Lu Yan

904 citations
22 papers · 767 indexed · h-index 16

Impact in

    • Graphene and Nanomaterials Applications
    • Nanoplatforms for cancer theranostics
    • Graphene research and applications
    • Carbon and Quantum Dots Applications
    • Advanced Nanomaterials in Catalysis
    • Nanoparticles: synthesis and applications

Papers in

Lu Yan

21 papers receiving 759 citations

Peers

Lu Yan
Comparison fields: 5 of 78
  • Biomedical Engineering 469
  • Materials Chemistry 417
  • Biomaterials 111
  • Electrochemistry 31
  • Polymers and Plastics 67
Replace Vladimir A. Sinani with:
Vladimir A. Sinani United States
Yit Lung Khung Taiwan
Yuan Nie United States
Jules J. VanDersarl United States
Youqian Xu China
Congyu Wu China
Marta Álvarez Germany
Pooja Bajaj United States
Sandra Vranic United Kingdom
Chih-Wen Lin Taiwan
Lu Yan relative to Vladimir A. Sinani United States Vladimir A. Sinani's profile →
Citations per field
00.5×8.3×
Vladimir A. Sinani · 1×
Citations per year

Countries citing papers authored by Lu Yan

Since Specialization
Citations

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

Fields of papers citing papers by Lu Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201299
2 201698
3 201286
4 202054
5 201952
6 201651
7 201946
8 201542
9 201638
10 202035
11 201531
12 201922
13 201322
14 201921
15 202019
16 201816
17 201413
18 20118
19 20187
20 20226

About Lu Yan

Lu Yan is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Electrochemistry, Biomedical Engineering and Materials Chemistry, having authored 22 papers that have together received 767 indexed citations. Recurring topics across this work include Graphene and Nanomaterials Applications (10 papers), Neuroscience and Neural Engineering (7 papers), Advanced biosensing and bioanalysis techniques (5 papers), Electrochemical sensors and biosensors (4 papers), Nanoplatforms for cancer theranostics (4 papers), Graphene research and applications (4 papers), Carbon and Quantum Dots Applications (3 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Biomedical Engineering (469 citations), Materials Chemistry (417 citations), Biomaterials (111 citations), Electrochemistry (31 citations) and Polymers and Plastics (67 citations). Lu Yan has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yong Liu, Liming Dai, Mimi Lin, Chao Zeng, Tom Lawson, Bingxin Zhao, Yaping Wang, Zhi Chen, Haiyan Shi and Suyan Shan. Their work appears in journals such as Advanced Healthcare Materials, International Journal of Molecular Sciences, ACS Biomaterials Science & Engineering, Advanced Materials Technologies and Materials Science and Engineering C.

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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