Diana Jalal
- Nephrology top 0.1%
- Gout, Hyperuricemia, Uric Acid 27
- Chronic Kidney Disease and Diabetes 13
- Acute Kidney Injury Research 12
- Dialysis and Renal Disease Management 9
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- Alcohol Consumption and Health Effects 18
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- Diet, Metabolism, and Disease 9
- Epidemiology top 2%
- Liver Disease Diagnosis and Treatment 16
- Internal Medicine top 5%
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- Blood Pressure and Hypertension Studies 12
- Co-authors
- Richard J. JohnsonMichel ChoncholGiovanni TargherLaura Gabriela Sánchez‐LozadaTakahiko NakagawaDavid M. MaahsKim McFannDuk‐Hee Kang
- Journals
- Journal of the American Society of Nephrology (5 papers)Metabolism (5 papers)Diabetes Care (4 papers)
- Partner nations
- United StatesMexicoItaly
In The Last Decade
Diana Jalal
94 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Nephrology 2.3k
- Pathology and Forensic Medicine 975
- Endocrinology, Diabetes and Metabolism 823
- Epidemiology 1000
- Internal Medicine 104
Countries citing papers authored by Diana Jalal
This map shows the geographic impact of Diana Jalal'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 Diana Jalal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana Jalal more than expected).
Fields of papers citing papers by Diana Jalal
This network shows the impact of papers produced by Diana Jalal. 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 Diana Jalal. The network helps show where Diana Jalal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Diana Jalal, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 13 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 4 | |
| 12 | Iron Deficiency in Chronic Kidney Disease: Updates on Pathophysiology, Diagnosis, and Treatmentbreakdown → | 2020 | 191 |
| 13 | 2020 | 13 | |
| 14 | 2016 | 5 | |
| 15 | 2016 | 30 | |
| 16 | 2014 | 29 | |
| 17 | 2012 | 204 | |
| 18 | 2011 | 32 | |
| 19 | 2011 | 113 | |
| 20 | 2005 | 54 |
About Diana Jalal
Diana Jalal is a scholar working on Nephrology, Pathology and Forensic Medicine and Internal Medicine, having authored 101 papers that have together received 4.1k indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (27 papers), Alcohol Consumption and Health Effects (18 papers), Liver Disease Diagnosis and Treatment (16 papers), Chronic Kidney Disease and Diabetes (13 papers), Blood Pressure and Hypertension Studies (12 papers), Acute Kidney Injury Research (12 papers), Dialysis and Renal Disease Management (9 papers) and Diet, Metabolism, and Disease (9 papers). The work is most often cited by research in Nephrology (2.3k citations), Pathology and Forensic Medicine (975 citations) and Endocrinology, Diabetes and Metabolism (823 citations). Diana Jalal has collaborated with scholars based in United States, Mexico and Italy. Frequent co-authors include Richard J. Johnson, Michel Chonchol, Giovanni Targher, Laura Gabriela Sánchez‐Lozada, Takahiko Nakagawa, David M. Maahs, Kim McFann, Duk‐Hee Kang, E. Ritz and Magdalena Madero. Their work appears in journals such as Journal of the American Society of Nephrology, Metabolism, Diabetes Care, Clinical Journal of the American Society of Nephrology and American Journal of Hypertension.
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.