Xi Gou

4.7k citations
7 papers · 3.0k · 1 hit paper · h-index 5

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 2%
    • Long-Term Effects of COVID-19

Papers in

    • Cancer Immunotherapy and Biomarkers 2
    • CAR-T cell therapy research 1
    • Immunotherapy and Immune Responses 2

Xi Gou

6 papers receiving 2.9k citations

Xi Gou's Hit Papers

Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis 2020 · 2.9k citations
2.9k0+2+4Years since publication50010001.5k2.0k2.5k

Peers

Xi Gou
Comparison fields: 5 of 157
  • Infectious Diseases 1.5k
  • Neurology 661
  • Modeling and Simulation 209
  • Oncology 394
  • Clinical Psychology 276
Replace Ya Zheng with:
Ya Zheng China
Ke Pu China
Qinghong Guo China
Zhaofeng Chen China
Xiang Dong China
Yiyuan Cao China
Awadhesh Kumar Singh India
Youqin Yan China
Amer Harky United Kingdom
Ellen O. Boundy United States
Xi Gou relative to Ya Zheng China Ya Zheng's profile →
Citations per field
00.5×1.5×2.1×
Ya Zheng · 1×
Citations per year

Countries citing papers authored by Xi Gou

Since Specialization
Citations

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

Fields of papers citing papers by Xi Gou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Xi Gou, 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 Xi Gou Line = papers co-authored together Xi Gou links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1
Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis
Hit paper breakdown →
20202864
2 201872
3 201845
4 202410
5 202310
6 20211
7 20250

About Xi Gou

Xi Gou is a scholar working on Oncology, Immunology, Organic Chemistry, Molecular Biology and Health, Toxicology and Mutagenesis, having authored 7 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (2 papers), Immunotherapy and Immune Responses (2 papers), Water Treatment and Disinfection (1 paper), vaccines and immunoinformatics approaches (1 paper), Chemical Analysis and Environmental Impact (1 paper), Environmental remediation with nanomaterials (1 paper), Antibiotic Resistance in Bacteria (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Infectious Diseases (1.5k citations), Neurology (661 citations), Modeling and Simulation (209 citations), Oncology (394 citations) and Clinical Psychology (276 citations). Xi Gou has collaborated with scholars based in China, Switzerland and Canada. Frequent co-authors include Jing Yang, Ke Pu, Haojia Wang, Zhaofeng Chen, Yuping Wang, Yongning Zhou, Rui Ji, Ya Zheng, Qinghong Guo and Yanhua Xie. Their work appears in journals such as Human Vaccines & Immunotherapeutics, Process Safety and Environmental Protection, International Journal of Infectious Diseases, Journal of Biological Chemistry and Annals of Medicine.

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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