Ene‐Choo Tan

86 papers receiving 1.8k citations

Peers

Ene‐Choo Tan
Comparison fields: 5 of 108
  • Anesthesiology and Pain Medicine 341
  • Biological Psychiatry 51
  • Psychiatry and Mental health 244
  • Pharmacology 139
  • Cellular and Molecular Neuroscience 251
Replace Daisuke Nishizawa with:
Daisuke Nishizawa Japan
Inna E. Tchivileva United States
Philip H. Heller United States
Rachel L. Kember United States
Masahiko Fujinaga United States
Cynthia L. Renn United States
Michael Soyka Switzerland
Costanzo Moretti Italy
Kenneth Opeskin Australia
L. H. Rees United Kingdom
Ene‐Choo Tan relative to Daisuke Nishizawa Japan Daisuke Nishizawa's profile →
Citations per field
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Daisuke Nishizawa · 1×
Citations per year

Countries citing papers authored by Ene‐Choo Tan

Since Specialization
Citations

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

Fields of papers citing papers by Ene‐Choo Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ene‐Choo 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 Ene‐Choo Tan. The network helps show where Ene‐Choo Tan may publish in the future.

Co-authors

The 25 scholars most cited alongside Ene‐Choo 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 Ene‐Choo Tan Line = papers co-authored together Ene‐Choo Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008224
2 2003145
3 2009110
4 200589
5 200875
6 201566
7 200165
8 201057
9 199357
10 200447
11 200045
12 201344
13 200243
14 201340
15 201638
16 202135
17 200933
18 200332
19
Smoking and tardive dyskinesia: lack of involvement of the CYP1A2 gene.
200330
20 200529

About Ene‐Choo Tan

Ene‐Choo Tan is a scholar working on Molecular Biology, Genetics, Cell Biology, Surgery and Cellular and Molecular Neuroscience, having authored 90 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (9 papers), Genomics and Rare Diseases (9 papers), Pain Management and Opioid Use (6 papers), Skin and Cellular Biology Research (6 papers), Chromosomal and Genetic Variations (5 papers), Cell Adhesion Molecules Research (5 papers), Congenital heart defects research (4 papers) and Schizophrenia research and treatment (4 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (341 citations), Biological Psychiatry (51 citations), Psychiatry and Mental health (244 citations), Pharmacology (139 citations) and Cellular and Molecular Neuroscience (251 citations). Ene‐Choo Tan has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Eileen C.P. Lim, Yvonne Lim, Siow‐Ann Chong, Yik‐Ying Teo, Alex Sia, Hai‐Yang Law, Saumya Shekhar Jamuar, Alex Tiong Heng Sia, Eric P.H. Yap and Ruth Landau. Their work appears in journals such as Gene, Biological Psychiatry, International Journal of Obstetric Anesthesia, Pediatric Dermatology and Expert Review of Molecular Diagnostics.

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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