Gad Abraham
Impact in
- Genetics top 2%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- BRCA gene mutations in cancer
- Gastroenterology top 10%
Papers in
- Genetics 16
- Genetic Associations and Epidemiology 15
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- Gene expression and cancer classification 5
- Bioinformatics and Genomic Networks 4
- Co-authors
- Michael Inouye (21 shared papers)Samuel A. Lambert (2 shared papers)Yixuan Qiu (1 shared paper)Adam Kowalczyk (7 shared papers)Justin Zobel (4 shared papers)John Danesh (2 shared papers)Scott C. Ritchie (3 shared papers)Oneil G. Bhalala (3 shared papers)
- Journals
- BMC Bioinformatics (4 papers)PLoS ONE (3 papers)PLoS Genetics (2 papers)Stroke (2 papers)Nature Genetics (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Gad Abraham
25 papers receiving 1.9k citations
Gad Abraham's Hit Papers
Peers
Comparison fields: 5 of 143
- Genetics 1.0k
- Gastroenterology 61
- Cardiology and Cardiovascular Medicine 210
- Health Informatics 12
- Cancer Research 130
Countries citing papers authored by Gad Abraham
This map shows the geographic impact of Gad Abraham'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 Gad Abraham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gad Abraham more than expected).
Fields of papers citing papers by Gad Abraham
This network shows the impact of papers produced by Gad Abraham. 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 Gad Abraham. The network helps show where Gad Abraham may publish in the future.
Co-authors
The 25 scholars most cited alongside Gad Abraham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Towards clinical utility of polygenic risk scores Hit paper breakdown → | 2019 | 329 |
| 2 | The Polygenic Score Catalog as an open database for reproducibility and systematic evaluation Hit paper breakdown → | 2021 | 320 |
| 3 | 2016 | 209 | |
| 4 | 2014 | 176 | |
| 5 | 2017 | 175 | |
| 6 | 2019 | 108 | |
| 7 | 2012 | 76 | |
| 8 | 2009 | 73 | |
| 9 | 2015 | 69 | |
| 10 | 2014 | 65 | |
| 11 | 2010 | 63 | |
| 12 | 2017 | 43 | |
| 13 | 2016 | 36 | |
| 14 | 2021 | 32 | |
| 15 | 2019 | 26 | |
| 16 | 2012 | 25 | |
| 17 | 2015 | 18 | |
| 18 | 2021 | 18 | |
| 19 | 2014 | 16 | |
| 20 | 2020 | 14 |
About Gad Abraham
Gad Abraham is a scholar working on Genetics, Molecular Biology, Surgery, Gastroenterology and Pathology and Forensic Medicine, having authored 25 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (15 papers), Celiac Disease Research and Management (5 papers), Gene expression and cancer classification (5 papers), Lipoproteins and Cardiovascular Health (4 papers), Bioinformatics and Genomic Networks (4 papers), Genetic factors in colorectal cancer (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Genetics (1.0k citations), Gastroenterology (61 citations), Cardiology and Cardiovascular Medicine (210 citations), Health Informatics (12 citations) and Cancer Research (130 citations). Gad Abraham has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Michael Inouye, Samuel A. Lambert, Yixuan Qiu, Adam Kowalczyk, Justin Zobel, John Danesh, Scott C. Ritchie, Oneil G. Bhalala, Simon Jupp and Michael Chapman. Their work appears in journals such as BMC Bioinformatics, PLoS ONE, PLoS Genetics, Stroke and Nature 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.