Christina Lich
- Genetics top 2%
- Molecular Biology top 10%
- Pediatrics, Perinatology and Child Health top 2%
- Public Health, Environmental and Occupational Health
- Pathology and Forensic Medicine
- Co-authors
- Karin BuitingBernhard HorsthemkeMichael ZeschnigkWalter DoerflerOsman El‐MaarriGabriele Gillessen‐KaesbachStephanie GroßAngela Barnicoat
- Topics
- Genetic Syndromes and Imprinting (14 papers)Epigenetics and DNA Methylation (11 papers)Genomic variations and chromosomal abnormalities (8 papers)
- Partner nations
- GermanyAustriaUnited Kingdom
In The Last Decade
Christina Lich
16 papers receiving 975 citations
Peers
Comparison fields: 5 of 49
- Genetics 869
- Molecular Biology 805
- Pediatrics, Perinatology and Child Health 444
- Public Health, Environmental and Occupational Health 38
- Pathology and Forensic Medicine 34
Countries citing papers authored by Christina Lich
This map shows the geographic impact of Christina Lich'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 Christina Lich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Lich more than expected).
Fields of papers citing papers by Christina Lich
This network shows the impact of papers produced by Christina Lich. 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 Christina Lich. The network helps show where Christina Lich may publish in the future.
Co-authorship network of co-authors of Christina Lich
This figure shows the co-authorship network connecting the top 25 collaborators of Christina Lich. A scholar is included among the top collaborators of Christina Lich 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 Christina Lich. Christina Lich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 7 | |
| 3 | 57 | |
| 4 | 208 | |
| 5 | 18 | |
| 6 | 159 | |
| 7 | 50 | |
| 8 | 9 | |
| 9 | 20 | |
| 10 | 7 | |
| 11 | 62 | |
| 12 | 79 | |
| 13 | 44 | |
| 14 | 122 | |
| 15 | A single-tube PCR test for the diagnosis of Angelman and Prader-Willi syndrome based on allelic methylation differences at the SNRPN locus. | 135 |
| 16 | 28 |
About Christina Lich
Christina Lich is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetic Syndromes and Imprinting (14 papers), Epigenetics and DNA Methylation (11 papers) and Genomic variations and chromosomal abnormalities (8 papers). The work is most often cited by research in Genetics (869 citations), Pediatrics, Perinatology and Child Health (444 citations) and Molecular Biology (805 citations). Christina Lich has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Karin Buiting, Bernhard Horsthemke, Michael Zeschnigk, Walter Doerfler, Osman El‐Maarri, Gabriele Gillessen‐Kaesbach, Stephanie Groß, Angela Barnicoat, Klaus Wagner and S Cottrell. Their work appears in journals such as Nature Genetics, The American Journal of Human Genetics and Journal of Medical 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.