Linglu Yi

428 citations
16 papers · 380 · h-index 11

Impact in

    • Biosensors and Analytical Detection
    • Microfluidic and Capillary Electrophoresis Applications
    • 3D Printing in Biomedical Research
    • Microfluidic and Bio-sensing Technologies
    • Innovative Microfluidic and Catalytic Techniques Innovation
    • Immunotherapy and Immune Responses

Papers in

    • Molecular Biology Techniques and Applications 3
    • Advanced biosensing and bioanalysis techniques 3
    • Ubiquitin and proteasome pathways 1

Linglu Yi

16 papers receiving 377 citations

Peers

Linglu Yi
Comparison fields: 5 of 57
  • Biomedical Engineering 196
  • Immunology 61
  • Genetics 29
  • Molecular Biology 194
  • Oncology 69
Replace N. F. Grinenko with:
N. F. Grinenko Russia
Tara L. Deans United States
Marta Guerra‐Rebollo Spain
Huajian Chen China
Carolyn R. Shurer United States
Ali Rafat Iran
Michelle Miller United States
Cassandra Stowe United Kingdom
Charles J. Garson United States
Kornelia Schriebl Austria
Linglu Yi relative to N. F. Grinenko Russia N. F. Grinenko's profile →
Citations per field
00.5×1.5×
N. F. Grinenko · 1×
Citations per year

Countries citing papers authored by Linglu Yi

Since Specialization
Citations

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

Fields of papers citing papers by Linglu Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201959
2 201755
3 201450
4 201746
5 201838
6 201725
7 202023
8 201520
9 201517
10 201413
11 201711
12 20249
13 20177
14 20224
15 20252
16 20161

About Linglu Yi

Linglu Yi is a scholar working on Molecular Biology, Oncology, Biomedical Engineering, Immunology and Cancer Research, having authored 16 papers that have together received 380 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), 3D Printing in Biomedical Research (2 papers), Bacteriophages and microbial interactions (2 papers), Glioma Diagnosis and Treatment (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Click Chemistry and Applications (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Biomedical Engineering (196 citations), Immunology (61 citations), Genetics (29 citations), Molecular Biology (194 citations) and Oncology (69 citations). Linglu Yi has collaborated with scholars based in China, Germany and Japan. Frequent co-authors include Jin‐Ming Lin, Haifang Li, Sifeng Mao, Xuexia Lin, Ziyi He, Ling Lin, Wanling Zhang, Mingsha Jie, Zhixiong Lin and Qiushui Chen. Their work appears in journals such as The Analyst, Biosensors and Bioelectronics, Talanta, PLoS ONE and Analytical Chemistry.

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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