Daiane Hemerich
Impact in
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- Sperm and Testicular Function
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- Reproductive Biology and Fertility
Papers in
- Genetics 6
- Genetic Associations and Epidemiology 6
- Nutrition, Genetics, and Disease 1
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- Epigenetics and DNA Methylation 2
- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 1
- Pluripotent Stem Cells Research 1
- Metabolism, Diabetes, and Cancer 1
- Co-authors
- Séverine Le Gac (1 shared paper)Marcia de Almeida Monteiro Melo Ferraz (1 shared paper)Helena T. A. van Tol (1 shared paper)U. Besenfelder (1 shared paper)Tom A. E. Stout (1 shared paper)Hoon Suk Rho (1 shared paper)Peter L.A.M. Vos (1 shared paper)Michael Hölker (1 shared paper)
- Journals
- Genetic Epidemiology (1 paper)Nature Medicine (1 paper)Cardiovascular Research (1 paper)Frontiers in Cardiovascular Medicine (1 paper)The American Journal of Human Genetics (1 paper)
- Partner nations
- NetherlandsBrazilUnited Kingdom
In The Last Decade
Daiane Hemerich
9 papers receiving 181 citations
Peers
Comparison fields: 5 of 47
- Reproductive Medicine 31
- Public Health, Environmental and Occupational Health 73
- Agronomy and Crop Science 19
- Immunology 28
- Genetics 34
Countries citing papers authored by Daiane Hemerich
This map shows the geographic impact of Daiane Hemerich'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 Daiane Hemerich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daiane Hemerich more than expected).
Fields of papers citing papers by Daiane Hemerich
This network shows the impact of papers produced by Daiane Hemerich. 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 Daiane Hemerich. The network helps show where Daiane Hemerich may publish in the future.
Co-authors
The 25 scholars most cited alongside Daiane Hemerich, 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 | 2018 | 120 | |
| 2 | 2018 | 22 | |
| 3 | 2015 | 12 | |
| 4 | 2024 | 10 | |
| 5 | 2019 | 6 | |
| 6 | 2025 | 6 | |
| 7 | 2023 | 3 | |
| 8 | 2018 | 3 | |
| 9 | 2019 | 1 | |
| 10 | 2013 | 0 |
About Daiane Hemerich
Daiane Hemerich is a scholar working on Genetics, Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery and Pediatrics, Perinatology and Child Health, having authored 10 papers that have together received 183 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Epigenetics and DNA Methylation (2 papers), Bioinformatics and Genomic Networks (2 papers), Cardiovascular Health and Disease Prevention (1 paper), Gene expression and cancer classification (1 paper), Nutrition, Genetics, and Disease (1 paper), Pluripotent Stem Cells Research (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Reproductive Medicine (31 citations), Public Health, Environmental and Occupational Health (73 citations), Agronomy and Crop Science (19 citations), Immunology (28 citations) and Genetics (34 citations). Daiane Hemerich has collaborated with scholars based in Netherlands, Brazil and United Kingdom. Frequent co-authors include Séverine Le Gac, Marcia de Almeida Monteiro Melo Ferraz, Helena T. A. van Tol, U. Besenfelder, Tom A. E. Stout, Hoon Suk Rho, Peter L.A.M. Vos, Michael Hölker, Bart M. Gadella and Heiko Henning. Their work appears in journals such as Genetic Epidemiology, Nature Medicine, Cardiovascular Research, Frontiers in Cardiovascular Medicine and The American Journal of Human 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.