D Häussinger
- Hepatology top 2%
- Physiology top 10%
- Epidemiology top 10%
- Surgery
- Molecular Biology
- Co-authors
- Stephan vom DahlG. KircheisFreimut SchliessRichard FischerMichael S. KilbergDietrich KepplerDonatella D’UrsoRalf Kubitz
- Topics
- Metabolism and Genetic Disorders (8 papers)Liver Disease Diagnosis and Treatment (7 papers)Liver Disease and Transplantation (7 papers)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
D Häussinger
35 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 106
- Hepatology 337
- Physiology 324
- Epidemiology 283
- Surgery 258
- Molecular Biology 233
Countries citing papers authored by D Häussinger
This map shows the geographic impact of D Häussinger'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 D Häussinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D Häussinger more than expected).
Fields of papers citing papers by D Häussinger
This network shows the impact of papers produced by D Häussinger. 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 D Häussinger. The network helps show where D Häussinger may publish in the future.
Co-authorship network of co-authors of D Häussinger
This figure shows the co-authorship network connecting the top 25 collaborators of D Häussinger. A scholar is included among the top collaborators of D Häussinger 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 D Häussinger. D Häussinger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | 339 | |
| 8 | Liver and nervous system : proceedings of the Falk Symposium 103 (Part III of the Liver Week in Freiburg 1997) held in Freiburg, Germany, October 4-5, 1997 | 1 |
| 9 | First long-term results of imiglucerase therapy of type 1 Gaucher disease. | 16 |
| 10 | 9 | |
| 11 | 14 | |
| 12 | 93 | |
| 13 | -Cardiomyopathy as the cause of death in genetic hemochromatosis-. | 4 |
| 14 | 7 | |
| 15 | 86 | |
| 16 | 332 | |
| 17 | Mammalian amino acid transport: mechanisms and control. | 71 |
| 18 | 12 | |
| 19 | 15 | |
| 20 | 10 |
About D Häussinger
D Häussinger is a scholar working on Clinical Biochemistry, Hepatology and Nephrology, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (8 papers), Liver Disease Diagnosis and Treatment (7 papers) and Liver Disease and Transplantation (7 papers). The work is most often cited by research in Hepatology (337 citations), Clinical Biochemistry (127 citations) and Biochemistry (112 citations). D Häussinger has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Stephan vom Dahl, G. Kircheis, Freimut Schliess, Richard Fischer, Michael S. Kilberg, Dietrich Keppler, Donatella D’Urso, Ralf Kubitz, W. Gerok and Helmut Sies. Their work appears in journals such as The Lancet, Gastroenterology and American Journal of Clinical Nutrition.
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.