Xia Cai

2.0k citations
15 papers · 698 indexed · h-index 9

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Viral gastroenteritis research and epidemiology

Papers in

    • Escherichia coli research studies 4
    • Viral gastroenteritis research and epidemiology 4
    • SARS-CoV-2 and COVID-19 Research 4
    • COVID-19 Clinical Research Studies 3
    • SARS-CoV-2 detection and testing 2

Xia Cai

15 papers receiving 694 citations

Peers

Xia Cai
Comparison fields: 5 of 85
  • Infectious Diseases 405
  • Endocrinology 34
  • Immunology 119
  • Animal Science and Zoology 56
  • Molecular Medicine 22
Replace Anna Gołda with:
Anna Gołda Poland
Yingying Hong China
Dandan Dong China
Oanh Pham United States
Natalie Fischer Belgium
Michael J. Elmore United Kingdom
Man Teng China
Céline Leboeuf Switzerland
Yuki Yoshida Japan
Xia Cai relative to Anna Gołda Poland Anna Gołda's profile →
Citations per field
00.5×2.7×
Anna Gołda · 1×
Citations per year

Countries citing papers authored by Xia Cai

Since Specialization
Citations

This map shows the geographic impact of Xia Cai'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 Xia Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Cai more than expected).

Fields of papers citing papers by Xia Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xia Cai. 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 Xia Cai. The network helps show where Xia Cai may publish in the future.

Co-authors

The 25 scholars most cited alongside Xia Cai, 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 Xia Cai Line = papers co-authored together Xia Cai links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20251
2 20251
3 20244
4 20242
5 202215
6 2021165
7 20214
8 202014
9 202040
10 2020140
11 202041
12 2020193
13 201838
14 20138
15 201132

About Xia Cai

Xia Cai is a scholar working on Endocrinology, Infectious Diseases, General Dentistry, Molecular Medicine and Animal Science and Zoology, having authored 15 papers that have together received 698 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Escherichia coli research studies (4 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 detection and testing (2 papers), Animal Virus Infections Studies (2 papers), Infection Control and Ventilation (2 papers) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Infectious Diseases (405 citations), Endocrinology (34 citations), Immunology (119 citations), Animal Science and Zoology (56 citations) and Molecular Medicine (22 citations). Xia Cai has collaborated with scholars based in China, Saint Kitts and Nevis and Japan. Frequent co-authors include Di Qu, Youhua Xie, Chenjian Gu, Wei Xu, Lu Lu, Shibo Jiang, Shuai Xia, Zhenghong Yuan, Lang Rao and Xiaohong Chen. Their work appears in journals such as Frontiers in Microbiology, Nature Communications, Journal of Medical Virology, Biomedicines and Cell Discovery.

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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