Maryalice Wu

10 total papers · 559 total citations
8 papers, 377 citations indexed

About

Maryalice Wu is a scholar working on Public Health, Environmental and Occupational Health, Education and Clinical Psychology. According to data from OpenAlex, Maryalice Wu has authored 8 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Public Health, Environmental and Occupational Health, 3 papers in Education and 1 paper in Clinical Psychology. Recurrent topics in Maryalice Wu's work include Menstrual Health and Disorders (4 papers), Innovative Teaching Methods (2 papers) and Gender Roles and Identity Studies (1 paper). Maryalice Wu is often cited by papers focused on Menstrual Health and Disorders (4 papers), Innovative Teaching Methods (2 papers) and Gender Roles and Identity Studies (1 paper). Maryalice Wu collaborates with scholars based in United States and United Kingdom. Maryalice Wu's co-authors include Catherine Dolan, Linda M. Scott, Julie Hennegan, Paul Montgomery, Laurel Steinfield, Zhilin Zhang, Karin Jensen, Rob Kooper, Barbara Hug and Lalit Patil and has published in prestigious journals such as PLoS ONE, Entrepreneurship Theory and Practice and BMJ Open.

In The Last Decade

Maryalice Wu

7 papers receiving 360 citations

Author Peers

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

Author Last Decade Papers Cites
Maryalice Wu 176 84 66 53 49 8 377
Bernd Carette 65 0.4× 34 0.4× 20 0.3× 12 0.2× 89 1.8× 11 382
Lyle Wetsch 25 0.1× 76 0.9× 38 0.6× 19 0.4× 56 1.1× 12 375
Anne Geniets 41 0.2× 17 0.2× 138 2.1× 6 0.1× 16 0.3× 17 408
Moira Cachia 32 0.2× 20 0.2× 41 0.6× 5 0.1× 33 0.7× 11 350
William D. Novelli 29 0.2× 18 0.2× 94 1.4× 17 0.3× 47 1.0× 14 401
Eugene R. Schnell 48 0.3× 117 1.4× 26 0.4× 16 0.3× 239 4.9× 7 445
Sheila Hanson 32 0.2× 135 1.6× 33 0.5× 31 0.6× 118 2.4× 18 418
Fragiskos Archontakis 61 0.3× 128 1.5× 44 0.7× 6 0.1× 13 0.3× 19 374
Heather Harvey 38 0.2× 16 0.2× 51 0.8× 4 0.1× 74 1.5× 23 394
Nadina Luca 27 0.2× 21 0.3× 84 1.3× 60 1.1× 65 1.3× 9 375

Countries citing papers authored by Maryalice Wu

Since Specialization
Citations

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

Fields of papers citing papers by Maryalice Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maryalice Wu

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