Wei Cheng

5.1k citations
91 papers · 2.9k indexed · 1 hit paper · h-index 24

Impact in

    • RNA modifications and cancer
    • Inflammasome and immune disorders
    • Plant Reproductive Biology
    • Cancer-related gene regulation
    • SARS-CoV-2 and COVID-19 Research

Papers in

Wei Cheng

82 papers receiving 2.9k citations

Hit Papers

Structural biology of SARS-CoV-2: open the door for novel therapies 2022 · 184 citations
184202220262023202450100150

Peers

Wei Cheng
Comparison fields: 5 of 149
  • Molecular Biology 1.6k
  • Infectious Diseases 423
  • Molecular Medicine 86
  • Plant Science 587
  • Immunology 308
Replace Nachimuthu Senthil Kumar with:
Nachimuthu Senthil Kumar India
Bei Jiang China
Mohammad Saeid Hejazi Iran
Takashi Suzuki Japan
Hyun Lee United States
Yiqun Deng China
Feifei Chen China
Bing He China
Ying Li China
Wei Cheng relative to Nachimuthu Senthil Kumar India Nachimuthu Senthil Kumar's profile →
Citations per field
00.5×1.5×1.8×
Nachimuthu Senthil Kumar · 1×
Citations per year

Countries citing papers authored by Wei Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Wei Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Wei Cheng, 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 Wei Cheng Line = papers co-authored together Wei Cheng 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 20244
5 202418
6 20242
7 202321
8 202320
9 202261
10 20218
11 202111
12 20218
13 202051
14 2020214
15 202014
16 201917
17 20195
18 201810
19 201517
20
RESEARCH ON KNOWLEDGE BASED GRADE CROSSING MULTI-PHASE SIGNAL DESIGN THEORY
20031

About Wei Cheng

Wei Cheng is a scholar working on Infectious Diseases, Molecular Medicine, Endocrinology, Molecular Biology and Aging, having authored 91 papers that have together received 2.9k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Enzyme Structure and Function (6 papers), CRISPR and Genetic Engineering (5 papers), Bacteriophages and microbial interactions (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Bacterial Genetics and Biotechnology (5 papers), Bacterial biofilms and quorum sensing (4 papers) and Antibiotic Resistance in Bacteria (4 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Infectious Diseases (423 citations), Molecular Medicine (86 citations), Plant Science (587 citations) and Immunology (308 citations). Wei Cheng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jijie Chai, Jinjing Wang, Weikai Li, Zhifu Han, Junbiao Chang, Xiao‐Tao Zeng, Weizhu Yan, Yanhui Zheng, Bin He and Mingyan Zhao. Their work appears in journals such as Nature Communications, Signal Transduction and Targeted Therapy, International Journal of Infectious Diseases, Science and Frontiers in Public Health.

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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