Michelle Yeung

28 total papers · 494 total citations
19 papers, 320 citations indexed

About

Michelle Yeung is a scholar working on Epidemiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michelle Yeung has authored 19 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michelle Yeung's work include Neuroscience and Neuropharmacology Research (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Diet and metabolism studies (3 papers). Michelle Yeung is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Diet and metabolism studies (3 papers). Michelle Yeung collaborates with scholars based in Canada, United Kingdom and Hong Kong. Michelle Yeung's co-authors include Dallas Treit, Clayton T. Dickson, Gerald Krystal, Ingrid Elisia, Vivian Lam, Stephen Lam, Mariah Hay, Michael Y. Li, Luke Bu and William Jia and has published in prestigious journals such as Scientific Reports, International Journal of Obesity and Psychopharmacology.

In The Last Decade

Michelle Yeung

17 papers receiving 318 citations

Author Peers

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

Author Last Decade Papers Cites
Michelle Yeung 75 63 61 60 51 19 320
Wen-Jun Zou 71 0.9× 49 0.8× 30 0.5× 139 2.3× 53 1.0× 23 330
Fredrik Larsson 39 0.5× 27 0.4× 82 1.3× 61 1.0× 38 0.7× 15 319
Cunyan Li 42 0.6× 19 0.3× 24 0.4× 40 0.7× 43 0.8× 12 254
Takenao Koseki 102 1.4× 24 0.4× 30 0.5× 105 1.8× 22 0.4× 34 331
K. Serizawa 75 1.0× 20 0.3× 18 0.3× 59 1.0× 29 0.6× 18 351
Susanne Michels 32 0.4× 25 0.4× 45 0.7× 106 1.8× 42 0.8× 16 297
Xing Cai 43 0.6× 32 0.5× 29 0.5× 50 0.8× 91 1.8× 12 265
Anindit Chhibber 32 0.4× 31 0.5× 35 0.6× 52 0.9× 60 1.2× 20 305
Mengyao Zhang 26 0.3× 54 0.9× 38 0.6× 48 0.8× 40 0.8× 26 317
Helia Mojtabavi 41 0.5× 38 0.6× 19 0.3× 24 0.4× 22 0.4× 20 296

Countries citing papers authored by Michelle Yeung

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Yeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Yeung

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Yeung. A scholar is included among the top collaborators of Michelle Yeung 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 Michelle Yeung. Michelle Yeung 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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