Daniel Dankl
Impact in
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- Ultrasound in Clinical Applications
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- Cardiac Arrest and Resuscitation
Papers in
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- COVID-19 Clinical Research Studies 4
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- Long-Term Effects of COVID-19 4
- Co-authors
- Martin W. Dünser (6 shared papers)Andreas Brunauer (4 shared papers)Ilse Gradwohl-Matis (4 shared papers)Andreas Koköfer (4 shared papers)Jan Bakker (1 shared paper)Bernhard Wernly (4 shared papers)Venet Osmani (2 shared papers)Heimo Mairbäurl (3 shared papers)
- Journals
- Annals of Intensive Care (2 papers)European Heart Journal (2 papers)High Altitude Medicine & Biology (1 paper)Journal of Critical Care (1 paper)Anesthesia & Analgesia (1 paper)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Daniel Dankl
20 papers receiving 299 citations
Peers
Comparison fields: 5 of 50
- Critical Care and Intensive Care Medicine 50
- Emergency Medicine 32
- Nephrology 25
- Endocrine and Autonomic Systems 14
- Epidemiology 67
Countries citing papers authored by Daniel Dankl
This map shows the geographic impact of Daniel Dankl'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 Dankl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Dankl more than expected).
Fields of papers citing papers by Daniel Dankl
This network shows the impact of papers produced by Daniel Dankl. 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 Dankl. The network helps show where Daniel Dankl may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Dankl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 73 | |
| 2 | 2016 | 36 | |
| 3 | 2014 | 32 | |
| 4 | 2020 | 32 | |
| 5 | 2022 | 22 | |
| 6 | 2017 | 19 | |
| 7 | 2021 | 16 | |
| 8 | 2019 | 13 | |
| 9 | 2014 | 13 | |
| 10 | 2015 | 10 | |
| 11 | 2018 | 9 | |
| 12 | 2021 | 9 | |
| 13 | 2022 | 7 | |
| 14 | 2020 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2025 | 3 | |
| 17 | 2021 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2018 | 1 | |
| 20 | 2022 | 1 |
About Daniel Dankl
Daniel Dankl is a scholar working on Infectious Diseases, Neurology, Pulmonary and Respiratory Medicine, Epidemiology and Genetics, having authored 21 papers that have together received 308 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Long-Term Effects of COVID-19 (4 papers), High Altitude and Hypoxia (3 papers), Sepsis Diagnosis and Treatment (3 papers), Respiratory Support and Mechanisms (2 papers), Cardiac Arrest and Resuscitation (2 papers), Acute Kidney Injury Research (2 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (50 citations), Emergency Medicine (32 citations), Nephrology (25 citations), Endocrine and Autonomic Systems (14 citations) and Epidemiology (67 citations). Daniel Dankl has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Martin W. Dünser, Andreas Brunauer, Ilse Gradwohl-Matis, Andreas Koköfer, Jan Bakker, Bernhard Wernly, Venet Osmani, Heimo Mairbäurl, Marc Moritz Berger and Richard Rezar. Their work appears in journals such as Annals of Intensive Care, European Heart Journal, High Altitude Medicine & Biology, Journal of Critical Care and Anesthesia & Analgesia.
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.