Cheong‐Meng Chong

53 total papers · 1.3k total citations
38 papers, 924 citations indexed

About

Cheong‐Meng Chong is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Cheong‐Meng Chong has authored 38 papers receiving a total of 924 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 7 papers in Neurology. Recurrent topics in Cheong‐Meng Chong's work include Parkinson's Disease Mechanisms and Treatments (5 papers), Autophagy in Disease and Therapy (5 papers) and Nuclear Receptors and Signaling (4 papers). Cheong‐Meng Chong is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (5 papers), Autophagy in Disease and Therapy (5 papers) and Nuclear Receptors and Signaling (4 papers). Cheong‐Meng Chong collaborates with scholars based in Macao, China and Singapore. Cheong‐Meng Chong's co-authors include Wenhua Zheng, Huanxing Su, Nana Ai, Simon Ming‐Yuen Lee, Hai‐Jing Zhong, Jiahong Lu, Yitao Wang, Zhijian Huang, Dajiang Qin and Xiaoxu Liang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The EMBO Journal and PLoS ONE.

In The Last Decade

Cheong‐Meng Chong

35 papers receiving 916 citations

Hit Papers

Polyvinyl Alcohol (PVA)-B... 2024 2026 2024 20 40 60

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Cheong‐Meng Chong 364 143 142 127 126 38 924
Ji Hyun Choi 456 1.3× 132 0.9× 125 0.9× 150 1.2× 173 1.4× 42 1.1k
Qamre Alam 430 1.2× 177 1.2× 130 0.9× 104 0.8× 100 0.8× 51 1.0k
Yang Yang 354 1.0× 172 1.2× 105 0.7× 124 1.0× 65 0.5× 41 926
Teng Guan 520 1.4× 182 1.3× 190 1.3× 103 0.8× 88 0.7× 38 1.1k
Houng‐Chi Liou 545 1.5× 217 1.5× 228 1.6× 160 1.3× 142 1.1× 30 1.2k
Simona Damiano 426 1.2× 262 1.8× 121 0.9× 92 0.7× 143 1.1× 46 1.2k
Long Wang 389 1.1× 112 0.8× 88 0.6× 101 0.8× 98 0.8× 74 1.0k
Fei Fei 591 1.6× 100 0.7× 138 1.0× 136 1.1× 75 0.6× 69 1.2k
Xiansi Zeng 552 1.5× 217 1.5× 119 0.8× 194 1.5× 226 1.8× 34 1.1k
James Raymick 301 0.8× 268 1.9× 147 1.0× 148 1.2× 204 1.6× 32 807

Countries citing papers authored by Cheong‐Meng Chong

Since Specialization
Citations

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

Fields of papers citing papers by Cheong‐Meng Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheong‐Meng Chong. 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 Cheong‐Meng Chong. The network helps show where Cheong‐Meng Chong may publish in the future.

Co-authorship network of co-authors of Cheong‐Meng Chong

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

All Works

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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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