David E. Leaf
- Nephrology top 0.5%
- Acute Kidney Injury Research 20
- Parathyroid Disorders and Treatments 15
- Chronic Kidney Disease and Diabetes 13
- Dialysis and Renal Disease Management 9
- Internal Medicine top 2%
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies 14
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers 8
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- Hemoglobinopathies and Related Disorders 7
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- Renal Transplantation Outcomes and Treatments 6
- Co-authors
- David S. GoldfarbSushrut S. WaikarMiguel A. HernánWei WangShruti GuptaMarta ChristovHanny Al‐SamkariPavan K. Bendapudi
- Journals
- Journal of the American Society of Nephrology (11 papers)Clinical Journal of the American Society of Nephrology (8 papers)Kidney International (8 papers)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
David E. Leaf
103 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Nephrology 1.3k
- Internal Medicine 254
- Infectious Diseases 985
- Critical Care and Intensive Care Medicine 246
- Oncology 1.2k
Countries citing papers authored by David E. Leaf
This map shows the geographic impact of David E. Leaf'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 David E. Leaf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Leaf more than expected).
Fields of papers citing papers by David E. Leaf
This network shows the impact of papers produced by David E. Leaf. 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 David E. Leaf. The network helps show where David E. Leaf may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David E. Leaf, 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 | 2023 | 9 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 31 | |
| 7 | 2022 | 20 | |
| 8 | 2021 | 2 | |
| 9 | 2020 | 0 | |
| 10 | 2020 | 70 | |
| 11 | 2020 | 71 | |
| 12 | COVID-19 and coagulation: bleeding and thrombotic manifestations of SARS-CoV-2 infectionbreakdown → | 2020 | 855 |
| 13 | 2020 | 13 | |
| 14 | 2020 | 0 | |
| 15 | 2019 | 40 | |
| 16 | 2019 | 205 | |
| 17 | 2019 | 18 | |
| 18 | 2019 | 1 | |
| 19 | 2019 | 49 | |
| 20 | 2018 | 34 |
About David E. Leaf
David E. Leaf is a scholar working on Nephrology, Critical Care and Intensive Care Medicine and Transplantation, having authored 111 papers that have together received 4.9k indexed citations. Recurring topics across this work include Acute Kidney Injury Research (20 papers), Parathyroid Disorders and Treatments (15 papers), COVID-19 Clinical Research Studies (14 papers), Chronic Kidney Disease and Diabetes (13 papers), Dialysis and Renal Disease Management (9 papers), Cancer Immunotherapy and Biomarkers (8 papers), Hemoglobinopathies and Related Disorders (7 papers) and Renal Transplantation Outcomes and Treatments (6 papers). The work is most often cited by research in Nephrology (1.3k citations), Internal Medicine (254 citations) and Infectious Diseases (985 citations). David E. Leaf has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include David S. Goldfarb, Sushrut S. Waikar, Miguel A. Hernán, Wei Wang, Shruti Gupta, Marta Christov, Hanny Al‐Samkari, Pavan K. Bendapudi, David J. Kuter and Anem Waheed. Their work appears in journals such as Journal of the American Society of Nephrology, Clinical Journal of the American Society of Nephrology, Kidney International, American Journal of Kidney Diseases and Journal of Clinical Medicine.
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.