Danny Ben‐Avraham
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
-
- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock
- Genomics and Rare Diseases
Papers in
-
- RNA and protein synthesis mechanisms 2
- Epigenetics and DNA Methylation 2
- Genetics 6
- Genetics and Neurodevelopmental Disorders 3
- Genomics and Rare Diseases 3
- Genetic Associations and Epidemiology 2
- Genetic and phenotypic traits in livestock 1
- Co-authors
- Gil Atzmon (9 shared papers)J. Hillel (3 shared papers)Nir Barzilai (6 shared papers)Radhika Muzumdar (1 shared paper)Kirsty L. Wells (1 shared paper)A. Cahaner (1 shared paper)Denis J. Headon (1 shared paper)Stacy L. Andersen (1 shared paper)
- Journals
- Animal Genetics (1 paper)Molecular Genetics and Genomics (1 paper)BMC Genomics (1 paper)Genetics Research (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Danny Ben‐Avraham
12 papers receiving 348 citations
Peers
Comparison fields: 5 of 88
- Aging 89
- Genetics 128
- Neuropsychology and Physiological Psychology 6
- Animal Science and Zoology 33
- Geriatrics and Gerontology 11
Countries citing papers authored by Danny Ben‐Avraham
This map shows the geographic impact of Danny Ben‐Avraham'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 Danny Ben‐Avraham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danny Ben‐Avraham more than expected).
Fields of papers citing papers by Danny Ben‐Avraham
This network shows the impact of papers produced by Danny Ben‐Avraham. 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 Danny Ben‐Avraham. The network helps show where Danny Ben‐Avraham may publish in the future.
Co-authors
The 25 scholars most cited alongside Danny Ben‐Avraham, 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 | 2017 | 73 | |
| 2 | 2012 | 71 | |
| 3 | 2014 | 51 | |
| 4 | 2017 | 46 | |
| 5 | 2012 | 40 | |
| 6 | 2007 | 21 | |
| 7 | 2018 | 15 | |
| 8 | 2014 | 12 | |
| 9 | 2016 | 8 | |
| 10 | 2014 | 8 | |
| 11 | 2006 | 7 | |
| 12 | 2016 | 7 |
About Danny Ben‐Avraham
Danny Ben‐Avraham is a scholar working on Molecular Biology, Genetics, Animal Science and Zoology, Endocrinology, Diabetes and Metabolism and Occupational Therapy, having authored 12 papers that have together received 359 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (3 papers), Genomics and Rare Diseases (3 papers), Genetic Associations and Epidemiology (2 papers), RNA and protein synthesis mechanisms (2 papers), Livestock and Poultry Management (2 papers), Epigenetics and DNA Methylation (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Aging (89 citations), Genetics (128 citations), Neuropsychology and Physiological Psychology (6 citations), Animal Science and Zoology (33 citations) and Geriatrics and Gerontology (11 citations). Danny Ben‐Avraham has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Gil Atzmon, J. Hillel, Nir Barzilai, Radhika Muzumdar, Kirsty L. Wells, A. Cahaner, Denis J. Headon, Stacy L. Andersen, Alberto Malovini and Paola Sebastiani. Their work appears in journals such as Animal Genetics, Molecular Genetics and Genomics, BMC Genomics, Genetics Research 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.