Doris Ma Fat

5.2k total citations · 3 hit papers
9 papers, 3.0k citations indexed

About

Doris Ma Fat is a scholar working on Pediatrics, Perinatology and Child Health, General Health Professions and Finance. According to data from OpenAlex, Doris Ma Fat has authored 9 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pediatrics, Perinatology and Child Health, 5 papers in General Health Professions and 2 papers in Finance. Recurrent topics in Doris Ma Fat's work include Global Maternal and Child Health (7 papers), Health and Conflict Studies (3 papers) and Global Health Care Issues (2 papers). Doris Ma Fat is often cited by papers focused on Global Maternal and Child Health (7 papers), Health and Conflict Studies (3 papers) and Global Health Care Issues (2 papers). Doris Ma Fat collaborates with scholars based in Switzerland, United States and Australia. Doris Ma Fat's co-authors include Colin Mathers, Ties Boerma, Mie Inoue, Chalapati Rao, Alan D López, Daniel Hogan, Doris Chou, Marleen Temmerman, Leontine Alkema and Ann‐Beth Moller and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS Medicine.

In The Last Decade

Doris Ma Fat

9 papers receiving 2.9k citations

Hit Papers

Global, regional, and national levels and tre... 2005 2026 2012 2019 2015 2005 2009 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Doris Ma Fat Switzerland 8 1.6k 826 519 382 371 9 3.0k
Margaret C. Hogan United States 11 2.2k 1.3× 926 1.1× 547 1.1× 659 1.7× 721 1.9× 13 3.6k
Ricardo Pérez‐Cuevas Mexico 23 987 0.6× 750 0.9× 567 1.1× 226 0.6× 234 0.6× 137 2.5k
Mie Inoue Switzerland 12 1.7k 1.1× 1.2k 1.5× 290 0.6× 410 1.1× 667 1.8× 15 4.1k
Claudia Hanson Sweden 27 2.0k 1.3× 803 1.0× 1.1k 2.2× 242 0.6× 356 1.0× 160 3.0k
Julie Knoll Rajaratnam United States 14 1.6k 1.0× 1.0k 1.3× 168 0.3× 403 1.1× 716 1.9× 18 2.9k
Gustavo Nígenda Mexico 20 915 0.6× 993 1.2× 199 0.4× 542 1.4× 184 0.5× 97 2.1k
William Stones United Kingdom 28 1.8k 1.1× 852 1.0× 1.0k 2.0× 227 0.6× 360 1.0× 128 3.6k
Kishwar Azad United Kingdom 27 1.6k 1.0× 1.0k 1.2× 330 0.6× 282 0.7× 883 2.4× 106 2.8k
Alexandre Dumont France 30 2.0k 1.2× 788 1.0× 1.2k 2.3× 384 1.0× 218 0.6× 154 3.0k
Yan Guo China 22 684 0.4× 433 0.5× 292 0.6× 307 0.8× 220 0.6× 90 1.9k

Countries citing papers authored by Doris Ma Fat

Since Specialization
Citations

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

Fields of papers citing papers by Doris Ma Fat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Doris Ma Fat. 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 Doris Ma Fat. The network helps show where Doris Ma Fat may publish in the future.

Co-authorship network of co-authors of Doris Ma Fat

This figure shows the co-authorship network connecting the top 25 collaborators of Doris Ma Fat. A scholar is included among the top collaborators of Doris Ma Fat 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 Doris Ma Fat. Doris Ma Fat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Rao, Chalapati, Don de Savigny, Samantha Dolan, et al.. (2025). The role of mortality surveillance in pandemic preparedness and response. Bulletin of the World Health Organization. 103(3). 213–222. 2 indexed citations
2.
Suthar, Amitabh B., Sherry Yin, Doris Ma Fat, et al.. (2019). Evaluation of approaches to strengthen civil registration and vital statistics systems: A systematic review and synthesis of policies in 25 countries. PLoS Medicine. 16(9). e1002929–e1002929. 23 indexed citations
4.
Alkema, Leontine, Doris Chou, Daniel Hogan, et al.. (2015). Global, regional, and national levels and trends in maternal mortality between 1990 and 2015, with scenario-based projections to 2030: a systematic analysis by the UN Maternal Mortality Estimation Inter-Agency Group. The Lancet. 387(10017). 462–474. 1483 indexed citations breakdown →
5.
Cuchí, Paloma, Doris Ma Fat, Peter D. Ghys, et al.. (2012). Identifying and quantifying misclassified and under-reported AIDS deaths in Brazil: a retrospective analysis from 1985 to 2009. Sexually Transmitted Infections. 88(Suppl 2). i86–i94. 20 indexed citations
6.
Mathers, Colin, Ties Boerma, & Doris Ma Fat. (2009). Global and regional causes of death. British Medical Bulletin. 92(1). 7–32. 470 indexed citations breakdown →
7.
Fat, Doris Ma. (2006). A method for deriving leading causes of death. Bulletin of the World Health Organization. 2006(4). 297–304. 54 indexed citations
8.
Mathers, Colin, Doris Ma Fat, Mie Inoue, Chalapati Rao, & Alan D López. (2005). Counting the dead and what they died from: an assessment of the global status of cause of death data.. SHILAP Revista de lepidopterología. 83(3). 171–7. 941 indexed citations breakdown →
9.
Stein, Cláudia, Mie Inoue, & Doris Ma Fat. (2004). The global mortality of infectious and parasitic diseases in children. Seminars in Pediatric Infectious Diseases. 15(3). 125–129. 9 indexed citations

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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