Yan Huang

6.6k citations
141 papers · 5.7k indexed · h-index 45
    • Advanced biosensing and bioanalysis techniques 82
    • RNA Interference and Gene Delivery 23
    • DNA and Nucleic Acid Chemistry 13
    • Advanced Nanomaterials in Catalysis 14
    • Nanocluster Synthesis and Applications 13
    • Carbon and Quantum Dots Applications 9
    • Biosensors and Analytical Detection 14
    • Nanoplatforms for cancer theranostics 9

Yan Huang

136 papers receiving 5.5k citations

Peers

Yan Huang
Comparison fields: 5 of 147
  • Insect Science 610
  • Electrochemistry 284
  • Molecular Biology 2.9k
  • Materials Chemistry 2.0k
  • Biomedical Engineering 1.5k
Replace Lucjan Strękowski with:
Lucjan Strękowski United States
Ja‐an Annie Ho Taiwan
Qiang Ma China
Yong Shao China
Seyed Mohammad Taghdisi Iran
Qi Xiao China
Noor Mohammad Danesh Iran
Lixin Xia China
Jinyi Yang China
Yan Huang relative to Lucjan Strękowski United States Lucjan Strękowski's profile →
Citations per field
00.5×
Lucjan Strękowski · 1×
Citations per year

Countries citing papers authored by Yan Huang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20257
3 20251
4 20251
5 20243
6 202127
7 202165
8 2017132
9 20145
10 2014156
11 201487
12 2014106
13 201338
14 20130
15 201383
16 201381
17 201244
18 201137
19 200752
20 2000122

About Yan Huang

Yan Huang is a scholar working on Molecular Biology, Electrochemistry and Bioengineering, having authored 141 papers that have together received 5.7k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (82 papers), RNA Interference and Gene Delivery (23 papers), Advanced Nanomaterials in Catalysis (14 papers), Biosensors and Analytical Detection (14 papers), Nanocluster Synthesis and Applications (13 papers), DNA and Nucleic Acid Chemistry (13 papers), Nanoplatforms for cancer theranostics (9 papers) and Carbon and Quantum Dots Applications (9 papers). The work is most often cited by research in Insect Science (610 citations), Electrochemistry (284 citations) and Molecular Biology (2.9k citations). Yan Huang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Zhou Nie, Shouzhuo Yao, Shiaw Hooi Ho, Chunyang Lei, Manli Guo, Wang Li, Sam Fong Yau Li, Zhuoliang Liu, Xiaohua Zhu and Kaiyu He. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Angewandte Chemie International Edition.

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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