Chen Huang

1.1k citations
40 papers · 730 · h-index 16

Impact in

    • Antibiotic Resistance in Bacteria
    • Vibrio bacteria research studies
    • Enterobacteriaceae and Cronobacter Research

Papers in

Chen Huang

40 papers receiving 727 citations

Peers

Chen Huang
Comparison fields: 5 of 91
  • Molecular Medicine 368
  • Endocrinology 172
  • Applied Microbiology and Biotechnology 28
  • Pollution 138
  • Clinical Biochemistry 50
Replace Kumiko Kawamura with:
Kumiko Kawamura Japan
Andrzej Pałucha Poland
Pannika R. Niumsup Thailand
Joana Sá‐Pessoa United Kingdom
Cristina Lagatolla Italy
Xiangkuo Zheng China
Chen Cha China
Myunghwan Jung South Korea
Marius Linkevičius Sweden
Chen Huang relative to Kumiko Kawamura Japan Kumiko Kawamura's profile →
Citations per field
00.5×1.5×2.2×
Kumiko Kawamura · 1×
Citations per year

Countries citing papers authored by Chen Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chen Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201782
2 201755
3 202053
4 201949
5 202049
6 201743
7 201842
8 201735
9 202234
10 202131
11 202126
12 200723
13 201222
14 202019
15 202118
16 201415
17 201714
18 201912
19 201712
20 202111

About Chen Huang

Chen Huang is a scholar working on Molecular Biology, Epidemiology, Molecular Medicine, Infectious Diseases and Genetics, having authored 40 papers that have together received 730 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (13 papers), Influenza Virus Research Studies (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers), COVID-19 Clinical Research Studies (4 papers), Gut microbiota and health (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Bacterial biofilms and quorum sensing (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Molecular Medicine (368 citations), Endocrinology (172 citations), Applied Microbiology and Biotechnology (28 citations), Pollution (138 citations) and Clinical Biochemistry (50 citations). Chen Huang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lihua Guo, Hao Xu, Yonghong Xiao, Beiwen Zheng, Xiao Yu, Lanjuan Li, Xiawei Jiang, Feng Li, Ping Shen and Yunbo Chen. Their work appears in journals such as Scientific Reports, Infection and Drug Resistance, Journal of Antimicrobial Chemotherapy, Journal of Gastroenterology and Hepatology and Journal of Medical Virology.

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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