Ling Chen

2.0k citations
105 papers · 1.4k · 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 28
    • Gut microbiota and health 8
    • Forensic and Genetic Research 34
    • Genetic diversity and population structure 11
    • Race, Genetics, and Society 5

Ling Chen

97 papers receiving 1.4k citations

Peers

Ling Chen
Comparison fields: 5 of 120
  • Microbiology 110
  • Genetics 387
  • Biological Psychiatry 27
  • Molecular Biology 726
  • Neurology 68
Replace Susana Castro‐Obregón with:
Susana Castro‐Obregón Mexico
Hiroto Komano Japan
Jinghuan Wang China
Yara Cury Brazil
Graham Coutts United Kingdom
Ayako Yamamoto Japan
Xiang Zhou China
Valery Filippov United States
Li Ding China
Ling Chen relative to Susana Castro‐Obregón Mexico Susana Castro‐Obregón's profile →
Citations per field
00.5×2.7×
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 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202086
2 201671
3 201061
4 201854
5 202152
6 200243
7 200842
8 201341
9 201439
10 201938
11 202238
12 201136
13 201835
14 201935
15 201835
16 201931
17 202030
18 201428
19 201827
20 201727

About Ling Chen

Ling Chen is a scholar working on Molecular Biology, Genetics, Epidemiology, Ecology and Neurology, having authored 105 papers that have together received 1.4k indexed citations. Recurring topics across this work include Forensic and Genetic Research (34 papers), Molecular Biology Techniques and Applications (28 papers), Autophagy in Disease and Therapy (17 papers), Genetic diversity and population structure (11 papers), Gut microbiota and health (8 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), Forensic Anthropology and Bioarchaeology Studies (7 papers) and Race, Genetics, and Society (5 papers). The work is most often cited by research in Microbiology (110 citations), Genetics (387 citations), Biological Psychiatry (27 citations), Molecular Biology (726 citations) and Neurology (68 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, Huijun Wang, Wei‐Bing Xie, Weibin Wu, Changhui Liu, Guanglin Luo and Bofeng Zhu. Their work appears in journals such as International Journal of Legal Medicine, Legal Medicine, Electrophoresis, Frontiers in Pharmacology and Forensic Science International Genetics.

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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