Linlin Tang

2.3k citations
82 papers · 1.9k indexed · h-index 23

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 16
    • RNA Interference and Gene Delivery 13
    • DNA and Nucleic Acid Chemistry 6
    • Epigenetics and DNA Methylation 5
    • Metabolism, Diabetes, and Cancer 4

Linlin Tang

76 papers receiving 1.9k citations

Peers

Linlin Tang
Comparison fields: 5 of 119
  • Surfaces, Coatings and Films 247
  • Biomaterials 225
  • Electrochemistry 72
  • Molecular Biology 734
  • Bioengineering 56
Replace Yu Song with:
Yu Song China
Zhenqiang Wang China
Yibo Liu China
Yang Lü China
Huawu Shao China
Cerasela Zoica Dinu United States
Myoung‐Hwan Park South Korea
Zhongming Huang China
Dong Wan China
Jingwen Song China
Linlin Tang relative to Yu Song China Yu Song's profile →
Citations per field
00.5×1.5×1.8×
Yu Song · 1×
Citations per year

Countries citing papers authored by Linlin Tang

Since Specialization
Citations

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

Fields of papers citing papers by Linlin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 20244
5 20241
6 20239
7 20235
8 20239
9 202243
10 20211
11 20159
12 201521
13 20147
14 201429
15 201410
16 2013165
17 201332
18 201314
19 200934
20 200925

About Linlin Tang

Linlin Tang is a scholar working on Molecular Biology, Toxicology, Surfaces, Coatings and Films, Electrochemistry and Biomaterials, having authored 82 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (16 papers), RNA Interference and Gene Delivery (13 papers), Electrochemical sensors and biosensors (6 papers), DNA and Nucleic Acid Chemistry (6 papers), Perovskite Materials and Applications (5 papers), Epigenetics and DNA Methylation (5 papers), Metabolism, Diabetes, and Cancer (4 papers) and Molecular Junctions and Nanostructures (4 papers). The work is most often cited by research in Surfaces, Coatings and Films (247 citations), Biomaterials (225 citations), Electrochemistry (72 citations), Molecular Biology (734 citations) and Bioengineering (56 citations). Linlin Tang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xiuzhen Han, Jin Wang, Nan Huang, Yajun Weng, Qiufen Tu, Yarui An, Litong Jin, Xiaoli Jiang, Ru Shen and Chongxi Jiang. Their work appears in journals such as Angewandte Chemie International Edition, Gene, Biomedicine & Pharmacotherapy, Expert Opinion on Drug Safety and Diagnostic Pathology.

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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