Beate Weikert
- General Health Professions top 10%
- Social Psychology
- Statistics, Probability and Uncertainty top 5%
- Epidemiology
- Psychiatry and Mental health
- Co-authors
- Alba FishtaUta WegewitzAnja JacobsDawid PieperPetra GastmeierAndrea PfennigDaniel StrechMichael Bauer
- Topics
- Health and Medical Studies (4 papers)Health Systems, Economic Evaluations, Quality of Life (4 papers)Clinical practice guidelines implementation (3 papers)
- Journals
- The Journal of Clinical PsychiatryClinical Microbiology and InfectionBMC Medical Research Methodology
- Partner nations
- GermanyUnited KingdomNetherlands
In The Last Decade
Beate Weikert
19 papers receiving 342 citations
Peers
Comparison fields: 5 of 78
- General Health Professions 158
- Social Psychology 58
- Statistics, Probability and Uncertainty 54
- Epidemiology 44
- Psychiatry and Mental health 41
Countries citing papers authored by Beate Weikert
This map shows the geographic impact of Beate Weikert'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 Beate Weikert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beate Weikert more than expected).
Fields of papers citing papers by Beate Weikert
This network shows the impact of papers produced by Beate Weikert. 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 Beate Weikert. The network helps show where Beate Weikert may publish in the future.
Co-authorship network of co-authors of Beate Weikert
This figure shows the co-authorship network connecting the top 25 collaborators of Beate Weikert. A scholar is included among the top collaborators of Beate Weikert 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 Beate Weikert. Beate Weikert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 27 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 141 | |
| 9 | 22 | |
| 10 | 2 | |
| 11 | 48 | |
| 12 | 9 | |
| 13 | 5 | |
| 14 | 16 | |
| 15 | 1 | |
| 16 | 15 | |
| 17 | 16 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 7 |
About Beate Weikert
Beate Weikert is a scholar working on Medical Terminology, Applied Microbiology and Biotechnology and Statistics, Probability and Uncertainty, having authored 20 papers that have together received 347 indexed citations. Recurring topics across this work include Health and Medical Studies (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers) and Clinical practice guidelines implementation (3 papers). The work is most often cited by research in Medical Terminology (4 citations), Statistics, Probability and Uncertainty (54 citations) and General Health Professions (158 citations). Beate Weikert has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Alba Fishta, Uta Wegewitz, Anja Jacobs, Dawid Pieper, Petra Gastmeier, Andrea Pfennig, Daniel Strech, Michael Bauer, Christine Geffers and Miriam Wiese‐Posselt. Their work appears in journals such as The Journal of Clinical Psychiatry, Clinical Microbiology and Infection and BMC Medical Research Methodology.
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.