Christine Proença
Impact in
- Genetics top 2%
- Genetic Associations and Epidemiology
- Diabetes and associated disorders
- Genetic Mapping and Diversity in Plants and Animals
Papers in
- Genetics 5
- Genetic Associations and Epidemiology 5
- Genetics and Neurodevelopmental Disorders 2
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- RNA modifications and cancer 4
- Cancer-related gene regulation 1
- Epigenetics and DNA Methylation 1
- Peroxisome Proliferator-Activated Receptors 1
- Co-authors
- Philippe Froguel (4 shared papers)Michel Marre (4 shared papers)Beverley Balkau (4 shared papers)Stéphane Cauchi (3 shared papers)Jean Tichet (3 shared papers)David Meyre (3 shared papers)Guillaume Charpentier (3 shared papers)Martine Vaxillaire (2 shared papers)
- Journals
- Nature Genetics (2 papers)Journal of Molecular Medicine (1 paper)Diabetes (1 paper)Obesity (1 paper)PLoS ONE (1 paper)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Christine Proença
8 papers receiving 2.5k citations
Christine Proença's Hit Papers
Peers
Comparison fields: 5 of 102
- Genetics 1.3k
- Endocrinology, Diabetes and Metabolism 327
- Endocrine and Autonomic Systems 124
- Molecular Biology 903
- Physiology 290
Countries citing papers authored by Christine Proença
This map shows the geographic impact of Christine Proença'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 Christine Proença with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine Proença more than expected).
Fields of papers citing papers by Christine Proença
This network shows the impact of papers produced by Christine Proença. 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 Christine Proença. The network helps show where Christine Proença may publish in the future.
Co-authors
The 25 scholars most cited alongside Christine Proença, 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 | Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis Hit paper breakdown → | 2010 | 1474 |
| 2 | 2009 | 540 | |
| 3 | 2008 | 134 | |
| 4 | 2007 | 134 | |
| 5 | 2014 | 96 | |
| 6 | 2008 | 79 | |
| 7 | 2008 | 66 | |
| 8 | 2007 | 9 |
About Christine Proença
Christine Proença is a scholar working on Genetics, Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology and Insect Science, having authored 8 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (5 papers), RNA modifications and cancer (4 papers), Genetics and Neurodevelopmental Disorders (2 papers), Cancer-related gene regulation (1 paper), Nuclear Receptors and Signaling (1 paper), Epigenetics and DNA Methylation (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Genetics (1.3k citations), Endocrinology, Diabetes and Metabolism (327 citations), Endocrine and Autonomic Systems (124 citations), Molecular Biology (903 citations) and Physiology (290 citations). Christine Proença has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Philippe Froguel, Michel Marre, Beverley Balkau, Stéphane Cauchi, Jean Tichet, David Meyre, Guillaume Charpentier, Martine Vaxillaire, Christian Dina and Hélène Choquet. Their work appears in journals such as Nature Genetics, Journal of Molecular Medicine, Diabetes, Obesity and PLoS ONE.
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.