Soon-Eng Tan

887 citations
13 papers · 722 · h-index 12

Impact in

Papers in

Soon-Eng Tan

13 papers receiving 690 citations

Peers

Soon-Eng Tan
Comparison fields: 5 of 72
  • Cellular and Molecular Neuroscience 568
  • Cognitive Neuroscience 248
  • Neurology 98
  • Developmental Neuroscience 42
  • Behavioral Neuroscience 27
Replace Theodore M. Moallem with:
Theodore M. Moallem United States
Graham L. Collingridge United Kingdom
Birgit Hauer Austria
R. Jork Germany
Brandi L. Soldo United States
Peter Miu Canada
Gabriella Stocca Italy
Denis Umbriaco Canada
Carl Weitlauf United States
E Campana Italy
Soon-Eng Tan relative to Theodore M. Moallem United States Theodore M. Moallem's profile →
Citations per field
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Theodore M. Moallem · 1×
Citations per year

Countries citing papers authored by Soon-Eng Tan

Since Specialization
Citations

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

Fields of papers citing papers by Soon-Eng Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soon-Eng 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 Soon-Eng Tan. The network helps show where Soon-Eng Tan may publish in the future.

Co-authors

The 9 scholars most cited alongside Soon-Eng 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 Soon-Eng Tan Line = papers co-authored together Soon-Eng Tan links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1993370
2 198960
3 199652
4 199446
5 200744
6 199441
7 199726
8 199020
9 200717
10 200815
11 199712
12 200311
13 20088

About Soon-Eng Tan

Soon-Eng Tan is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Social Psychology and Pediatrics, Perinatology and Child Health, having authored 13 papers that have together received 722 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (12 papers), Memory and Neural Mechanisms (11 papers), Neural dynamics and brain function (3 papers), Ion channel regulation and function (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Neuroendocrine regulation and behavior (2 papers), Zebrafish Biomedical Research Applications (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (568 citations), Cognitive Neuroscience (248 citations), Neurology (98 citations), Developmental Neuroscience (42 citations) and Behavioral Neuroscience (27 citations). Soon-Eng Tan has collaborated with scholars based in Taiwan, United States and New Zealand. Frequent co-authors include Thomas R. Soderling, Hideyuki Yamamoto, Debra A. Brickey, Keng‐Chen Liang, Charles K. Meshul, Neil McNaughton, Hideko Yamamoto, Kohji Fukunaga and Wickliffe C. Abraham. Their work appears in journals such as Brain Research, Behavioural Pharmacology, Psychopharmacology, Nature and Neurotoxicology and Teratology.

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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