Marjorie Mau

19 total papers · 555 total citations
15 papers, 428 citations indexed

About

Marjorie Mau is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and General Health Professions. According to data from OpenAlex, Marjorie Mau has authored 15 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in General Health Professions. Recurrent topics in Marjorie Mau's work include Diabetes Management and Education (4 papers), Cardiovascular Health and Risk Factors (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Marjorie Mau is often cited by papers focused on Diabetes Management and Education (4 papers), Cardiovascular Health and Risk Factors (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Marjorie Mau collaborates with scholars based in United States and New Zealand. Marjorie Mau's co-authors include Greg Tafoya, Bonnie Duran, Cynthia Pearson, María Mercedes Ávila, Lorenda Belone, Jennifer A. Sandoval, Jonathan L. Lucero, John Oetzel, Edward A. Chow and Deborah Taira Juarez and has published in prestigious journals such as Diabetes Care, Diabetes and International Journal of Sports Medicine.

In The Last Decade

Marjorie Mau

15 papers receiving 404 citations

Author Peers

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

Author Last Decade Papers Cites
Marjorie Mau 223 111 59 55 41 15 428
Marla C. Solomon 348 1.6× 172 1.5× 77 1.3× 60 1.1× 20 0.5× 15 485
Vanessa Duren‐Winfield 203 0.9× 117 1.1× 37 0.6× 103 1.9× 57 1.4× 26 398
Chanuantong Tanasugarn 226 1.0× 185 1.7× 57 1.0× 127 2.3× 25 0.6× 18 488
I Mastura 185 0.8× 174 1.6× 42 0.7× 91 1.7× 31 0.8× 14 474
Agapi Angelaki 152 0.7× 117 1.1× 41 0.7× 114 2.1× 26 0.6× 15 372
Tim Woolley 281 1.3× 155 1.4× 59 1.0× 67 1.2× 20 0.5× 9 425
Sandy Robertson 314 1.4× 136 1.2× 81 1.4× 34 0.6× 22 0.5× 10 490
Laura J. McGowan 178 0.8× 64 0.6× 67 1.1× 43 0.8× 18 0.4× 23 409
Chou‐Ping Chiou 122 0.5× 98 0.9× 70 1.2× 105 1.9× 28 0.7× 20 453
Edward A. Chow 130 0.6× 121 1.1× 75 1.3× 72 1.3× 14 0.3× 16 411

Countries citing papers authored by Marjorie Mau

Since Specialization
Citations

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

Fields of papers citing papers by Marjorie Mau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marjorie Mau

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