Phi‐Yen Nguyen
- Health, Toxicology and Mutagenesis top 5%
- Virology top 5%
- Molecular Biology
- Epidemiology
- Clinical Psychology top 10%
- Co-authors
- C. Raina MacIntyreHania Rahimi‐ArdabiliXiaoqi FengAbrar Ahmad ChughtaiThomas Astell‐BurtWhenayon Simeon AjisegiriValentina CostantinoMallory Trent
- Topics
- Meta-analysis and systematic reviews (11 papers)Pregnancy and preeclampsia studies (7 papers)COVID-19 and healthcare impacts (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Clinical MicrobiologyPLoS Biology
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Phi‐Yen Nguyen
38 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Health, Toxicology and Mutagenesis 319
- Virology 220
- Molecular Biology 205
- Epidemiology 158
- Clinical Psychology 112
Countries citing papers authored by Phi‐Yen Nguyen
This map shows the geographic impact of Phi‐Yen Nguyen'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 Phi‐Yen Nguyen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phi‐Yen Nguyen more than expected).
Fields of papers citing papers by Phi‐Yen Nguyen
This network shows the impact of papers produced by Phi‐Yen Nguyen. 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 Phi‐Yen Nguyen. The network helps show where Phi‐Yen Nguyen may publish in the future.
Co-authorship network of co-authors of Phi‐Yen Nguyen
This figure shows the co-authorship network connecting the top 25 collaborators of Phi‐Yen Nguyen. A scholar is included among the top collaborators of Phi‐Yen Nguyen 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 Phi‐Yen Nguyen. Phi‐Yen Nguyen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 9 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | 37 | |
| 14 | 7 | |
| 15 | 32 | |
| 16 | 10 | |
| 17 | 3 | |
| 18 | 137 | |
| 19 | 74 | |
| 20 | Estimating the Burden of COVID-19 on the Australian Healthcare Workers and Health System | 1 |
About Phi‐Yen Nguyen
Phi‐Yen Nguyen is a scholar working on Statistics, Probability and Uncertainty, Health Informatics and Obstetrics and Gynecology, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (11 papers), Pregnancy and preeclampsia studies (7 papers) and COVID-19 and healthcare impacts (5 papers). The work is most often cited by research in Virology (220 citations), Health, Toxicology and Mutagenesis (319 citations) and Modeling and Simulation (68 citations). Phi‐Yen Nguyen has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include C. Raina MacIntyre, Hania Rahimi‐Ardabili, Xiaoqi Feng, Abrar Ahmad Chughtai, Thomas Astell‐Burt, Whenayon Simeon Ajisegiri, Valentina Costantino, Mallory Trent, Brian J. Gerber and Holly Seale. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Clinical Microbiology and PLoS Biology.
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.