Suzanne Goh

949 citations
20 papers · 688 · h-index 14

Impact in

Papers in

Suzanne Goh

20 papers receiving 681 citations

Peers

Suzanne Goh
Comparison fields: 5 of 103
  • Cognitive Neuroscience 334
  • Biological Psychiatry 18
  • Neurology 51
  • Psychiatry and Mental health 81
  • Physiology 21
Replace Francesco Cardona with:
Francesco Cardona Italy
Elizabeth L. Johnson United States
Tracy Warner Australia
K. Van Laere Belgium
Pilar López-García Spain
James M. Krueger United States
Masahiro Hata Japan
Arun Sasidharan India
Masayuki Tani Japan
Tianye Jia China
Suzanne Goh relative to Francesco Cardona Italy Francesco Cardona's profile →
Citations per field
00.5×1.5×2.1×
Francesco Cardona · 1×
Citations per year

Countries citing papers authored by Suzanne Goh

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Goh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne Goh. 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 Suzanne Goh. The network helps show where Suzanne Goh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2014123
2 2014110
3 201787
4 201143
5 200238
6 201236
7 201336
8 201432
9 201629
10 201828
11 201325
12 201519
13 201317
14 201917
15 201412
16 201412
17 202111
18 201310
19 20162
20 20131

About Suzanne Goh

Suzanne Goh is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Clinical Psychology, Developmental and Educational Psychology and Infectious Diseases, having authored 20 papers that have together received 688 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (9 papers), Functional Brain Connectivity Studies (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Advanced MRI Techniques and Applications (3 papers), Behavioral and Psychological Studies (2 papers), Obsessive-Compulsive Spectrum Disorders (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (334 citations), Biological Psychiatry (18 citations), Neurology (51 citations), Psychiatry and Mental health (81 citations) and Physiology (21 citations). Suzanne Goh has collaborated with scholars based in United States, United Kingdom and Nepal. Frequent co-authors include Bradley S. Peterson, Andrei Irimia, John D. Van Horn, Carinna M. Torgerson, Yudong Zhang, Zhengchao Dong, Salvatore DiMauro, Ravi Bansal, Zhishun Wang and Yuankai Huo. Their work appears in journals such as Human Brain Mapping, Biological Psychiatry, Clinical Neurology and Neurosurgery, Journal of Child Psychology and Psychiatry and Frontiers in Neuroinformatics.

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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