U Haagen
- Pulmonary and Respiratory Medicine top 10%
- Epidemiology
- Molecular Biology
- Critical Care and Intensive Care Medicine top 10%
- Social Psychology
- Co-authors
- Oliver HartmannKarl WegscheiderSven GiersdorfSantiago EwigEva HummersOlaf BurkhardtTobias WelteStefan Störk
- Topics
- Electrolyte and hormonal disorders (6 papers)Neonatal Respiratory Health Research (2 papers)Ion Transport and Channel Regulation (2 papers)
- Cited by
- Applied Microbiology and BiotechnologyCritical Care and Intensive Care MedicinePulmonary and Respiratory Medicine
- Journals
- The Journal of Clinical Endocrinology & MetabolismEuropean Respiratory JournalExperimental and Clinical Endocrinology & Diabetes
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
U Haagen
7 papers receiving 343 citations
Peers
Comparison fields: 5 of 51
- Pulmonary and Respiratory Medicine 213
- Epidemiology 105
- Molecular Biology 94
- Critical Care and Intensive Care Medicine 64
- Social Psychology 57
Countries citing papers authored by U Haagen
This map shows the geographic impact of U Haagen'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 U Haagen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites U Haagen more than expected).
Fields of papers citing papers by U Haagen
This network shows the impact of papers produced by U Haagen. 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 U Haagen. The network helps show where U Haagen may publish in the future.
Co-authorship network of co-authors of U Haagen
This figure shows the co-authorship network connecting the top 25 collaborators of U Haagen. A scholar is included among the top collaborators of U Haagen 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 U Haagen. U Haagen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | Copeptin in the differential diagnosis of the polydipsia-polyuria syndrome: revisiting the direct and indirect water deprivation tests | 2 |
| 3 | 122 | |
| 4 | 37 | |
| 5 | 56 | |
| 6 | 116 | |
| 7 | 5 |
About U Haagen
U Haagen is a scholar working on Applied Microbiology and Biotechnology, Critical Care and Intensive Care Medicine and Pulmonary and Respiratory Medicine, having authored 7 papers that have together received 352 indexed citations. Recurring topics across this work include Electrolyte and hormonal disorders (6 papers), Neonatal Respiratory Health Research (2 papers) and Ion Transport and Channel Regulation (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (36 citations), Critical Care and Intensive Care Medicine (64 citations) and Pulmonary and Respiratory Medicine (213 citations). U Haagen has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Oliver Hartmann, Karl Wegscheider, Sven Giersdorf, Santiago Ewig, Eva Hummers, Olaf Burkhardt, Tobias Welte, Stefan Störk, Bruno Allolio and Marcus Quinkler. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, European Respiratory Journal and Experimental and Clinical Endocrinology & Diabetes.
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.