Chong Kiat Tan

2.7k citations
48 papers · 2.4k indexed · h-index 21

Chong Kiat Tan

46 papers receiving 2.3k citations

Peers

Chong Kiat Tan
Comparison fields: 5 of 84
  • Inorganic Chemistry 1.5k
  • Organic Chemistry 2.0k
  • Toxicology 117
  • Pharmacology 191
  • Pharmaceutical Science 125
Replace Xuebin Liao with:
Xuebin Liao China
Philippe Dauban France
Darı́o Doller United States
Christopher S. Burgey United States
François Carreaux France
Chunxiang Kuang China
Nicholas R. Natale United States
Toshiaki Mase Japan
Puwen Zhang United States
Amy B. Dounay United States
Chong Kiat Tan relative to Xuebin Liao China Xuebin Liao's profile →
Citations per field
00.5×4.4×
Xuebin Liao · 1×
Citations per year

Countries citing papers authored by Chong Kiat Tan

Since Specialization
Citations

This map shows the geographic impact of Chong Kiat 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 Kiat 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 Kiat Tan more than expected).

Fields of papers citing papers by Chong Kiat Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Chong Kiat Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chong Kiat Tan Line = papers co-authored together Chong Kiat Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 2013211
3 2012154
4 201293
5 2012108
6 201111
7 2011126
8 20096
9 200214
10 19963
11 19954
12 19955
13 199068
14 19904
15 19895
16 198813
17 19864
18
Experimental degeneration of primary afferent terminals in the cuneate nucleus of the monkey (Macaca fascicularis).
197914
19 197823
20 19774

About Chong Kiat Tan

Chong Kiat Tan is a scholar working on Inorganic Chemistry, Developmental Neuroscience and Cellular and Molecular Neuroscience, having authored 48 papers that have together received 2.4k indexed citations. Recurring topics across this work include Vanadium and Halogenation Chemistry (18 papers), Oxidative Organic Chemistry Reactions (13 papers), Neuroscience and Neuropharmacology Research (11 papers), Chemical Synthesis and Reactions (11 papers), Catalytic C–H Functionalization Methods (4 papers), Neurobiology and Insect Physiology Research (4 papers), Axon Guidance and Neuronal Signaling (3 papers) and Cholinesterase and Neurodegenerative Diseases (3 papers). The work is most often cited by research in Inorganic Chemistry (1.5k citations), Organic Chemistry (2.0k citations) and Toxicology (117 citations). Chong Kiat Tan has collaborated with scholars based in Singapore, France and Taiwan. Frequent co-authors include Ying‐Yeung Yeung, Ling Zhou, Feng Chen, Xiaojian Jiang, Jie Chen, Zhihai Ke, Chencheng Le, Jing Zhou, Wesley Zongrong Yu and K V Ratnam. Their work appears in journals such as Journal of the American Chemical Society, Organic Letters, Chemical Communications, Tetrahedron Letters and Journal of Neurocytology.

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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