Hans Hauner
- Physiology top 0.05%
- Epidemiology top 0.1%
- Molecular Biology top 1%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Surgery top 0.5%
- Co-authors
- Thomas SkurkMartin WabitschK RöhrigChristian HerderChristina HolzapfelVanessa van HarmelenE. HeinzeIan D. Caterson
- Topics
- Adipose Tissue and Metabolism (99 papers)Diet and metabolism studies (82 papers)Adipokines, Inflammation, and Metabolic Diseases (73 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Hans Hauner
472 papers receiving 22.0k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Physiology 8.7k
- Epidemiology 6.6k
- Molecular Biology 4.6k
- Endocrinology, Diabetes and Metabolism 3.5k
- Surgery 3.3k
Countries citing papers authored by Hans Hauner
This map shows the geographic impact of Hans Hauner'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 Hans Hauner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Hauner more than expected).
Fields of papers citing papers by Hans Hauner
This network shows the impact of papers produced by Hans Hauner. 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 Hans Hauner. The network helps show where Hans Hauner may publish in the future.
Co-authorship network of co-authors of Hans Hauner
This figure shows the co-authorship network connecting the top 25 collaborators of Hans Hauner. A scholar is included among the top collaborators of Hans Hauner 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 Hans Hauner. Hans Hauner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 9 | |
| 10 | 10 | |
| 11 | 11 | |
| 12 | 8 | |
| 13 | 19 | |
| 14 | 6 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | Quantitative Empfehlung zur Zuckerzufuhr in Deutschland: Kurzfassung des Konsensuspapiers der Deutschen Adipositas-Gesellschaft e. V. (DAG), der Deutschen Diabetes Gesellschaft e. V. (DDG) und der Deutschen Gesellschaft für Ernährung e. V. (DGE) | 5 |
| 18 | 16 | |
| 19 | Replicating the PROactive trial of pioghtazone in subjects with diabetes and raised cardiovascular risk with the EAGLE model | 1 |
| 20 | [Nutrition and metabolic syndrome]. | 4 |
About Hans Hauner
Hans Hauner is a scholar working on Pharmacy, Physiology and Obstetrics and Gynecology, having authored 503 papers that have together received 22.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (99 papers), Diet and metabolism studies (82 papers) and Adipokines, Inflammation, and Metabolic Diseases (73 papers). The work is most often cited by research in Physiology (8.7k citations), Endocrine and Autonomic Systems (2.2k citations) and Endocrinology, Diabetes and Metabolism (3.5k citations). Hans Hauner has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Thomas Skurk, Martin Wabitsch, K Röhrig, Christian Herder, Christina Holzapfel, Vanessa van Harmelen, E. Heinze, Ian D. Caterson, Susan A. Jebb and Nicholas R. Fuller. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.