Wen Tang

1.4k citations
36 papers · 985 indexed · h-index 15

Wen Tang

36 papers receiving 952 citations

Peers

Wen Tang
Comparison fields: 5 of 87
  • Microbiology 53
  • Infectious Diseases 150
  • Molecular Biology 525
  • Biomedical Engineering 334
  • Endocrinology 35
Replace Myriam Vincent with:
Myriam Vincent Canada
Eiko Fukushima Japan
Khai Luong United States
Mitali Sarkar‐Tyson United Kingdom
Austen Terwilliger United States
B C Kline United States
Narong Arunrut Thailand
Mónica Serrano Portugal
Sally Corden United Kingdom
Tetsu Hase Japan
Wen Tang relative to Myriam Vincent Canada Myriam Vincent's profile →
Citations per field
00.5×1.5×
Myriam Vincent · 1×
Citations per year

Countries citing papers authored by Wen Tang

Since Specialization
Citations

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

Fields of papers citing papers by Wen Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20236
3 20233
4 20227
5 202210
6 202119
7 202015
8 202011
9 202012
10 201914
11 201769
12 201538
13
Methylase Genes-Mediated Erythromycin Resistance in Staphylococcus aureus from Bovine Mastitis in China
20127
14 201046
15 20098
16 200889
17 200762
18 200698
19 200613
20 2005126

About Wen Tang

Wen Tang is a scholar working on Microbiology, Molecular Medicine, Biological Psychiatry, Endocrinology and Infectious Diseases, having authored 36 papers that have together received 985 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Biosensors and Analytical Detection (4 papers), Herpesvirus Infections and Treatments (3 papers), Reproductive Biology and Fertility (2 papers), Reproductive tract infections research (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Microbiology (53 citations), Infectious Diseases (150 citations), Molecular Biology (525 citations), Biomedical Engineering (334 citations) and Endocrinology (35 citations). Wen Tang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Huimin Kong, Jingchu Luo, Qihui Zhu, Yi‐Wei Tang, Tamara A. Ranalli, Timothy Barkham, Hyun‐Jin Kim, Yanhong Tong, Ying‐Fu Zhong and Xiaocheng Gu. Their work appears in journals such as Poultry Science, BMC Infectious Diseases, Emerging infectious diseases, British Journal of Dermatology and Journal of Molecular Diagnostics.

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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