Ene‐Choo Tan

3.2k citations
89 papers · 1.8k indexed · h-index 24
Topics
Genomics and Rare Diseases (10 papers)Genomic variations and chromosomal abnormalities (10 papers)Pain Management and Opioid Use (8 papers)

In The Last Decade

Ene‐Choo Tan

85 papers receiving 1.8k citations

Peers

Ene‐Choo Tan
Comparison fields: 5 of 113
  • Anesthesiology and Pain Medicine 396
  • Pediatrics, Perinatology and Child Health 392
  • Molecular Biology 391
  • Genetics 315
  • Psychiatry and Mental health 306
Replace Daisuke Nishizawa with:
Daisuke Nishizawa Japan
Inna E. Tchivileva United States
Katherine Beebe United States
Philip H. Heller United States
Cynthia L. Renn United States
Michael Soyka Switzerland
Rachel L. Kember United States
Masahiko Fujinaga United States
Pádraig Wright United Kingdom
Costanzo Moretti Italy
Ene‐Choo Tan relative to Daisuke Nishizawa Japan Daisuke Nishizawa's profile →
Citations per field
00.5×3.1×
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-authorship network of co-authors of Ene‐Choo Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Ene‐Choo Tan. A scholar is included among the top collaborators of Ene‐Choo 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 Ene‐Choo Tan. Ene‐Choo Tan 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
#WorkIndexed citations
1 1
2 1
3 34
4 6
5 6
6 4
7 1
8 3
9 2
10 25
11 38
12 65
13 12
14 57
15 222
16 74
17 10
18 46
19 146
20 2

About Ene‐Choo Tan

Ene‐Choo Tan is a scholar working on Biological Psychiatry, Anesthesiology and Pain Medicine and Genetics, having authored 89 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (10 papers), Genomic variations and chromosomal abnormalities (10 papers) and Pain Management and Opioid Use (8 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (396 citations), Biological Psychiatry (67 citations) and Psychiatry and Mental health (306 citations). Ene‐Choo Tan has collaborated with scholars based in Singapore, United States and Canada. 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 Journal of Biological Chemistry, Biological Psychiatry and Pain.

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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