Michelle Chan

502 citations
23 papers · 359 · h-index 10

Impact in

Papers in

Michelle Chan

22 papers receiving 352 citations

Peers

Michelle Chan
Comparison fields: 5 of 78
  • Safety, Risk, Reliability and Quality 80
  • Social Psychology 131
  • Experimental and Cognitive Psychology 65
  • Cognitive Neuroscience 92
  • Neuropsychology and Physiological Psychology 5
Replace María Fernanda López-Ramón with:
María Fernanda López-Ramón Spain
Sonia Amado Türkiye
John G. Gaspar United States
Fearghal O’Brien United States
Wim Waterink Netherlands
Giorgia D’Innocenzo United Kingdom
Pierluigi Cordellieri Italy
Luigi Tinella Italy
Nelson Roque United States
Maaike Jessurun Netherlands
Michelle Chan relative to María Fernanda López-Ramón Spain María Fernanda López-Ramón's profile →
Citations per field
00.5×1.5×2.1×
María Fernanda López-Ramón · 1×
Citations per year

Countries citing papers authored by Michelle Chan

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012112
2 201475
3 201631
4 201919
5 202018
6 200913
7 202012
8 202111
9 202311
10 201610
11 20228
12 20148
13 20148
14 20166
15 20215
16 20194
17 20202
18 20142
19 20171
20 20241

About Michelle Chan

Michelle Chan is a scholar working on Psychiatry and Mental health, Social Psychology, Cognitive Neuroscience, Epidemiology and Experimental and Cognitive Psychology, having authored 23 papers that have together received 359 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (10 papers), Neural and Behavioral Psychology Studies (4 papers), Human-Automation Interaction and Safety (3 papers), Cognitive Functions and Memory (2 papers), Memory Processes and Influences (2 papers), Humor Studies and Applications (2 papers), Communication in Education and Healthcare (2 papers) and Traumatic Brain Injury Research (2 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (80 citations), Social Psychology (131 citations), Experimental and Cognitive Psychology (65 citations), Cognitive Neuroscience (92 citations) and Neuropsychology and Physiological Psychology (5 citations). Michelle Chan has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Anthony Singhal, Christopher R. Madan, Dan Mungas, Andrea T. Shafer, Sarah Tomaszewski Farias, Jeremy B. Caplan, Rachel A. Whitmer, Danielle Harvey, Oanh L. Meyer and Alyssa Weakley. Their work appears in journals such as Journal of the International Neuropsychological Society, International Psychogeriatrics, Aging Neuropsychology and Cognition, Memory & Cognition and Safety Science.

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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