Long‐Can Mei

656 total citations
29 papers, 534 citations indexed

About

Long‐Can Mei is a scholar working on Molecular Biology, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Long‐Can Mei has authored 29 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Materials Chemistry and 6 papers in Biomedical Engineering. Recurrent topics in Long‐Can Mei's work include Protein Structure and Dynamics (6 papers), RNA and protein synthesis mechanisms (6 papers) and Nanoplatforms for cancer theranostics (6 papers). Long‐Can Mei is often cited by papers focused on Protein Structure and Dynamics (6 papers), RNA and protein synthesis mechanisms (6 papers) and Nanoplatforms for cancer theranostics (6 papers). Long‐Can Mei collaborates with scholars based in China, Montenegro and Hong Kong. Long‐Can Mei's co-authors include Guang‐Fu Yang, Yao Sun, Ge‐Fei Hao, Chonglu Li, Wen‐Chao Yang, Shiyu Liu, Jun Yin, Ji Hyeon Kim, Qian Li and Junrong Li and has published in prestigious journals such as Angewandte Chemie International Edition, Advanced Functional Materials and Analytical Chemistry.

In The Last Decade

Long‐Can Mei

26 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Long‐Can Mei China 11 182 168 157 80 76 29 534
Mickael Le Béchec France 16 130 0.7× 189 1.1× 151 1.0× 90 1.1× 95 1.3× 40 640
Shijun Qian China 16 99 0.5× 336 2.0× 153 1.0× 60 0.8× 258 3.4× 43 808
José P. Leite Portugal 10 95 0.5× 133 0.8× 144 0.9× 21 0.3× 22 0.3× 20 478
Yurou Huang China 12 283 1.6× 178 1.1× 329 2.1× 119 1.5× 47 0.6× 19 700
Spomenka Kovač Croatia 15 76 0.4× 192 1.1× 166 1.1× 70 0.9× 71 0.9× 33 726
Lal Mohan Kundu India 14 110 0.6× 267 1.6× 171 1.1× 67 0.8× 126 1.7× 32 649
Utkarsh Kapoor United States 11 106 0.6× 175 1.0× 92 0.6× 60 0.8× 22 0.3× 18 573
José G. Sampedro Mexico 16 116 0.6× 412 2.5× 77 0.5× 23 0.3× 155 2.0× 32 737
Yongheng Duan China 11 99 0.5× 123 0.7× 88 0.6× 48 0.6× 75 1.0× 17 471

Countries citing papers authored by Long‐Can Mei

Since Specialization
Citations

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

Fields of papers citing papers by Long‐Can Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long‐Can Mei. 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 Long‐Can Mei. The network helps show where Long‐Can Mei may publish in the future.

Co-authorship network of co-authors of Long‐Can Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Long‐Can Mei. A scholar is included among the top collaborators of Long‐Can Mei 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 Long‐Can Mei. Long‐Can Mei 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.
Mei, Long‐Can, Fan Wang, Chen Li-jun, et al.. (2025). HTD : a targetome database for plant physiology and regulation in HPPD family. New Phytologist. 246(1). 12–17.
2.
Pang, Yida, Ting Liu, Qian Li, et al.. (2025). Rationally designed sonocatalyst-enhanced supramolecular ferroptosis inducers for effective cancer therapy. Chemical Science. 16(42). 19632–19643.
4.
Mei, Long‐Can, Hong‐Yan Lin, Zhao Chen, et al.. (2024). Expression, purification, and characterization of transmembrane protein homogentisate solanesyltransferase. Applied Microbiology and Biotechnology. 108(1). 256–256. 1 indexed citations
5.
Liu, Shiyu, Long‐Can Mei, Peng Xu, et al.. (2024). Fluorescence imaging opens a new window for the diagnosis of early-stage Alzheimer's disease. Biosensors and Bioelectronics. 271. 117051–117051.
6.
Yao, Zeyi, Yangtao Liu, Jiahui Hou, et al.. (2024). Structure-Modified Anode Material for Regenerable Organic Potassium-Ion Batteries. ACS Sustainable Chemistry & Engineering. 12(39). 14472–14481. 2 indexed citations
7.
Liu, Yangtao, Zeyi Yao, Panawan Vanaphuti, et al.. (2023). Stable fast-charging sodium-ion batteries achieved by a carbomethoxy-modified disodium organic material. Cell Reports Physical Science. 4(2). 101240–101240. 17 indexed citations
8.
Mei, Long‐Can, Ge‐Fei Hao, & Guang‐Fu Yang. (2023). Protein–nucleic acid thermodynamic databases for specific uses. Trends in biotechnology. 41(8). 990–991. 3 indexed citations
9.
Tu, Le, Chonglu Li, Xiaoxing Xiong, et al.. (2023). Engineered Metallacycle‐Based Supramolecular Photosensitizers for Effective Photodynamic Therapy. Angewandte Chemie. 135(15). 10 indexed citations
10.
Li, Chonglu, Xiaoxing Xiong, Ji Hyeon Kim, et al.. (2023). Engineered Metallacycle‐Based Supramolecular Photosensitizers for Effective Photodynamic Therapy. Angewandte Chemie International Edition. 62(15). e202301560–e202301560. 89 indexed citations
11.
Liu, Shiyu, Jin Dong, Hong‐Yan Lin, et al.. (2022). In vivo diagnostics of abiotic plant stress responses via in situ real-time fluorescence imaging. PLANT PHYSIOLOGY. 190(1). 196–201. 19 indexed citations
12.
Mei, Long‐Can, Ge‐Fei Hao, & Guang‐Fu Yang. (2022). Thermodynamic database supports deciphering protein–nucleic acid interactions. Trends in biotechnology. 41(2). 140–143. 5 indexed citations
13.
Mei, Long‐Can, et al.. (2022). Conformational adjustment overcomes multiple drug-resistance mutants of tropomyosin receptor kinase. European Journal of Medicinal Chemistry. 237. 114406–114406. 4 indexed citations
14.
Mei, Long‐Can, et al.. (2022). Pesticide Informatics Platform (PIP): An International Platform for Pesticide Discovery, Residue, and Risk Evaluation. Journal of Agricultural and Food Chemistry. 70(22). 6617–6623. 38 indexed citations
15.
Mei, Long‐Can, et al.. (2021). Web resources facilitate drug discovery in treatment of COVID-19. Drug Discovery Today. 26(10). 2358–2366. 4 indexed citations
16.
Mei, Long‐Can, Fengxu Wu, Ge‐Fei Hao, & Guang‐Fu Yang. (2021). Protocol for hit-to-lead optimization of compounds by auto in silico ligand directing evolution (AILDE) approach. STAR Protocols. 2(1). 100312–100312. 9 indexed citations
17.
Wang, Wenjie, et al.. (2021). Expanding the Chemical Space of Succinate Dehydrogenase Inhibitors via the Carbon–Silicon Switch Strategy. Journal of Agricultural and Food Chemistry. 69(13). 3965–3971. 55 indexed citations
18.
Song, Qianqian, Long‐Can Mei, Pingping Xu, et al.. (2020). Spreading of benquitrione droplets on superhydrophobic leaves through pillar[5]arene-based host–guest chemistry. Chemical Communications. 56(55). 7593–7596. 23 indexed citations
19.
Chen, Mo‐Xian, Long‐Can Mei, Fan Wang, et al.. (2020). PlantSPEAD: a web resource towards comparatively analysing stress‐responsive expression of splicing‐related proteins in plant. Plant Biotechnology Journal. 19(2). 227–229. 48 indexed citations
20.
Mei, Long‐Can, Yanping Zhou, Lizhe Zhu, et al.. (2018). Site-Mutation of Hydrophobic Core Residues Synchronically Poise Super Interleukin 2 for Signaling: Identifying Distant Structural Effects through Affordable Computations. International Journal of Molecular Sciences. 19(3). 916–916. 3 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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