Phyllis Chua

4.4k citations
48 papers · 3.0k · h-index 26

Impact in

Papers in

Phyllis Chua

47 papers receiving 3.0k citations

Peers

Phyllis Chua
Comparison fields: 5 of 125
  • Cognitive Neuroscience 1.2k
  • Cellular and Molecular Neuroscience 1.0k
  • Neurology 837
  • Experimental and Cognitive Psychology 507
  • Behavioral Neuroscience 136
Replace Reiner Sprengelmeyer with:
Reiner Sprengelmeyer United Kingdom
Marcus Heldmann Germany
Anne J. Blood United States
Louis Richer Canada
Jeffrey P. Lorberbaum United States
D J Cohen United States
Kevin Larcher Canada
Xiaosi Gu United States
Pino Alonso Spain
Susannah C. Walker United Kingdom
Phyllis Chua relative to Reiner Sprengelmeyer United Kingdom Reiner Sprengelmeyer's profile →
Citations per field
00.5×1.5×
Reiner Sprengelmeyer · 1×
Citations per year

Countries citing papers authored by Phyllis Chua

Since Specialization
Citations

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

Fields of papers citing papers by Phyllis Chua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010396
2 1999379
3 1999274
4 1999224
5 2000180
6 2011112
7 201486
8 201282
9 201581
10 200680
11 201476
12 200676
13 201374
14 201273
15 201464
16 200956
17 201355
18 200555
19 200753
20 201352

About Phyllis Chua

Phyllis Chua is a scholar working on Cellular and Molecular Neuroscience, Neurology, Cognitive Neuroscience, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 48 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (30 papers), Neurological disorders and treatments (23 papers), Functional Brain Connectivity Studies (8 papers), Mitochondrial Function and Pathology (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Neural and Behavioral Psychology Studies (5 papers) and Neurology and Historical Studies (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Cellular and Molecular Neuroscience (1.0k citations), Neurology (837 citations), Experimental and Cognitive Psychology (507 citations) and Behavioral Neuroscience (136 citations). Phyllis Chua has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Raymond J. Dolan, Julie C. Stout, Andrew Churchyard, Nellie Georgiou‐Karistianis, Richard D. Lane, Gary F. Egan, Paul C. Fletcher, Govinda Poudel, Juan F. Domínguez D and Markus Heinrichs. Their work appears in journals such as NeuroImage, Psychiatry Research Neuroimaging, Journal of Neurology Neurosurgery & Psychiatry, Australian & New Zealand Journal of Psychiatry and PLoS ONE.

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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