Meiling Chen

2.5k citations
95 papers · 1.8k · h-index 21

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Antimicrobial Resistance in Staphylococcus
    • SARS-CoV-2 detection and testing
  • Soil Science top 10%
    • Soil Carbon and Nitrogen Dynamics

Papers in

Meiling Chen

91 papers receiving 1.7k citations

Peers

Meiling Chen
Comparison fields: 5 of 158
  • Infectious Diseases 463
  • Soil Science 136
  • General Dentistry 20
  • Molecular Medicine 56
  • Modeling and Simulation 41
Replace Peng Peng with:
Peng Peng China
Qi Wang China
Christopher O’Callaghan United Kingdom
Jung‐Sheng Chen Taiwan
Werner Bischoff United States
Fang‐Liang Huang Taiwan
Luís Rey Brazil
Kaisen Lin United States
Xiaoyu Zhao China
Meiling Chen relative to Peng Peng China Peng Peng's profile →
Citations per field
00.5×2×3×4×4.7×
Peng Peng · 1×
Citations per year

Countries citing papers authored by Meiling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Meiling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020163
2 2013159
3 2022129
4 2004121
5 2008120
6 200481
7 200763
8 201557
9 201254
10 202246
11 198137
12 201035
13 201734
14 202233
15 201329
16 202426
17 200725
18 201824
19 201722
20 200822

About Meiling Chen

Meiling Chen is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Molecular Biology, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 95 papers that have together received 1.8k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), HIV-related health complications and treatments (4 papers), Respiratory Support and Mechanisms (3 papers), Cancer survivorship and care (3 papers), HIV/AIDS drug development and treatment (3 papers), Childhood Cancer Survivors' Quality of Life (3 papers) and Plant Ecology and Soil Science (3 papers). The work is most often cited by research in Infectious Diseases (463 citations), Soil Science (136 citations), General Dentistry (20 citations), Molecular Medicine (56 citations) and Modeling and Simulation (41 citations). Meiling Chen has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Yee‐Chun Chen, Hsien‐Kun Chang, Chien‐Hui Yang, Shan‐Chwen Chang, Chih‐Teng Yu, Zhouping Shangguan, Jann‐Tay Wang, Kaibo Wang, Lei Deng and Sandra Sweeney. Their work appears in journals such as Journal of Microbiology Immunology and Infection, JAIDS Journal of Acquired Immune Deficiency Syndromes, Journal of Antimicrobial Chemotherapy, Renal Failure and Scientific Reports.

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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