Hauke Paarmann
- Cardiology and Cardiovascular Medicine top 10%
- Critical Care and Intensive Care Medicine top 2%
- Surgery
- Pulmonary and Respiratory Medicine
- Anesthesiology and Pain Medicine top 5%
- Co-authors
- Matthias HeringlakeJulika SchönMichael HueppeJulika SchoenEfstratios I. CharitosJan KarstenThorsten HankeHermann Heinze
- Topics
- Cardiac, Anesthesia and Surgical Outcomes (8 papers)Hemodynamic Monitoring and Therapy (6 papers)Acute Kidney Injury Research (6 papers)
- Cited by
- Critical Care and Intensive Care MedicineDevelopmental NeuroscienceAnesthesiology and Pain Medicine
- Partner nations
- GermanyCzechiaUnited States
In The Last Decade
Hauke Paarmann
27 papers receiving 491 citations
Peers
Comparison fields: 5 of 57
- Cardiology and Cardiovascular Medicine 209
- Critical Care and Intensive Care Medicine 162
- Surgery 147
- Pulmonary and Respiratory Medicine 93
- Anesthesiology and Pain Medicine 85
Countries citing papers authored by Hauke Paarmann
This map shows the geographic impact of Hauke Paarmann'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 Hauke Paarmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hauke Paarmann more than expected).
Fields of papers citing papers by Hauke Paarmann
This network shows the impact of papers produced by Hauke Paarmann. 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 Hauke Paarmann. The network helps show where Hauke Paarmann may publish in the future.
Co-authorship network of co-authors of Hauke Paarmann
This figure shows the co-authorship network connecting the top 25 collaborators of Hauke Paarmann. A scholar is included among the top collaborators of Hauke Paarmann 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 Hauke Paarmann. Hauke Paarmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 12 | |
| 3 | 30 | |
| 4 | 3 | |
| 5 | 35 | |
| 6 | 5 | |
| 7 | 16 | |
| 8 | 6 | |
| 9 | 9 | |
| 10 | 29 | |
| 11 | 159 | |
| 12 | 18 | |
| 13 | 11 | |
| 14 | 31 | |
| 15 | 7 | |
| 16 | [The treatment of multiple sclerosis with anabolic steroids]. | 1 |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 11 | |
| 20 | 10 |
About Hauke Paarmann
Hauke Paarmann is a scholar working on Critical Care and Intensive Care Medicine, Nephrology and Anesthesiology and Pain Medicine, having authored 27 papers that have together received 510 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (8 papers), Hemodynamic Monitoring and Therapy (6 papers) and Acute Kidney Injury Research (6 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (162 citations), Developmental Neuroscience (84 citations) and Anesthesiology and Pain Medicine (85 citations). Hauke Paarmann has collaborated with scholars based in Germany, Czechia and United States. Frequent co-authors include Matthias Heringlake, Julika Schön, Michael Hueppe, Julika Schoen, Efstratios I. Charitos, Jan Karsten, Thorsten Hanke, Hermann Heinze, Beate Sedemund‐Adib and Heinrich V. Groesdonk. Their work appears in journals such as Journal of the American College of Cardiology, Critical Care and British Journal of Anaesthesia.
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.