Lulin Yan

817 total citations
11 papers, 739 citations indexed

About

Lulin Yan is a scholar working on Materials Chemistry, Biomedical Engineering and Spectroscopy. According to data from OpenAlex, Lulin Yan has authored 11 papers receiving a total of 739 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Materials Chemistry, 5 papers in Biomedical Engineering and 4 papers in Spectroscopy. Recurrent topics in Lulin Yan's work include Luminescence and Fluorescent Materials (6 papers), Molecular Sensors and Ion Detection (4 papers) and Nanoplatforms for cancer theranostics (4 papers). Lulin Yan is often cited by papers focused on Luminescence and Fluorescent Materials (6 papers), Molecular Sensors and Ion Detection (4 papers) and Nanoplatforms for cancer theranostics (4 papers). Lulin Yan collaborates with scholars based in China, Australia and Singapore. Lulin Yan's co-authors include Wenjing Tian, Bin Xu, Yan Zhang, Jiaqi Tong, Anjun Qin, Ben Zhong Tang, Han Nie, Jing Zhi Sun, Ming Chen and Lingzhi Li and has published in prestigious journals such as ACS Applied Materials & Interfaces, Nanoscale and Chemical Science.

In The Last Decade

Lulin Yan

11 papers receiving 730 citations

Peers

Lulin Yan

MC

SPECT

BE

EEE

OC

Andrew T. Turley United Kingdom

Ziya Köstereli Türkiye

Yong-Tao Wang China

Vishal Kachwal India

Wanle Sheng China

Yuyang Zhang China

Cliferson Thivierge United States

Sarah J. Payne United States

Laure Bonardi France

Andrew T. Turley United Kingdom

Lulin Yan

441 ×0.7

MC

139 ×0.4

SPECT

135 ×0.6

BE

152 ×0.7

EEE

148 ×1.3

OC

Citations per year, relative to Lulin Yan Lulin Yan (= 1×) peers Andrew T. Turley

Countries citing papers authored by Lulin Yan

Since Specialization

Citations

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

Fields of papers citing papers by Lulin Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lulin Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Lulin Yan. A scholar is included among the top collaborators of Lulin Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lulin Yan. Lulin Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Liu, Guo Jun, Lulin Yan, Shihui Wen, et al.. (2019). Aiegen Based Poly(L-Lactic-Co-Glycolic Acid) Magnetic Nanoparticles to Localize Cytokine VEGF for Early Cancer Diagnosis and Photothermal Therapy. Nanomedicine. 14(9). 1191–1201. 12 indexed citations

2.

Alifu, Nuernisha, Lulin Yan, Abudureheman Zebibula, et al.. (2017). Organic dye doped nanoparticles with NIR emission and biocompatibility for ultra-deep in vivo two-photon microscopy under 1040 nm femtosecond excitation. Dyes and Pigments. 143. 76–85. 33 indexed citations

3.

Yan, Lulin, et al.. (2016). Efficient Near-infrared AIE Nanoparticles for Cell Imaging. Acta Chimica Sinica. 74(11). 917–917. 7 indexed citations

4.

Yan, Lulin, et al.. (2016). Multifunctional polymer nanoparticles: ultra bright near-infrared fluorescence and strong magnetization and their biological applications. RSC Advances. 6(70). 65426–65433. 6 indexed citations

5.

Zhang, Yan, Kaiwen Chang, Bin Xu, et al.. (2015). Highly efficient near-infrared organic dots based on novel AEE fluorogen for specific cancer cell imaging. RSC Advances. 5(46). 36837–36844. 21 indexed citations

6.

Zheng, Enqiang, Xiaofeng Wang, Jiaxing Song, et al.. (2015). PbI₂-Based Dipping-Controlled Material Conversion for Compact Layer Free Perovskite Solar Cells. ACS Applied Materials & Interfaces. 7(32). 18156–18162. 71 indexed citations

7.

Yan, Lulin, Yan Zhang, Bin Xu, & Wenjing Tian. (2015). Fluorescent nanoparticles based on AIE fluorogens for bioimaging. Nanoscale. 8(5). 2471–2487. 237 indexed citations

8.

Yao, Shiyu, Zhaolai Chen, Fenghong Li, et al.. (2015). High-Efficiency Aqueous-Solution-Processed Hybrid Solar Cells Based on P3HT Dots and CdTe Nanocrystals. ACS Applied Materials & Interfaces. 7(13). 7146–7152. 27 indexed citations

9.

Chen, Ming, Lingzhi Li, Han Nie, et al.. (2014). Tetraphenylpyrazine-based AIEgens: facile preparation and tunable light emission. Chemical Science. 6(3). 1932–1937. 259 indexed citations

10.

Wang, Zilong, Lulin Yan, Lei Zhang, et al.. (2014). Ultra bright red AIE dots for cytoplasm and nuclear imaging. Polymer Chemistry. 5(24). 7013–7020. 48 indexed citations

11.

Li, Xing, Ke Ma, Hongguang Lu, et al.. (2013). Highly sensitive determination of ssDNA and real-time sensing of nuclease activity and inhibition based on the controlled self-assembly of a 9,10-distyrylanthracene probe. Analytical and Bioanalytical Chemistry. 406(3). 851–858. 18 indexed citations

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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