Lichan Chen

2.4k total citations · 1 hit paper
60 papers, 2.0k citations indexed

About

Lichan Chen is a scholar working on Molecular Biology, Materials Chemistry and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Lichan Chen has authored 60 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 23 papers in Materials Chemistry and 14 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Lichan Chen's work include Advanced biosensing and bioanalysis techniques (27 papers), Advanced Photocatalysis Techniques (14 papers) and Carbon and Quantum Dots Applications (13 papers). Lichan Chen is often cited by papers focused on Advanced biosensing and bioanalysis techniques (27 papers), Advanced Photocatalysis Techniques (14 papers) and Carbon and Quantum Dots Applications (13 papers). Lichan Chen collaborates with scholars based in China, United States and Singapore. Lichan Chen's co-authors include Yuwu Chi, Jibin Song, Guonan Chen, Shu‐Feng Zhou, Dong‐Hwan Kim, Lichao Su, Peng Si, Yingmei Chen, Zigang Dong and Ann M. Bode and has published in prestigious journals such as ACS Nano, PLoS ONE and Advanced Functional Materials.

In The Last Decade

Lichan Chen

57 papers receiving 2.0k citations

Hit Papers

Gas-Mediated Cancer Bioimaging and Therapy 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Gas-Mediated Cancer Bioimaging and Therapy
    2019 284 citations Lichan Chen, Shu‐Feng Zhou et al. ACS Nano profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lichan Chen China 21 1.1k 928 774 508 429 60 2.0k
Quanbo Wang China 24 1.2k 1.1× 885 1.0× 556 0.7× 339 0.7× 144 0.3× 54 2.1k
Wen Cao China 23 950 0.9× 1.4k 1.5× 821 1.1× 640 1.3× 198 0.5× 47 2.5k
Xiaodong Zhou China 28 888 0.8× 663 0.7× 589 0.8× 415 0.8× 119 0.3× 66 1.9k
Ruo‐Can Qian China 30 1.5k 1.4× 947 1.0× 970 1.3× 411 0.8× 85 0.2× 89 2.7k
Amin Zhang China 28 1.2k 1.1× 1.0k 1.1× 1.1k 1.4× 407 0.8× 51 0.1× 60 2.4k
Chengyi Xiong China 29 1.4k 1.3× 664 0.7× 674 0.9× 410 0.8× 91 0.2× 43 1.8k
Duanping Sun China 31 1.9k 1.7× 846 0.9× 1.2k 1.5× 659 1.3× 62 0.1× 82 2.9k
Shanshan Li China 22 1.2k 1.1× 2.3k 2.5× 1.4k 1.8× 586 1.2× 242 0.6× 62 3.1k
Xiaofei Xin China 22 419 0.4× 1.4k 1.5× 819 1.1× 373 0.7× 324 0.8× 69 2.9k

Countries citing papers authored by Lichan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lichan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lichan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Lichan Chen. A scholar is included among the top collaborators of Lichan Chen 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 Lichan Chen. Lichan Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Lichan, et al.. (2023). Modulation of afterglow electrochemiluminescence from nitrogen-deficient graphitic carbon nitride by pH. New Journal of Chemistry. 47(37). 17220–17223. 2 indexed citations
2.
Chen, Lichan, et al.. (2023). Afterglow Electrochemiluminescence from Nitrogen-Deficient Graphitic Carbon Nitride. Analytical Chemistry. 95(5). 2917–2924. 21 indexed citations
3.
Chen, Lichan, et al.. (2023). Strategies to improve the electrochemiluminescence performance of graphitic carbon nitride nanomaterials. Journal of Electroanalytical Chemistry. 947. 117784–117784. 3 indexed citations
4.
Zhong, Yuting, et al.. (2022). Functionalized Graphitic Carbon Nitride Nanomaterials for Electrochemiluminescent Detection of Cancer Cells. Journal of The Electrochemical Society. 169(11). 117507–117507. 2 indexed citations
5.
6.
Guo, Tian‐Min, et al.. (2022). Carbon-based dot-capped gold nanoparticles hybridized with manganese dioxide for enhanced photodynamic cancer therapy. New Journal of Chemistry. 47(2). 628–634. 5 indexed citations
7.
Chen, Lichan, et al.. (2022). Modulating the anodic electrochemiluminescence of graphitic carbon nitride by thiophene doping. New Journal of Chemistry. 46(33). 16114–16120. 4 indexed citations
8.
Zhou, Hongzhong, Yiqun Du, Jianning Song, et al.. (2022). DDX56 transcriptionally activates MIST1 to facilitate tumorigenesis of HCC through PTEN-AKT signaling. Theranostics. 12(14). 6069–6087. 15 indexed citations
9.
Wang, Qian, Mingming Chen, Jiaxin Zhang, et al.. (2021). Hybridizing Carbon-Based Dot-Capped Manganese Dioxide Nanosheets and Gold Nanoparticles as a Highly Sensitive Surface-Enhanced Raman Scattering Substrate. Analytical Chemistry. 93(28). 9744–9751. 17 indexed citations
10.
Chen, Lichan, Shu‐Feng Zhou, Lichao Su, & Jibin Song. (2019). Gas-Mediated Cancer Bioimaging and Therapy. ACS Nano. 13(10). 10887–10917. 284 indexed citations breakdown →
11.
Wei, Jingjing, Panpan Zhao, Lichan Chen, et al.. (2019). Electrochemiluminescence for Characterizing the Polymerization Process during Graphitic Carbon Nitride Synthesis. ChemElectroChem. 6(14). 3742–3746. 9 indexed citations
12.
Chen, Lichan, Jingjing Wei, Yuwu Chi, & Shu‐Feng Zhou. (2019). Tris(2,2’‐bipyridyl)ruthenium(II)‐Nanomaterial Co‐Reactant Electrochemiluminescence. ChemElectroChem. 6(15). 3878–3884. 26 indexed citations
13.
Feng, Yingying, Haishan Wu, Jingjing Wei, Lichan Chen, & Yuwu Chi. (2018). Detection of divalent copper with improved accuracy by dual suppression of electrochemiluminescent recovery. Journal of Electroanalytical Chemistry. 834. 145–149. 4 indexed citations
14.
Chen, Lichan, et al.. (2018). Evaluating the Remote Control of Programmed Cell Death, with or without a Compensatory Cell Proliferation. International Journal of Biological Sciences. 14(13). 1800–1812. 10 indexed citations
15.
Chen, Lichan, Ann M. Bode, & Zigang Dong. (2017). Circulating Tumor Cells: Moving Biological Insights into Detection. Theranostics. 7(10). 2606–2619. 98 indexed citations
16.
17.
Wang, Gangshi, et al.. (2016). Learning about the Importance of Mutation Prevention from Curable Cancers and Benign Tumors. Journal of Cancer. 7(4). 436–445. 14 indexed citations
18.
19.
Dong, Yongqiang, Yuwu Chi, Xiaomei Lin, et al.. (2011). Nano-sized platinum as a mimic of uricase catalyzing the oxidative degradation of uric acid. Physical Chemistry Chemical Physics. 13(13). 6319–6319. 38 indexed citations
20.
Chi, Yuwu, et al.. (2009). Determination of thyreostatics in animal feeds by CE with electrochemical detector. Electrophoresis. 30(19). 3489–3495. 9 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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