 shared papers)Xiuying Liu (20 shared papers)Jingjing Fan (6 shared papers)Yuqiang Niu (7 shared papers)Min Cheng (6 shared papers)Xinhui Zhang (7 shared papers)Jianwei Wang (2 shared papers)Jin Zhong (3 shared papers)
- Journals
- Journal of Virology (4 papers)Frontiers in Immunology (3 papers)Antiviral Research (3 papers)PLoS ONE (3 papers)Journal of Medical Virology (2 papers)
- Partner nations
- ChinaUnited StatesIndonesia
In The Last Decade
Xiaojing Chi
31 papers receiving 607 citations
Peers
Comparison fields: 5 of 75
- Infectious Diseases 164
- Hepatology 55
- Cancer Research 103
- Immunology 117
- Virology 25
Countries citing papers authored by Xiaojing Chi
This map shows the geographic impact of Xiaojing Chi'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 Xiaojing Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojing Chi more than expected).
Fields of papers citing papers by Xiaojing Chi
This network shows the impact of papers produced by Xiaojing Chi. 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 Xiaojing Chi. The network helps show where Xiaojing Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojing Chi, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 108 | |
| 2 | 2015 | 88 | |
| 3 | 2017 | 80 | |
| 4 | 2019 | 44 | |
| 5 | 2019 | 40 | |
| 6 | 2022 | 40 | |
| 7 | 2013 | 23 | |
| 8 | 2017 | 20 | |
| 9 | 2019 | 18 | |
| 10 | 2022 | 13 | |
| 11 | 2016 | 12 | |
| 12 | 2018 | 12 | |
| 13 | 2015 | 11 | |
| 14 | 2023 | 11 | |
| 15 | 2011 | 11 | |
| 16 | 2018 | 10 | |
| 17 | 2015 | 9 | |
| 18 | 2017 | 8 | |
| 19 | 2016 | 8 | |
| 20 | 2023 | 6 |
About Xiaojing Chi
Xiaojing Chi is a scholar working on Epidemiology, Infectious Diseases, Immunology, Molecular Biology and Hepatology, having authored 31 papers that have together received 612 indexed citations. Recurring topics across this work include Hepatitis C virus research (7 papers), interferon and immune responses (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Virology and Viral Diseases (4 papers), Hepatitis B Virus Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), HIV Research and Treatment (4 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Infectious Diseases (164 citations), Hepatology (55 citations), Cancer Research (103 citations), Immunology (117 citations) and Virology (25 citations). Xiaojing Chi has collaborated with scholars based in China, United States and Indonesia. Frequent co-authors include Wei Yang, Xiuying Liu, Jingjing Fan, Yuqiang Niu, Min Cheng, Xinhui Zhang, Jianwei Wang, Jin Zhong, Lili Ren and Qi Jin. Their work appears in journals such as Journal of Virology, Frontiers in Immunology, Antiviral Research, PLoS ONE and Journal of Medical 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.