Ling Chen

2.1k citations
107 papers · 1.5k · h-index 24

Impact in

    • Microbial infections and disease research
  • Genetics top 5%
    • Forensic and Genetic Research
    • Genetic diversity and population structure

Papers in

    • Molecular Biology Techniques and Applications 26
    • Gut microbiota and health 7
    • Forensic and Genetic Research 32
    • Genetic diversity and population structure 9

Ling Chen

99 papers receiving 1.5k citations

Peers

Ling Chen
Comparison fields: 5 of 121
  • Microbiology 106
  • Genetics 400
  • Biological Psychiatry 24
  • Molecular Biology 676
  • Neurology 113
Replace Susana Castro‐Obregón with:
Susana Castro‐Obregón Mexico
Yara Cury Brazil
Graham Coutts United Kingdom
Xiaoxiao Zhang China
Valery Filippov United States
Xiang Zhou China
Sanjaya Kuruppu Australia
Dana R. Crawford United States
Hiroto Komano Japan
Ling Chen relative to Susana Castro‐Obregón Mexico Susana Castro‐Obregón's profile →
Citations per field
00.5×2.8×
Susana Castro‐Obregón · 1×
Citations per year

Countries citing papers authored by Ling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202089
2 201673
3 201062
4 201856
5 202154
6 200247
7 200845
8 201342
9 201441
10 201939
11 202239
12 201138
13 201837
14 201936
15 201835
16 201931
17 202031
18 201430
19 201728
20 201827

About Ling Chen

Ling Chen is a scholar working on Molecular Biology, Genetics, Epidemiology, Ecology and Microbiology, having authored 107 papers that have together received 1.5k indexed citations. Recurring topics across this work include Forensic and Genetic Research (32 papers), Molecular Biology Techniques and Applications (26 papers), Autophagy in Disease and Therapy (16 papers), Genetic diversity and population structure (9 papers), Gut microbiota and health (7 papers), Forensic Anthropology and Bioarchaeology Studies (6 papers), Parkinson's Disease Mechanisms and Treatments (6 papers) and Injury Epidemiology and Prevention (4 papers). The work is most often cited by research in Microbiology (106 citations), Genetics (400 citations), Biological Psychiatry (24 citations), Molecular Biology (676 citations) and Neurology (113 citations). Ling Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Pingming Qiu, Chao Liu, Enping Huang, Weian Du, Wei‐Bing Xie, Huijun Wang, Weibin Wu, Graham S. Poindexter, Guanglin Luo and Changhui Liu. Their work appears in journals such as International Journal of Legal Medicine, Legal Medicine, Forensic Science International Genetics, Frontiers in Pharmacology and Electrophoresis.

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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