Wei‐Hua Chen

7.7k citations
90 papers · 4.1k indexed · 2 hit papers · h-index 30

Wei‐Hua Chen

88 papers receiving 4.1k citations

Hit Papers

Rapid Detection of COVID-19 Coronavirus Using a Reve...3352016202620192022100200300400500

Peers

Wei‐Hua Chen
Comparison fields: 5 of 163
  • Molecular Biology 2.6k
  • Microbiology 169
  • Infectious Diseases 483
  • Ecology 626
  • Molecular Medicine 116
Replace Thomas Schmidt with:
Thomas Schmidt Switzerland
Marius van den Beek France
François Chevenet France
Sylvain Buffet France
Yuzhen Ye United States
Jennifer Hillman‐Jackson United States
Aysam Guerler Germany
Jin Wang China
Valentin Guignon France
David S. Horner Italy
Wei‐Hua Chen relative to Thomas Schmidt Switzerland Thomas Schmidt's profile →
Citations per field
00.5×1.7×
Thomas Schmidt · 1×
Citations per year

Countries citing papers authored by Wei‐Hua Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐Hua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202410
2 20242
3 20242
4 202256
5 20227
6 202053
7 20187
8 201810
9 201673
10
Evolview v2: an online visualization and management tool for customized and annotated phylogenetic treesbreakdown →
2016509
11 201420
12 2013338
13
Differences Between and Cluster Analysis of Heavy Metal Contents in Tobacco Leaves from Ten Tobacco Producing Provinces in China
20123
14 201217
15 2012361
16 201197
17 201118
18 20112
19 2009324
20 200844

About Wei‐Hua Chen

Wei‐Hua Chen is a scholar working on Molecular Biology, Ceramics and Composites and Ecology, having authored 90 papers that have together received 4.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (19 papers), RNA and protein synthesis mechanisms (12 papers), Gut microbiota and health (12 papers), Bacteriophages and microbial interactions (8 papers), CRISPR and Genetic Engineering (7 papers), Bioinformatics and Genomic Networks (6 papers), Diet and metabolism studies (5 papers) and Advanced materials and composites (4 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Microbiology (169 citations) and Infectious Diseases (483 citations). Wei‐Hua Chen has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Martin J. Lercher, Songnian Hu, Huangkai Zhang, Shenghan Gao, Peer Bork, Zilong He, Xing‐Ming Zhao, Xiaowen Hao, Guanting Lu and Xue Dong. Their work appears in journals such as Science, Nucleic Acids Research and Nature Communications.

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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