Heide A. Stirnadel
- Genetics top 10%
- Epidemiology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Physiology top 10%
- Molecular Biology
- Co-authors
- Dieter EbertVincent MooserDawn WaterworthGérard WaeberKijoung SongXin YuanPéter VollenweiderMurielle Bochud
- Topics
- Liver Disease Diagnosis and Treatment (5 papers)Genetic Associations and Epidemiology (4 papers)Drug-Induced Hepatotoxicity and Protection (4 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Heide A. Stirnadel
18 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Genetics 324
- Epidemiology 260
- Public Health, Environmental and Occupational Health 238
- Physiology 204
- Molecular Biology 164
Countries citing papers authored by Heide A. Stirnadel
This map shows the geographic impact of Heide A. Stirnadel'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 Heide A. Stirnadel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heide A. Stirnadel more than expected).
Fields of papers citing papers by Heide A. Stirnadel
This network shows the impact of papers produced by Heide A. Stirnadel. 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 Heide A. Stirnadel. The network helps show where Heide A. Stirnadel may publish in the future.
Co-authorship network of co-authors of Heide A. Stirnadel
This figure shows the co-authorship network connecting the top 25 collaborators of Heide A. Stirnadel. A scholar is included among the top collaborators of Heide A. Stirnadel 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 Heide A. Stirnadel. Heide A. Stirnadel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 13 | |
| 3 | 92 | |
| 4 | 127 | |
| 5 | 4 | |
| 6 | 19 | |
| 7 | 12 | |
| 8 | The CoLaus study: a population-based study to investigate the epidemiology and genetic determinants of cardiovascular risk factors and metabolic syndromebreakdown → | 520 |
| 9 | 26 | |
| 10 | 13 | |
| 11 | 16 | |
| 12 | 57 | |
| 13 | 86 | |
| 14 | 13 | |
| 15 | 18 | |
| 16 | 32 | |
| 17 | 41 | |
| 18 | 137 |
About Heide A. Stirnadel
Heide A. Stirnadel is a scholar working on Virology, Pharmacology and Epidemiology, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Genetic Associations and Epidemiology (4 papers) and Drug-Induced Hepatotoxicity and Protection (4 papers). The work is most often cited by research in Genetics (324 citations), Virology (53 citations) and Public Health, Environmental and Occupational Health (238 citations). Heide A. Stirnadel has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Dieter Ebert, Vincent Mooser, Dawn Waterworth, Gérard Waeber, Kijoung Song, Xin Yuan, Péter Vollenweider, Murielle Bochud, Daniel Hayoz and Theodore M. Danoff. Their work appears in journals such as Genome Research, Diabetologia and Journal of Animal Ecology.
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.