Wei Feng

4.1k citations
95 papers · 2.9k indexed · 2 hit papers · h-index 27

Wei Feng

88 papers receiving 2.8k citations

Hit Papers

CRISPR technology incorporating amplification strategies:...232202120262022202450100150200

Peers

Wei Feng
Comparison fields: 5 of 147
  • Molecular Medicine 264
  • Infectious Diseases 518
  • Catalysis 178
  • Molecular Biology 1.6k
  • Microbiology 134
Replace Rongzhang Hao with:
Rongzhang Hao China
António J. Almeida Portugal
Fang Zhang China
Sudaxshina Murdan United Kingdom
Henan Li China
Mohammad Reza Pourmand Iran
Guangxing Li China
Rita G. Sobral Portugal
Alina Maria Holban Romania
Gianluigi Franci Italy
Wei Feng relative to Rongzhang Hao China Rongzhang Hao's profile →
Citations per field
00.5×10×12.7×
Rongzhang Hao · 1×
Citations per year

Countries citing papers authored by Wei Feng

Since Specialization
Citations

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

Fields of papers citing papers by Wei Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20251
4 20250
5 20242
6 20236
7 20233
8 202325
9 20228
10 202132
11 202112
12 2020296
13 2020210
14 20206
15 201947
16 201748
17 20172
18 201627
19
Identification of Cordyceps sinensis from Cordyceps gunnii based on ITS analysis
20151
20
Antitumor effects of the fibroblastes transfected TNF-#alpha# gene and its mutants
20031

About Wei Feng

Wei Feng is a scholar working on Molecular Medicine, Endocrinology and Acoustics and Ultrasonics, having authored 95 papers that have together received 2.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (15 papers), Bacterial biofilms and quorum sensing (13 papers), Advanced biosensing and bioanalysis techniques (13 papers), CRISPR and Genetic Engineering (10 papers), Biosensors and Analytical Detection (8 papers), DNA and Nucleic Acid Chemistry (5 papers), Catalytic Processes in Materials Science (5 papers) and SARS-CoV-2 detection and testing (5 papers). The work is most often cited by research in Molecular Medicine (264 citations), Infectious Diseases (518 citations) and Catalysis (178 citations). Wei Feng has collaborated with scholars based in China, Canada and United States. Frequent co-authors include X. Chris Le, Hongquan Zhang, Hanyong Peng, Fengjun Sun, D. Lorne Tyrrell, Bo Pang, Yiren Cao, Wei Huang, Jinjun Wu and Jeffrey Tao. Their work appears in journals such as Analytical Chemistry, Scientific Reports, Analytical Biochemistry, Protein Expression and Purification and Chemical Engineering Journal.

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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