Daniel Chew

1.4k citations
44 papers · 1.0k · h-index 21

Impact in

Papers in

Daniel Chew

43 papers receiving 1.0k citations

Peers

Daniel Chew
Comparison fields: 5 of 91
  • Cellular and Molecular Neuroscience 645
  • Neurology 193
  • Developmental Neuroscience 90
  • Cognitive Neuroscience 260
  • Endocrine and Autonomic Systems 51
Replace Polina Shkorbatova with:
Polina Shkorbatova Russia
Tarun Saxena United States
Meritxell Vivó Spain
Eduardo Martin Moraud Switzerland
Quentin Barraud Switzerland
Jack DiGiovanna Switzerland
Natalia Lago Spain
Natalia Pavlova Russia
Marco Capogrosso Switzerland
Victor Pikov United States
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Citations per field
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Polina Shkorbatova · 1×
Citations per year

Countries citing papers authored by Daniel Chew

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Chew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201398
2 201670
3 201363
4 201559
5 201257
6 201849
7 201748
8 201746
9 202143
10 201239
11 201835
12 202134
13 201833
14 201229
15 200827
16 202026
17 201526
18 201125
19 202124
20 202023

About Daniel Chew

Daniel Chew is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Biomedical Engineering, Neurology and Molecular Biology, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (21 papers), EEG and Brain-Computer Interfaces (13 papers), Nerve injury and regeneration (9 papers), Vagus Nerve Stimulation Research (9 papers), Muscle activation and electromyography studies (9 papers), Neural dynamics and brain function (5 papers), Spinal Cord Injury Research (5 papers) and Urinary Bladder and Prostate Research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (645 citations), Neurology (193 citations), Developmental Neuroscience (90 citations), Cognitive Neuroscience (260 citations) and Endocrine and Autonomic Systems (51 citations). Daniel Chew has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include James W. Fawcett, Stéphanie P. Lacour, Thomas Carlstedt, Peter Shortland, Ivan R. Minev, Evangelos Delivopoulos, Melissa R. Andrews, Nick Donaldson, Matteo Donegà and Katherine M. Musick. Their work appears in journals such as Journal of Neural Engineering, Scientific Reports, Journal of Neuroscience, Frontiers in Neuroscience and Clinical Neurophysiology.

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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