Marie Ng

55 total papers · 4.7k total citations
27 papers, 1.8k citations indexed

About

Marie Ng is a scholar working on Statistics and Probability, Pediatrics, Perinatology and Child Health and General Health Professions. According to data from OpenAlex, Marie Ng has authored 27 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Statistics and Probability, 7 papers in Pediatrics, Perinatology and Child Health and 5 papers in General Health Professions. Recurrent topics in Marie Ng's work include Global Maternal and Child Health (6 papers), Advanced Statistical Methods and Models (6 papers) and HIV/AIDS Research and Interventions (4 papers). Marie Ng is often cited by papers focused on Global Maternal and Child Health (6 papers), Advanced Statistical Methods and Models (6 papers) and HIV/AIDS Research and Interventions (4 papers). Marie Ng collaborates with scholars based in United States, Hong Kong and China. Marie Ng's co-authors include Emmanuela Gakidou, Christopher J L Murray, Blake Thomson, Alexandra Wollum, Laura Dwyer‐Lindgren, Sarah Wulf, Alan D López, Michael K Freeman, Ella Sanman and Margaret Robinson and has published in prestigious journals such as The Lancet, JAMA and Nature Medicine.

In The Last Decade

Marie Ng

27 papers receiving 1.7k citations

Hit Papers

Smoking Prevalence and Ci... 2014 2026 2018 2022 2014 2021 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Marie Ng 566 388 279 245 207 27 1.8k
Alexandra Wollum 480 0.8× 394 1.0× 256 0.9× 217 0.9× 169 0.8× 42 1.5k
Blake Thomson 597 1.1× 457 1.2× 283 1.0× 253 1.0× 114 0.6× 31 1.9k
Sarah Wulf 483 0.9× 384 1.0× 205 0.7× 179 0.7× 142 0.7× 12 1.6k
Michael K Freeman 549 1.0× 372 1.0× 464 1.7× 245 1.0× 199 1.0× 10 2.0k
Margaret Robinson 589 1.0× 485 1.3× 277 1.0× 245 1.0× 84 0.4× 12 1.8k
Robert N. Anderson 766 1.4× 647 1.7× 269 1.0× 102 0.4× 146 0.7× 19 2.1k
Jason Hsia 602 1.1× 576 1.5× 487 1.7× 241 1.0× 392 1.9× 50 2.2k
Thomas Fleming 525 0.9× 312 0.8× 190 0.7× 183 0.7× 71 0.3× 9 1.4k
Office on Smoking 1.1k 2.0× 482 1.2× 325 1.2× 127 0.5× 121 0.6× 11 2.1k
Farah Daoud 286 0.5× 498 1.3× 324 1.2× 158 0.6× 73 0.4× 29 1.6k

Countries citing papers authored by Marie Ng

Since Specialization
Citations

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

Fields of papers citing papers by Marie Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marie Ng

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