Fei Guo

5.5k citations
100 papers · 4.1k indexed · 1 hit paper · h-index 32

Impact in

  • Virology top 0.5%
    • HIV Research and Treatment
    • SARS-CoV-2 and COVID-19 Research
    • HIV/AIDS drug development and treatment
    • COVID-19 Clinical Research Studies

Papers in

    • HIV Research and Treatment 43
    • HIV/AIDS drug development and treatment 25
    • SARS-CoV-2 and COVID-19 Research 9

Fei Guo

97 papers receiving 4.0k citations

Hit Papers

Activation and evasion of type I interferon responses by SARS-CoV-2 2020 · 692 citations
6922020202620222024200400600

Peers

Fei Guo
Comparison fields: 5 of 108
  • Virology 1.5k
  • Infectious Diseases 1.6k
  • Immunology 1.3k
  • Business and International Management 112
  • Molecular Biology 1.8k
Replace Nicholas S. Heaton with:
Nicholas S. Heaton United States
Damian F. J. Purcell Australia
Philip J. Kranzusch United States
Eleftherios Michailidis United States
Kenzo Tokunaga Japan
Felipe Diaz‐Griffero United States
William M. Schneider United States
Wei-Shau Hu United States
Vinay K. Pathak United States
Tatsuo Shioda Japan
Fei Guo relative to Nicholas S. Heaton United States Nicholas S. Heaton's profile →
Citations per field
00.5×3.6×
Nicholas S. Heaton · 1×
Citations per year

Countries citing papers authored by Fei Guo

Since Specialization
Citations

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

Fields of papers citing papers by Fei Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20247
5 202316
6 202342
7 202242
8 20226
9 202275
10 20211
11 202166
12 20211
13 20203
14 201947
15 201610
16 201598
17 2013265
18 201226
19 20112
20 200760

About Fei Guo

Fei Guo is a scholar working on Virology, Infectious Diseases, Immunology, Business and International Management and Hepatology, having authored 100 papers that have together received 4.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (43 papers), interferon and immune responses (26 papers), HIV/AIDS drug development and treatment (25 papers), CRISPR and Genetic Engineering (12 papers), Immune Cell Function and Interaction (9 papers), RNA modifications and cancer (9 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Hepatitis C virus research (8 papers). The work is most often cited by research in Virology (1.5k citations), Infectious Diseases (1.6k citations), Immunology (1.3k citations), Business and International Management (112 citations) and Molecular Biology (1.8k citations). Fei Guo has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Shan Cen, Lawrence Kleiman, Meijuan Niu, Chen Liang, Jenan Saadatmand, Fengwen Xu, Jianwei Wang, Xiaoyu Li, Qinghua Pan and Lili Ren. Their work appears in journals such as Journal of Virology, Retrovirology, Scientific Reports, Journal of Biological Chemistry and 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.

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