Mei Jun Chan

17 total papers · 527 total citations
14 papers, 352 citations indexed

About

Mei Jun Chan is a scholar working on Public Health, Environmental and Occupational Health, Clinical Psychology and Psychiatry and Mental health. According to data from OpenAlex, Mei Jun Chan has authored 14 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Public Health, Environmental and Occupational Health, 6 papers in Clinical Psychology and 6 papers in Psychiatry and Mental health. Recurrent topics in Mei Jun Chan's work include Obesity, Physical Activity, Diet (12 papers), Child Nutrition and Feeding Issues (6 papers) and Eating Disorders and Behaviors (6 papers). Mei Jun Chan is often cited by papers focused on Obesity, Physical Activity, Diet (12 papers), Child Nutrition and Feeding Issues (6 papers) and Eating Disorders and Behaviors (6 papers). Mei Jun Chan collaborates with scholars based in Singapore, United Kingdom and Switzerland. Mei Jun Chan's co-authors include Mary Foong‐Fong Chong, Lynette Pei‐Chi Shek, Keith M. Godfrey, Yap Seng Chong, Kok Hian Tan, Lisa R. Fries, Fabian Yap, Yung Seng Lee, Ciarán G. Forde and Jia Ying Toh and has published in prestigious journals such as PLoS ONE, British Journal Of Nutrition and Frontiers in Psychology.

In The Last Decade

Mei Jun Chan

14 papers receiving 347 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mei Jun Chan 265 179 106 60 35 14 352
Olivia W. Kendrick 174 0.7× 163 0.9× 54 0.5× 45 0.8× 15 0.4× 16 372
Б.С. Каганов 252 1.0× 72 0.4× 42 0.4× 58 1.0× 8 0.2× 23 374
E.V. Pavlovskaya 231 0.9× 72 0.4× 40 0.4× 38 0.6× 8 0.2× 27 338
Paloma Flores‐Barrantes 280 1.1× 60 0.3× 44 0.4× 64 1.1× 12 0.3× 21 391
Mariona Gispert‐Llauradó 130 0.5× 54 0.3× 43 0.4× 149 2.5× 47 1.3× 14 367
Claudia Hunot‐Alexander 220 0.8× 262 1.5× 53 0.5× 22 0.4× 35 1.0× 17 354
Alissa D. Smethers 223 0.8× 91 0.5× 35 0.3× 53 0.9× 32 0.9× 13 309
A.G. Surkov 229 0.9× 69 0.4× 37 0.3× 36 0.6× 5 0.1× 16 324
Catarina Durão 269 1.0× 100 0.6× 98 0.9× 93 1.6× 10 0.3× 22 357
Natalia C. Orloff 121 0.5× 222 1.2× 40 0.4× 29 0.5× 18 0.5× 18 381

Countries citing papers authored by Mei Jun Chan

Since Specialization
Citations

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

Fields of papers citing papers by Mei Jun Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Jun Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Jun Chan. A scholar is included among the top collaborators of Mei Jun Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mei Jun Chan. Mei Jun Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026