Matthew Nguyen
- Epidemiology top 2%
- Physiology top 2%
- Molecular Biology top 10%
- Immunology top 5%
- Surgery top 10%
- Co-authors
- Jerrold M. OlefskySvetlana FavelyukisTakeshi ImamuraJaap G. NeelsHiroaki SatohChristopher K. GlassRu Liu‐BryanDonna Reichart
- Topics
- Adipokines, Inflammation, and Metabolic Diseases (9 papers)Adipose Tissue and Metabolism (9 papers)Bone health and treatments (4 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Matthew Nguyen
37 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Epidemiology 1.4k
- Physiology 1.1k
- Molecular Biology 1.0k
- Immunology 642
- Surgery 400
Countries citing papers authored by Matthew Nguyen
This map shows the geographic impact of Matthew 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 Matthew Nguyen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Nguyen more than expected).
Fields of papers citing papers by Matthew Nguyen
This network shows the impact of papers produced by Matthew 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 Matthew Nguyen. The network helps show where Matthew Nguyen may publish in the future.
Co-authorship network of co-authors of Matthew Nguyen
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Nguyen. A scholar is included among the top collaborators of Matthew 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 Matthew Nguyen. Matthew 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 | 3 | |
| 2 | 3 | |
| 3 | 30 | |
| 4 | Screening for Skin Cancer in Adults | 2 |
| 5 | 41 | |
| 6 | 15 | |
| 7 | 32 | |
| 8 | Hypodense Regions (Holes) Are Seen in the Retinal Nerve Fiber Layer of the Frequency-Domain OCT Scans of Eyes with Glaucoma, but not Eyes with MS or ION | 1 |
| 9 | 34 | |
| 10 | 375 | |
| 11 | 205 | |
| 12 | A Subpopulation of Macrophages Infiltrates Hypertrophic Adipose Tissue and Is Activated by Free Fatty Acids via Toll-like Receptors 2 and 4 and JNK-dependent Pathwaysbreakdown → | 815 |
| 13 | 6 | |
| 14 | 53 | |
| 15 | 35 | |
| 16 | 214 | |
| 17 | 15 | |
| 18 | 43 | |
| 19 | 97 | |
| 20 | 44 |
About Matthew Nguyen
Matthew Nguyen is a scholar working on Family Practice, Ophthalmology and Epidemiology, having authored 37 papers that have together received 3.2k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (9 papers), Adipose Tissue and Metabolism (9 papers) and Bone health and treatments (4 papers). The work is most often cited by research in Physiology (1.1k citations), Epidemiology (1.4k citations) and Endocrine and Autonomic Systems (238 citations). Matthew Nguyen has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Jerrold M. Olefsky, Svetlana Favelyukis, Takeshi Imamura, Jaap G. Neels, Hiroaki Satoh, Christopher K. Glass, Ru Liu‐Bryan, Donna Reichart, Peter Scott and Alan Jenn. Their work appears in journals such as JAMA, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.