Daniel E. Leisman
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- Trauma, Hemostasis, Coagulopathy, Resuscitation 3
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies 4
- Neurology top 5%
- Nephrology top 5%
- Renal function and acid-base balance 3
- Emergency Medicine top 5%
- Cardiac Arrest and Resuscitation 4
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- Sepsis Diagnosis and Treatment 18
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- Hemodynamic Monitoring and Therapy 6
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- Blood Pressure and Hypertension Studies 5
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- Machine Learning in Healthcare 3
- Co-authors
- Clifford S. DeutschmanMatthew TaylorRachel PinottiMatthieu LegrandLukas RonnerPratik SinhaCarolyn S. CalfeeCameron J. Turtle
- Journals
- Critical Care Medicine (8 papers)Annals of Emergency Medicine (2 papers)Critical Care (2 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Daniel E. Leisman
30 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Critical Care and Intensive Care Medicine 202
- Infectious Diseases 416
- Neurology 251
- Nephrology 107
- Emergency Medicine 142
Countries citing papers authored by Daniel E. Leisman
This map shows the geographic impact of Daniel E. Leisman'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 Daniel E. Leisman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Leisman more than expected).
Fields of papers citing papers by Daniel E. Leisman
This network shows the impact of papers produced by Daniel E. Leisman. 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 Daniel E. Leisman. The network helps show where Daniel E. Leisman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel E. Leisman, 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 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 5 | |
| 6 | 2023 | 10 | |
| 7 | 2020 | 42 | |
| 8 | Cytokine elevation in severe and critical COVID-19: a rapid systematic review, meta-analysis, and comparison with other inflammatory syndromesbreakdown → | 2020 | 551 |
| 9 | 2020 | 16 | |
| 10 | 2020 | 6 | |
| 11 | 2019 | 4 | |
| 12 | 2018 | 1 | |
| 13 | 2017 | 35 | |
| 14 | 2017 | 4 | |
| 15 | 2017 | 51 | |
| 16 | 2016 | 79 | |
| 17 | 2016 | 11 | |
| 18 | 2016 | 21 | |
| 19 | 2014 | 10 | |
| 20 | 2013 | 12 |
About Daniel E. Leisman
Daniel E. Leisman is a scholar working on Critical Care and Intensive Care Medicine, Nephrology and Emergency Medicine, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (18 papers), Hemodynamic Monitoring and Therapy (6 papers), Blood Pressure and Hypertension Studies (5 papers), Cardiac Arrest and Resuscitation (4 papers), COVID-19 Clinical Research Studies (4 papers), Machine Learning in Healthcare (3 papers), Renal function and acid-base balance (3 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (202 citations), Infectious Diseases (416 citations) and Neurology (251 citations). Daniel E. Leisman has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Clifford S. Deutschman, Matthew Taylor, Rachel Pinotti, Matthieu Legrand, Lukas Ronner, Pratik Sinha, Carolyn S. Calfee, Cameron J. Turtle, Michael O. Harhay and Alexandre V. Hirayama. Their work appears in journals such as Critical Care Medicine, Annals of Emergency Medicine, Critical Care, Journal of Intensive Care Medicine and Annals of Intensive Care.
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.