Mai Le

12 total papers · 547 total citations
9 papers, 383 citations indexed

About

Mai Le is a scholar working on General Health Professions, Demography and Economics and Econometrics. According to data from OpenAlex, Mai Le has authored 9 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in General Health Professions, 4 papers in Demography and 2 papers in Economics and Econometrics. Recurrent topics in Mai Le's work include Retirement, Disability, and Employment (3 papers), Workplace Health and Well-being (2 papers) and Healthcare Policy and Management (2 papers). Mai Le is often cited by papers focused on Retirement, Disability, and Employment (3 papers), Workplace Health and Well-being (2 papers) and Healthcare Policy and Management (2 papers). Mai Le collaborates with scholars based in Vietnam, United States and Singapore. Mai Le's co-authors include Katie Maslow, Jill Eden, Dan G. Blazer, Melvyn Zhang, Cuong Tat Nguyen, Roger Ho, Long Hoang Nguyen, Nguyễn Văn Huy, Hinh Duc Nguyen and Bach Xuan Tran and has published in prestigious journals such as BMC Public Health, The International Journal of Health Planning and Management and Diversity & Equality in Health and Care.

In The Last Decade

Mai Le

9 papers receiving 367 citations

Author Peers

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

Author Last Decade Papers Cites
Mai Le 186 95 91 67 53 9 383
Barbara Heise 126 0.7× 107 1.1× 87 1.0× 34 0.5× 41 0.8× 17 362
Sarnia Butler 80 0.4× 70 0.7× 49 0.5× 88 1.3× 64 1.2× 15 414
Hege Bøen 115 0.6× 143 1.5× 67 0.7× 37 0.6× 136 2.6× 5 332
Michelle E. Paggi 75 0.4× 66 0.7× 107 1.2× 86 1.3× 120 2.3× 8 443
Edwin Olsen 133 0.7× 95 1.0× 84 0.9× 21 0.3× 32 0.6× 11 408
Kathleen I. Hunter 129 0.7× 78 0.8× 83 0.9× 58 0.9× 147 2.8× 17 367
Thomas Richardson 133 0.7× 141 1.5× 94 1.0× 26 0.4× 133 2.5× 15 361
Kaite Yang 91 0.5× 157 1.7× 107 1.2× 46 0.7× 135 2.5× 8 410
Ami N. Bryant 144 0.8× 101 1.1× 88 1.0× 26 0.4× 130 2.5× 16 356
Andrea S. Schreiner 127 0.7× 76 0.8× 42 0.5× 28 0.4× 101 1.9× 9 365

Countries citing papers authored by Mai Le

Since Specialization
Citations

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

Fields of papers citing papers by Mai Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mai Le

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