Akram Alyass
Impact in
- Health Informatics top 10%
Papers in
- Genetics 7
- Genetic Associations and Epidemiology 7
- Nutrition, Genetics, and Disease 2
-
- Regulation of Appetite and Obesity 3
- Co-authors
- David Meyre (12 shared papers)Michelle Turcotte (1 shared paper)Carolina Stryjecki (4 shared papers)Peter Almgren (1 shared paper)Jonathan G. Dushoff (1 shared paper)Bo Isomaa (1 shared paper)Peter M. Nilsson (1 shared paper)Mikael Åkerlund (1 shared paper)
- Journals
- Scientific Reports (3 papers)BMJ Open (2 papers)CMAJ Open (2 papers)Obesity Reviews (2 papers)Diabetologia (1 paper)
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
Akram Alyass
28 papers receiving 1.3k citations
Akram Alyass's Hit Papers
Peers
Comparison fields: 5 of 145
- Health Informatics 25
- Health Information Management 47
- Genetics 283
- Endocrinology, Diabetes and Metabolism 122
- Endocrine and Autonomic Systems 49
Countries citing papers authored by Akram Alyass
This map shows the geographic impact of Akram Alyass'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 Akram Alyass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akram Alyass more than expected).
Fields of papers citing papers by Akram Alyass
This network shows the impact of papers produced by Akram Alyass. 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 Akram Alyass. The network helps show where Akram Alyass may publish in the future.
Co-authors
The 25 scholars most cited alongside Akram Alyass, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | From big data analysis to personalized medicine for all: challenges and opportunities Hit paper breakdown → | 2015 | 413 |
| 2 | 2020 | 150 | |
| 3 | 2014 | 119 | |
| 4 | 2017 | 113 | |
| 5 | 2017 | 96 | |
| 6 | 2019 | 91 | |
| 7 | 2021 | 60 | |
| 8 | 2015 | 44 | |
| 9 | 2016 | 40 | |
| 10 | 2017 | 38 | |
| 11 | 2015 | 37 | |
| 12 | 2015 | 28 | |
| 13 | 2016 | 25 | |
| 14 | 2021 | 18 | |
| 15 | 2018 | 16 | |
| 16 | 2018 | 15 | |
| 17 | 2018 | 13 | |
| 18 | 2019 | 11 | |
| 19 | 2019 | 11 | |
| 20 | 2015 | 9 |
About Akram Alyass
Akram Alyass is a scholar working on Genetics, Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism, Physiology and Rheumatology, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Regulation of Appetite and Obesity (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Total Knee Arthroplasty Outcomes (2 papers), Nutrition, Genetics, and Disease (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Epigenetics and DNA Methylation (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Health Informatics (25 citations), Health Information Management (47 citations), Genetics (283 citations), Endocrinology, Diabetes and Metabolism (122 citations) and Endocrine and Autonomic Systems (49 citations). Akram Alyass has collaborated with scholars based in Canada, United States and India. Frequent co-authors include David Meyre, Michelle Turcotte, Carolina Stryjecki, Peter Almgren, Jonathan G. Dushoff, Bo Isomaa, Peter M. Nilsson, Mikael Åkerlund, Leif Groop and Valeriya Lyssenko. Their work appears in journals such as Scientific Reports, BMJ Open, CMAJ Open, Obesity Reviews and Diabetologia.
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.