Xiaojuan Chi
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Immunology top 10%
- interferon and immune responses
- Immune Response and Inflammation
Papers in
- Immunology 20
- interferon and immune responses 19
- Immune Response and Inflammation 7
- Epidemiology 14
- Influenza Virus Research Studies 9
- Co-authors
- Ji‐Long Chen (30 shared papers)Song Wang (27 shared papers)Yun Chen (7 shared papers)Haitao Wei (5 shared papers)Qinghuang Chen (2 shared papers)George F. Gao (2 shared papers)Baomin Qi (2 shared papers)Shile Huang (7 shared papers)
- Journals
- Frontiers in Microbiology (4 papers)PLoS Pathogens (3 papers)Veterinary Research (3 papers)Veterinary Microbiology (3 papers)Microbial Pathogenesis (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaojuan Chi
32 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 89
- Cancer Research 303
- Immunology 424
- Agronomy and Crop Science 127
- Infectious Diseases 187
- Epidemiology 293
Countries citing papers authored by Xiaojuan Chi
This map shows the geographic impact of Xiaojuan 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 Xiaojuan Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojuan Chi more than expected).
Fields of papers citing papers by Xiaojuan Chi
This network shows the impact of papers produced by Xiaojuan 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 Xiaojuan Chi. The network helps show where Xiaojuan Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojuan 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 282 | |
| 2 | 2010 | 190 | |
| 3 | 2013 | 93 | |
| 4 | 2014 | 92 | |
| 5 | 2014 | 67 | |
| 6 | 2014 | 51 | |
| 7 | 2021 | 37 | |
| 8 | 2016 | 35 | |
| 9 | 2017 | 31 | |
| 10 | 2017 | 28 | |
| 11 | 2022 | 28 | |
| 12 | 2023 | 25 | |
| 13 | 2022 | 23 | |
| 14 | 2017 | 19 | |
| 15 | 2021 | 18 | |
| 16 | 2018 | 17 | |
| 17 | 2017 | 17 | |
| 18 | 2017 | 17 | |
| 19 | 2018 | 16 | |
| 20 | 2014 | 16 |
About Xiaojuan Chi
Xiaojuan Chi is a scholar working on Immunology, Epidemiology, Molecular Biology, Cancer Research and Infectious Diseases, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include interferon and immune responses (19 papers), Influenza Virus Research Studies (9 papers), Cancer-related molecular mechanisms research (7 papers), Immune Response and Inflammation (7 papers), Animal Disease Management and Epidemiology (5 papers), Viral Infections and Immunology Research (4 papers), Viral Infections and Vectors (4 papers) and Mosquito-borne diseases and control (4 papers). The work is most often cited by research in Cancer Research (303 citations), Immunology (424 citations), Agronomy and Crop Science (127 citations), Infectious Diseases (187 citations) and Epidemiology (293 citations). Xiaojuan Chi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ji‐Long Chen, Song Wang, Yun Chen, Haitao Wei, Qinghuang Chen, George F. Gao, Baomin Qi, Shile Huang, Guoshun Wang and Lianfeng Zhang. Their work appears in journals such as Frontiers in Microbiology, PLoS Pathogens, Veterinary Research, Veterinary Microbiology and Microbial Pathogenesis.
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.