Kim Chambert
Impact in
- Biological Psychiatry top 5%
- Genetics top 2%
- Genetic Associations and Epidemiology
- Genetics and Neurodevelopmental Disorders
- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
- Genetic Syndromes and Imprinting
Papers in
- Genetics 6
- Genomic variations and chromosomal abnormalities 4
- Genetic Associations and Epidemiology 3
- Genetic Syndromes and Imprinting 2
- Genomics and Rare Diseases 2
- Genetics and Neurodevelopmental Disorders 2
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- Bipolar Disorder and Treatment 1
- Co-authors
- Douglas M. Ruderfer (1 shared paper)Kirov George (1 shared paper)Michael C. O’Donovan (1 shared paper)Pamela Sklar (1 shared paper)Michael Owen (1 shared paper)Jennifer L. Moran (1 shared paper)
- Journals
- Molecular Psychiatry (3 papers)European Journal of Human Genetics (1 paper)Nature Genetics (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Kim Chambert
6 papers receiving 2.0k citations
Kim Chambert's Hit Papers
Peers
Comparison fields: 5 of 86
- Biological Psychiatry 106
- Genetics 1.2k
- Psychiatry and Mental health 510
- Speech and Hearing 63
- Cognitive Neuroscience 181
Countries citing papers authored by Kim Chambert
This map shows the geographic impact of Kim Chambert'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 Kim Chambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Chambert more than expected).
Fields of papers citing papers by Kim Chambert
This network shows the impact of papers produced by Kim Chambert. 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 Kim Chambert. The network helps show where Kim Chambert may publish in the future.
Co-authors
The 6 scholars most cited alongside Kim Chambert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4 Hit paper breakdown → | 2011 | 1099 |
| 2 | Whole-genome association study of bipolar disorder Hit paper breakdown → | 2008 | 581 |
| 3 | 2014 | 208 | |
| 4 | 2013 | 89 | |
| 5 | 2011 | 23 | |
| 6 | 2013 | 14 |
About Kim Chambert
Kim Chambert is a scholar working on Genetics, Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Molecular Biology and Surgery, having authored 6 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (4 papers), Genetic Associations and Epidemiology (3 papers), Genetic Syndromes and Imprinting (2 papers), Genomics and Rare Diseases (2 papers), Congenital heart defects research (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Helicobacter pylori-related gastroenterology studies (1 paper) and Bipolar Disorder and Treatment (1 paper). The work is most often cited by research in Biological Psychiatry (106 citations), Genetics (1.2k citations), Psychiatry and Mental health (510 citations), Speech and Hearing (63 citations) and Cognitive Neuroscience (181 citations). Kim Chambert has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Douglas M. Ruderfer, Kirov George, Michael C. O’Donovan, Pamela Sklar, Michael Owen and Jennifer L. Moran. Their work appears in journals such as Molecular Psychiatry, European Journal of Human Genetics, Nature Genetics and Human Molecular 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.