Chong Teik Tan

20 total papers · 3.1k total citations
15 papers, 413 citations indexed

About

Chong Teik Tan is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Chong Teik Tan has authored 15 papers receiving a total of 413 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Epidemiology and 6 papers in Cell Biology. Recurrent topics in Chong Teik Tan's work include Ubiquitin and proteasome pathways (6 papers), Cell death mechanisms and regulation (5 papers) and Autophagy in Disease and Therapy (4 papers). Chong Teik Tan is often cited by papers focused on Ubiquitin and proteasome pathways (6 papers), Cell death mechanisms and regulation (5 papers) and Autophagy in Disease and Therapy (4 papers). Chong Teik Tan collaborates with scholars based in Singapore, Canada and United Kingdom. Chong Teik Tan's co-authors include Victor C. Yu, Angeliki Malliri, Hao‐Chun Chang, Nai Yang Fu, Sonia Castillo‐Lluva, Poul H. Sorensen, Mads Daugaard, Duncan L. Smith, Pierce K. H. Chow and Fusheng Guo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Oncogene.

In The Last Decade

Chong Teik Tan

14 papers receiving 410 citations

Author Peers

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

Author						Papers	Cites
Chong Teik Tan	288	91	79	62	62	15	413
Beatrice Conti	214 0.7×	144 1.6×	95 1.2×	61 1.0×	82 1.3×	14	430
Hyunjoo Kwon	275 1.0×	96 1.1×	70 0.9×	77 1.2×	178 2.9×	20	446
N Li	328 1.1×	89 1.0×	92 1.2×	102 1.6×	31 0.5×	13	464
Stacey L. Lehman	260 0.9×	79 0.9×	120 1.5×	80 1.3×	89 1.4×	12	389
Junfei Jin	313 1.1×	73 0.8×	64 0.8×	54 0.9×	58 0.9×	21	455
Twishi Gulati	214 0.7×	187 2.1×	60 0.8×	78 1.3×	87 1.4×	13	459
Alexey Shiryaev	238 0.8×	41 0.5×	58 0.7×	37 0.6×	26 0.4×	12	383
Danilo Piobbico	259 0.9×	46 0.5×	38 0.5×	77 1.2×	97 1.6×	26	435
Céline Chauvin	355 1.2×	61 0.7×	30 0.4×	54 0.9×	89 1.4×	13	462
Rongyang Dai	264 0.9×	124 1.4×	87 1.1×	55 0.9×	119 1.9×	21	437

Countries citing papers authored by Chong Teik Tan

Since Specialization

Citations

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

Fields of papers citing papers by Chong Teik Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chong Teik Tan. 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 Chong Teik Tan. The network helps show where Chong Teik Tan may publish in the future.

Co-authorship network of co-authors of Chong Teik Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Chong Teik Tan. A scholar is included among the top collaborators of Chong Teik Tan 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 Chong Teik Tan. Chong Teik Tan 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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