Taye H. Hamza
- Neurology top 2%
- Surgery top 5%
- Neurology top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Co-authors
- Theo StijnenPınar ÖzdemirHans C. van HouwelingenHaydeh PayamiLidia R. ArendsM. G. Myriam HuninkStewart A. FactorCyrus P. Zabetian
- Topics
- Meta-analysis and systematic reviews (7 papers)Peripheral Artery Disease Management (7 papers)Acute Ischemic Stroke Management (5 papers)
- Journals
- CirculationNature GeneticsBlood
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Taye H. Hamza
37 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Neurology 620
- Surgery 573
- Neurology 364
- Cardiology and Cardiovascular Medicine 360
- Molecular Biology 350
Countries citing papers authored by Taye H. Hamza
This map shows the geographic impact of Taye H. Hamza'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 Taye H. Hamza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taye H. Hamza more than expected).
Fields of papers citing papers by Taye H. Hamza
This network shows the impact of papers produced by Taye H. Hamza. 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 Taye H. Hamza. The network helps show where Taye H. Hamza may publish in the future.
Co-authorship network of co-authors of Taye H. Hamza
This figure shows the co-authorship network connecting the top 25 collaborators of Taye H. Hamza. A scholar is included among the top collaborators of Taye H. Hamza 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 Taye H. Hamza. Taye H. Hamza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 15 | |
| 6 | 7 | |
| 7 | 11 | |
| 8 | 10 | |
| 9 | 8 | |
| 10 | 52 | |
| 11 | 35 | |
| 12 | 31 | |
| 13 | Abstract 19550: Incidence, Correlates and Impact of Acute Kidney Injury in Diabetic Patients With Multivessel Disease Undergoing Coronary Revascularization: Results From the FREEDOM Trial | 1 |
| 14 | 39 | |
| 15 | 51 | |
| 16 | 55 | |
| 17 | Random effects meta-analysis of event outcome in the framework of the generalized linear mixed model with applications in sparse databreakdown → | 531 |
| 18 | 95 | |
| 19 | 59 | |
| 20 | 311 |
About Taye H. Hamza
Taye H. Hamza is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Cardiology and Cardiovascular Medicine, having authored 39 papers that have together received 2.8k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (7 papers), Peripheral Artery Disease Management (7 papers) and Acute Ischemic Stroke Management (5 papers). The work is most often cited by research in Neurology (364 citations), Statistics, Probability and Uncertainty (293 citations) and Neurology (620 citations). Taye H. Hamza has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Theo Stijnen, Pınar Özdemir, Hans C. van Houwelingen, Haydeh Payami, Lidia R. Arends, M. G. Myriam Hunink, Stewart A. Factor, Cyrus P. Zabetian, Majanka H. Heijenbrok‐Kal and Jennifer S. Montimurro. Their work appears in journals such as Circulation, Nature Genetics and Blood.
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.