Xiaojuan Chi

1.6k citations
33 papers · 1.2k · h-index 18

Impact in

    • Cancer-related molecular mechanisms research
  • Immunology top 5%
    • interferon and immune responses
    • Immune Response and Inflammation

Papers in

    • interferon and immune responses 18
    • Immune Response and Inflammation 7
    • Influenza Virus Research Studies 8

Xiaojuan Chi

32 papers receiving 1.2k citations

Peers

Xiaojuan Chi
Comparison fields: 5 of 88
  • Cancer Research 299
  • Immunology 423
  • Agronomy and Crop Science 126
  • Infectious Diseases 186
  • Epidemiology 283
Replace Rodney P. Kincaid with:
Rodney P. Kincaid United States
Jun Luo China
Yongxiu Yao United Kingdom
Jasmine T. Perez United States
Mark A. Chua United States
Koji Onomoto Japan
Trevor R. Sweeney United Kingdom
Yingli Shang China
Kenneth H. Mellits United Kingdom
Tom J. Petty Switzerland
Xiaojuan Chi relative to Rodney P. Kincaid United States Rodney P. Kincaid's profile →
Citations per field
00.5×4.9×
Rodney P. Kincaid · 1×
Citations per year

Countries citing papers authored by Xiaojuan Chi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Xiaojuan Chi Line = papers co-authored together Xiaojuan Chi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014287
2 2010191
3 201394
4 201493
5 201468
6 201451
7 202139
8 201635
9 201731
10 202230
11 201729
12 202328
13 202226
14 202120
15 201719
16 201718
17 201717
18 201817
19 201416
20 201816

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 (18 papers), Influenza Virus Research Studies (8 papers), Immune Response and Inflammation (7 papers), Cancer-related molecular mechanisms research (7 papers), Animal Disease Management and Epidemiology (5 papers), Viral Infections and Vectors (4 papers), Mosquito-borne diseases and control (4 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Cancer Research (299 citations), Immunology (423 citations), Agronomy and Crop Science (126 citations), Infectious Diseases (186 citations) and Epidemiology (283 citations). Xiaojuan Chi has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Ji‐Long Chen, Song Wang, Yongqin David Chen, Haitao Wei, Qinghuang Chen, George F. Gao, Baomin Qi, Shile Huang, Lianfeng Zhang and Yi Zhao. Their work appears in journals such as Frontiers in Microbiology, Veterinary Research, Veterinary Microbiology, PLoS Pathogens and International Journal of Molecular Sciences.

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.

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