Gexin Liu

445 citations
10 papers · 262 · h-index 7

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • Entomopathogenic Microorganisms in Pest Control

Papers in

    • Advanced biosensing and bioanalysis techniques 1
    • Machine Learning in Bioinformatics 1
    • Biochemical and Structural Characterization 1
    • SARS-CoV-2 and COVID-19 Research 4

Gexin Liu

8 papers receiving 260 citations

Peers

Gexin Liu
Comparison fields: 5 of 59
  • Infectious Diseases 151
  • Insect Science 44
  • Animal Science and Zoology 27
  • Molecular Biology 120
  • Modeling and Simulation 8
Replace Xiaorui Xing with:
Xiaorui Xing China
Simon Dökel Germany
Debajit Dey India
Christopher Rothwell Switzerland
Antonin Tidu France
Dong Guo China
Ren Yang China
Andrei E. Siniavin Russia
Gexin Liu relative to Xiaorui Xing China Xiaorui Xing's profile →
Citations per field
00.5×
Xiaorui Xing · 1×
Citations per year

Countries citing papers authored by Gexin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Gexin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2021131
2 201639
3 201937
4 202117
5 202015
6 201912
7 20217
8 20214
9 20250
10 20230

About Gexin Liu

Gexin Liu is a scholar working on Molecular Biology, Infectious Diseases, Insect Science, Organic Chemistry and Surgery, having authored 10 papers that have together received 262 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Insect Utilization and Effects (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Machine Learning in Bioinformatics (1 paper), interferon and immune responses (1 paper), Biochemical and Structural Characterization (1 paper), Insect Pest Control Strategies (1 paper) and Plant and Fungal Interactions Research (1 paper). The work is most often cited by research in Infectious Diseases (151 citations), Insect Science (44 citations), Animal Science and Zoology (27 citations), Molecular Biology (120 citations) and Modeling and Simulation (8 citations). Gexin Liu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Zhenglin Zhu, Kaiwen Meng, Geng Meng, Pan Dong, Beibei Fu, Haitao Luo, Na Xing, Weiwei Xue, Xiaoyuan Lin and Haibo Wu. Their work appears in journals such as Insects, Database, Cell Host & Microbe, Genome Biology and Evolution and Science Advances.

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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