Hazel H. Szeto
- Molecular Biology top 0.5%
- Physiology top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Epidemiology top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Co-authors
- Yi SoongPeter S. RabinovitchPeter W. SchillerKesheng ZhaoShaoyi LiuDunli WuDao‐Fu DaiGuomin Zhao
- Topics
- Mitochondrial Function and Pathology (32 papers)Neuropeptides and Animal Physiology (27 papers)Receptor Mechanisms and Signaling (24 papers)
- Cited by
- Clinical BiochemistryAgingPhysiology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Hazel H. Szeto
188 papers receiving 11.9k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 6.6k
- Physiology 3.1k
- Cellular and Molecular Neuroscience 1.3k
- Epidemiology 1.1k
- Cardiology and Cardiovascular Medicine 1.1k
Countries citing papers authored by Hazel H. Szeto
This map shows the geographic impact of Hazel H. Szeto'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 Hazel H. Szeto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hazel H. Szeto more than expected).
Fields of papers citing papers by Hazel H. Szeto
This network shows the impact of papers produced by Hazel H. Szeto. 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 Hazel H. Szeto. The network helps show where Hazel H. Szeto may publish in the future.
Co-authorship network of co-authors of Hazel H. Szeto
This figure shows the co-authorship network connecting the top 25 collaborators of Hazel H. Szeto. A scholar is included among the top collaborators of Hazel H. Szeto 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 Hazel H. Szeto. Hazel H. Szeto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 1 | |
| 3 | 86 | |
| 4 | 83 | |
| 5 | 142 | |
| 6 | 51 | |
| 7 | 241 | |
| 8 | Mitochondrial H2O2 emission and cellular redox state link excess fat intake to insulin resistance in both rodents and humansbreakdown → | 993 |
| 9 | 82 | |
| 10 | 111 | |
| 11 | 141 | |
| 12 | 26 | |
| 13 | 10 | |
| 14 | 15 | |
| 15 | 24 | |
| 16 | 2 | |
| 17 | 9 | |
| 18 | 5 | |
| 19 | 36 | |
| 20 | 20 |
About Hazel H. Szeto
Hazel H. Szeto is a scholar working on Endocrine and Autonomic Systems, Behavioral Neuroscience and Pediatrics, Perinatology and Child Health, having authored 193 papers that have together received 12.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (32 papers), Neuropeptides and Animal Physiology (27 papers) and Receptor Mechanisms and Signaling (24 papers). The work is most often cited by research in Clinical Biochemistry (884 citations), Aging (220 citations) and Physiology (3.1k citations). Hazel H. Szeto has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Yi Soong, Peter S. Rabinovitch, Peter W. Schiller, Kesheng Zhao, Shaoyi Liu, Dunli Wu, Dao‐Fu Dai, Guomin Zhao, Surya V. Seshan and Guoxiong Luo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.