Linlin Tang

2.4k citations
79 papers · 2.0k · h-index 24

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 4
    • Electrochemical sensors and biosensors 6
    • Perovskite Materials and Applications 5

Linlin Tang

76 papers receiving 2.0k citations

Peers

Linlin Tang
Comparison fields: 5 of 118
  • Surfaces, Coatings and Films 245
  • Biomaterials 225
  • Electrochemistry 75
  • Molecular Biology 713
  • Bioengineering 60
Replace Yu Song with:
Yu Song China
Zhenqiang Wang China
Cerasela Zoica Dinu United States
Huawu Shao China
Dong Wan China
Yi Lu China
Myoung‐Hwan Park South Korea
Zhongming Huang China
Isabelle Pignot‐Paintrand France
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-authors

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

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010194
2 2013194
3 2013169
4 2012154
5 202094
6 201792
7 202156
8 201455
9 201453
10 202048
11 201448
12 202246
13 201940
14 201138
15 201637
16 200935
17 202135
18 201334
19 201733
20 201431

About Linlin Tang

Linlin Tang is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry and Organic Chemistry, having authored 79 papers that have together received 2.0k 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), Conducting polymers and applications (4 papers), Epigenetics and DNA Methylation (4 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). The work is most often cited by research in Surfaces, Coatings and Films (245 citations), Biomaterials (225 citations), Electrochemistry (75 citations), Molecular Biology (713 citations) and Bioengineering (60 citations). Linlin Tang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xiuzhen Han, Nan Huang, Jin Wang, Yajun Weng, Qiufen Tu, Yarui An, Litong Jin, Xiaoli Jiang, Wen Zhang and Chuangui Wang. Their work appears in journals such as Gene, Angewandte Chemie International Edition, Biosensors and Bioelectronics, physica status solidi (a) and Expert Opinion on Drug Safety.

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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