Dieter B. Wildenauer
- Genetics top 1%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Psychiatry and Mental health top 2%
- Cognitive Neuroscience top 5%
- Co-authors
- Sibylle G. SchwabMargot AlbusBernard LererM. TrixlerJoachim HallmayerDirk LichtermannWolfgang MaierMarcella Rietschel
- Topics
- Genetic Associations and Epidemiology (30 papers)Genomic variations and chromosomal abnormalities (16 papers)Genetics and Neurodevelopmental Disorders (14 papers)
- Partner nations
- GermanyAustraliaUnited States
In The Last Decade
Dieter B. Wildenauer
79 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 120
- Genetics 1.6k
- Molecular Biology 1.4k
- Cellular and Molecular Neuroscience 940
- Psychiatry and Mental health 590
- Cognitive Neuroscience 374
Countries citing papers authored by Dieter B. Wildenauer
This map shows the geographic impact of Dieter B. Wildenauer'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 Dieter B. Wildenauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dieter B. Wildenauer more than expected).
Fields of papers citing papers by Dieter B. Wildenauer
This network shows the impact of papers produced by Dieter B. Wildenauer. 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 Dieter B. Wildenauer. The network helps show where Dieter B. Wildenauer may publish in the future.
Co-authorship network of co-authors of Dieter B. Wildenauer
This figure shows the co-authorship network connecting the top 25 collaborators of Dieter B. Wildenauer. A scholar is included among the top collaborators of Dieter B. Wildenauer 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 Dieter B. Wildenauer. Dieter B. Wildenauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 34 | |
| 3 | 30 | |
| 4 | 4 | |
| 5 | 38 | |
| 6 | 13 | |
| 7 | 100 | |
| 8 | 62 | |
| 9 | 287 | |
| 10 | 41 | |
| 11 | 148 | |
| 12 | 130 | |
| 13 | 17 | |
| 14 | 42 | |
| 15 | 16 | |
| 16 | 32 | |
| 17 | 19 | |
| 18 | 18 | |
| 19 | 18 | |
| 20 | 33 |
About Dieter B. Wildenauer
Dieter B. Wildenauer is a scholar working on Genetics, Cellular and Molecular Neuroscience and Biological Psychiatry, having authored 79 papers that have together received 3.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (30 papers), Genomic variations and chromosomal abnormalities (16 papers) and Genetics and Neurodevelopmental Disorders (14 papers). The work is most often cited by research in Biological Psychiatry (208 citations), Genetics (1.6k citations) and Cellular and Molecular Neuroscience (940 citations). Dieter B. Wildenauer has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Sibylle G. Schwab, Margot Albus, Bernard Lerer, M. Trixler, Joachim Hallmayer, Dirk Lichtermann, Wolfgang Maier, Marcella Rietschel, Margitta Borrmann-Hassenbach and M. Borrmann. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.
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.