Christian Stricker
- Cellular and Molecular Neuroscience top 2%
- Genetics top 5%
- Cognitive Neuroscience top 5%
- Molecular Biology
- Plant Science top 10%
- Co-authors
- Stephen RedmanRohan L. FernandoA C FieldAnna I. CowanRobert C. ElstonBao-Xi GaoLea Ziskind‐ConhaimAllen Cheung
- Topics
- Genetic and phenotypic traits in livestock (18 papers)Neuroscience and Neuropharmacology Research (18 papers)Genetic Mapping and Diversity in Plants and Animals (17 papers)
- Partner nations
- SwitzerlandAustraliaUnited States
In The Last Decade
Christian Stricker
69 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 122
- Cellular and Molecular Neuroscience 772
- Genetics 668
- Cognitive Neuroscience 504
- Molecular Biology 463
- Plant Science 226
Countries citing papers authored by Christian Stricker
This map shows the geographic impact of Christian Stricker'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 Christian Stricker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Stricker more than expected).
Fields of papers citing papers by Christian Stricker
This network shows the impact of papers produced by Christian Stricker. 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 Christian Stricker. The network helps show where Christian Stricker may publish in the future.
Co-authorship network of co-authors of Christian Stricker
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Stricker. A scholar is included among the top collaborators of Christian Stricker 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 Christian Stricker. Christian Stricker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 6 | |
| 4 | 13 | |
| 5 | 5 | |
| 6 | 43 | |
| 7 | 18 | |
| 8 | 3 | |
| 9 | 13 | |
| 10 | 153 | |
| 11 | Algorithms to compute allele state and origin probabilities for QTL mapping. | 1 |
| 12 | Moving from BLUP to marker-assisted BLUP for genetic evaluations | 1 |
| 13 | 98 | |
| 14 | 4 | |
| 15 | 22 | |
| 16 | Genes specifying receptors for F18 fimbriated Escherichia coli, causing oedema disease and postweaning diarrhoea in pigs, map to chromosome 6. | 56 |
| 17 | 25 | |
| 18 | 2 | |
| 19 | 27 | |
| 20 | 3 |
About Christian Stricker
Christian Stricker is a scholar working on Cellular and Molecular Neuroscience, Acoustics and Ultrasonics and Biophysics, having authored 70 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (18 papers), Neuroscience and Neuropharmacology Research (18 papers) and Genetic Mapping and Diversity in Plants and Animals (17 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (772 citations), Cognitive Neuroscience (504 citations) and Genetics (668 citations). Christian Stricker has collaborated with scholars based in Switzerland, Australia and United States. Frequent co-authors include Stephen Redman, Rohan L. Fernando, A C Field, Anna I. Cowan, Robert C. Elston, Bao-Xi Gao, Lea Ziskind‐Conhaim, Allen Cheung, Mandyam V. Srinivasan and Shaowu Zhang. Their work appears in journals such as Applied Physics Letters, The Journal of Physiology and Journal of Neurophysiology.
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.