May T. Yeung

119 total papers · 597 total citations
28 papers, 295 citations indexed

About

May T. Yeung is a scholar working on Plant Science, Pulmonary and Respiratory Medicine and Economics and Econometrics. According to data from OpenAlex, May T. Yeung has authored 28 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 5 papers in Pulmonary and Respiratory Medicine and 5 papers in Economics and Econometrics. Recurrent topics in May T. Yeung's work include Genetically Modified Organisms Research (5 papers), Global trade and economics (4 papers) and Cerebrovascular and Carotid Artery Diseases (4 papers). May T. Yeung is often cited by papers focused on Genetically Modified Organisms Research (5 papers), Global trade and economics (4 papers) and Cerebrovascular and Carotid Artery Diseases (4 papers). May T. Yeung collaborates with scholars based in Canada, United States and United Kingdom. May T. Yeung's co-authors include William A. Kerr, Khurshid Khan, Ashfaq Shuaib, Daniele Giovannucci, Bernard O’Connor, Timothy E. Josling, Sangeeta Khorana, Jill E. Hobbs, Nicholas Perdikis and David Walker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Stroke and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

May T. Yeung

27 papers receiving 266 citations

Author Peers

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

Author Last Decade Papers Cites
May T. Yeung 104 65 59 53 37 28 295
Desmond A. Jolly 150 1.4× 11 0.2× 65 1.1× 57 1.1× 26 0.7× 16 365
Dennis R. Henderson 32 0.3× 118 1.8× 17 0.3× 9 0.2× 5 0.1× 27 274
Lihui Wu 19 0.2× 42 0.6× 37 0.6× 23 0.4× 8 0.2× 32 337
Angga Dwiartama 87 0.8× 61 0.9× 34 0.6× 5 0.1× 27 317
Hélène Delacour 11 0.1× 34 0.5× 27 0.5× 14 0.3× 21 0.6× 47 309
Rob Hopkins 27 0.3× 7 0.1× 8 0.1× 10 0.2× 25 0.7× 20 354
Giulia Meloni 154 1.5× 68 1.0× 65 1.2× 10 0.3× 20 299
Christine Wieck 56 0.5× 93 1.4× 36 0.7× 5 0.1× 35 359
Josep María Vallès 96 0.9× 10 0.2× 7 0.1× 9 0.2× 36 1.0× 44 338
João C. Bana e Costa 96 0.9× 17 0.3× 10 0.2× 8 0.2× 11 0.3× 17 356

Countries citing papers authored by May T. Yeung

Since Specialization
Citations

This map shows the geographic impact of May T. 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 May T. Yeung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites May T. Yeung more than expected).

Fields of papers citing papers by May T. Yeung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of May T. Yeung

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