Fahad Aziz
- Physiology top 1%
- Endocrine and Autonomic Systems top 0.5%
- Pulmonary and Respiratory Medicine top 5%
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 5%
- Co-authors
- Kunal ChaudharySandesh ParajuliDidier A. MandelbrotNeetika GargArjang DjamaliMaha MohamedBrenda MuthBrad C. Astor
- Topics
- Renal Transplantation Outcomes and Treatments (37 papers)Organ Transplantation Techniques and Outcomes (16 papers)Dialysis and Renal Disease Management (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaKidney InternationalJournal of the American Society of Nephrology
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Fahad Aziz
59 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Physiology 1.7k
- Endocrine and Autonomic Systems 1.2k
- Pulmonary and Respiratory Medicine 681
- Cognitive Neuroscience 398
- Experimental and Cognitive Psychology 341
Countries citing papers authored by Fahad Aziz
This map shows the geographic impact of Fahad Aziz'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 Fahad Aziz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fahad Aziz more than expected).
Fields of papers citing papers by Fahad Aziz
This network shows the impact of papers produced by Fahad Aziz. 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 Fahad Aziz. The network helps show where Fahad Aziz may publish in the future.
Co-authorship network of co-authors of Fahad Aziz
This figure shows the co-authorship network connecting the top 25 collaborators of Fahad Aziz. A scholar is included among the top collaborators of Fahad Aziz 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 Fahad Aziz. Fahad Aziz 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 | 8 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 10 | |
| 13 | 19 | |
| 14 | 7 | |
| 15 | 71 | |
| 16 | 2 | |
| 17 | The Triad of Sleep Apnea, Hypertension, and Chronic Kidney Disease: A Spectrum of Common Pathologybreakdown → | 2015 |
| 18 | 37 | |
| 19 | 1 | |
| 20 | 17 |
About Fahad Aziz
Fahad Aziz is a scholar working on Transplantation, Nephrology and Hepatology, having authored 67 papers that have together received 2.6k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (37 papers), Organ Transplantation Techniques and Outcomes (16 papers) and Dialysis and Renal Disease Management (9 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.2k citations), Transplantation (268 citations) and Physiology (1.7k citations). Fahad Aziz has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Kunal Chaudhary, Sandesh Parajuli, Didier A. Mandelbrot, Neetika Garg, Arjang Djamali, Maha Mohamed, Brenda Muth, Brad C. Astor, Weixiong Zhong and Margaret R. Jorgenson. Their work appears in journals such as SHILAP Revista de lepidopterología, Kidney International and Journal of the American Society of Nephrology.
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.