Afia Naaz
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Physiology top 1%
- Adipose Tissue and Metabolism
Papers in
-
- Fatty Acid Research and Health 3
-
- Phytoestrogen effects and research 4
- Co-authors
- Steven E. ShoelsonLaura HerreroPaul S. CookeMarkus FeuererAli NayerAllison B. GoldfineDiane MathisJamie Wong
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nature Medicine (1 paper)Birth Defects Research Part A Clinical and Molecular Teratology (1 paper)Biology of Reproduction (1 paper)Endocrinology (1 paper)
- Partner nations
- United StatesJapanItaly
In The Last Decade
Afia Naaz
11 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Immunology 1.2k
- Physiology 1.4k
- Epidemiology 1.8k
- Endocrine and Autonomic Systems 260
- Endocrinology, Diabetes and Metabolism 600
Countries citing papers authored by Afia Naaz
This map shows the geographic impact of Afia Naaz'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 Afia Naaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Afia Naaz more than expected).
Fields of papers citing papers by Afia Naaz
This network shows the impact of papers produced by Afia Naaz. 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 Afia Naaz. The network helps show where Afia Naaz may publish in the future.
Co-authors
The 25 scholars most cited alongside Afia Naaz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 115 | |
| 2 | 2011 | 18 | |
| 3 | Lean, but not obese, fat is enriched for a unique population of regulatory T cells that affect metabolic parameters Hit paper breakdown → | 2009 | 1665 |
| 4 | Obesity, Inflammation, and Insulin Resistance Hit paper breakdown → | 2007 | 1399 |
| 5 | 2005 | 17 | |
| 6 | 2004 | 52 | |
| 7 | 2004 | 121 | |
| 8 | 2004 | 296 | |
| 9 | 2003 | 230 | |
| 10 | 2002 | 157 | |
| 11 | 2002 | 198 |
About Afia Naaz
Afia Naaz is a scholar working on Nutrition and Dietetics, Pathology and Forensic Medicine, Genetics, Epidemiology and Endocrine and Autonomic Systems, having authored 11 papers that have together received 4.3k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (7 papers), Estrogen and related hormone effects (5 papers), Phytoestrogen effects and research (4 papers), Fatty Acid Research and Health (3 papers), Immune Cell Function and Interaction (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Adipose Tissue and Metabolism (2 papers) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Immunology (1.2k citations), Physiology (1.4k citations), Epidemiology (1.8k citations), Endocrine and Autonomic Systems (260 citations) and Endocrinology, Diabetes and Metabolism (600 citations). Afia Naaz has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Steven E. Shoelson, Laura Herrero, Paul S. Cooke, Markus Feuerer, Ali Nayer, Allison B. Goldfine, Diane Mathis, Jamie Wong, Jongsoon Lee and Daniela Cipolletta. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine, Birth Defects Research Part A Clinical and Molecular Teratology, Biology of Reproduction and Endocrinology.
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.