Akram Alyass

1.8k total citations · 1 hit paper
23 papers, 896 citations indexed

About

Akram Alyass is a scholar working on Surgery, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Akram Alyass has authored 23 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Molecular Biology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Akram Alyass's work include Genetic Associations and Epidemiology (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Regulation of Appetite and Obesity (3 papers). Akram Alyass is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Regulation of Appetite and Obesity (3 papers). Akram Alyass collaborates with scholars based in Canada, Mexico and India. Akram Alyass's co-authors include David Meyre, Michelle Turcotte, Carolina Stryjecki, Leif Groop, Bo Isomaa, Valeriya Lyssenko, Mikael Åkerlund, Jonathan Dushoff, Peter Almgren and Peter M. Nilsson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes and Scientific Reports.

In The Last Decade

Akram Alyass

23 papers receiving 874 citations

Hit Papers

From big data analysis to personalized medicine for all: ... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Akram Alyass Canada 13 285 160 149 125 108 23 896
Samuel A. Stewart Canada 17 356 1.2× 245 1.5× 143 1.0× 195 1.6× 141 1.3× 84 1.4k
Julia S. El-Sayed Moustafa United Kingdom 14 288 1.0× 275 1.7× 115 0.8× 74 0.6× 204 1.9× 27 1.6k
Susan Park South Korea 20 409 1.4× 193 1.2× 224 1.5× 58 0.5× 215 2.0× 81 1.5k
Marquitta J. White United States 16 175 0.6× 210 1.3× 241 1.6× 56 0.4× 106 1.0× 29 985
Wendy A. Wolf United States 14 229 0.8× 299 1.9× 139 0.9× 158 1.3× 45 0.4× 35 813
Jennifer Gill United States 17 173 0.6× 161 1.0× 102 0.7× 98 0.8× 45 0.4× 51 1.1k
Jian Lu China 21 310 1.1× 107 0.7× 83 0.6× 96 0.8× 80 0.7× 55 1.2k
Endeshaw Chekol Abebe Ethiopia 16 258 0.9× 76 0.5× 61 0.4× 84 0.7× 66 0.6× 67 1.1k
Weiwei Gong China 18 148 0.5× 77 0.5× 230 1.5× 215 1.7× 140 1.3× 91 1.1k
Benoît Tyl France 14 182 0.6× 148 0.9× 112 0.8× 64 0.5× 82 0.8× 28 808

Countries citing papers authored by Akram Alyass

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Akram Alyass

This figure shows the co-authorship network connecting the top 25 collaborators of Akram Alyass. A scholar is included among the top collaborators of Akram Alyass based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akram Alyass. Akram Alyass is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Malanga, Gerard A., et al.. (2021). Delay to TKA in Patients Treated with a Multimodal Approach Using High Molecular Weight, Biologically Derived Hyaluronic Acid. Journal of Long-Term Effects of Medical Implants. 31(3). 45–50. 1 indexed citations
2.
Sunderji, Nadiya, et al.. (2021). Conceptualizing success factors for patient engagement in patient medical homes: a cross-sectional survey. CMAJ Open. 9(4). E1159–E1167. 2 indexed citations
3.
Naji, Leen, Ajay Shah, Faysal Naji, et al.. (2021). Global prevalence of burnout among postgraduate medical trainees: a systematic review and meta-regression. CMAJ Open. 9(1). E189–E200. 47 indexed citations
4.
Concoff, Andrew L., Faizan Niazi, Forough Farrokhyar, et al.. (2021). Delay to TKA and Costs Associated with Knee Osteoarthritis Care Using Intra-Articular Hyaluronic Acid: Analysis of an Administrative Database. SHILAP Revista de lepidopterología. 14. 15 indexed citations
5.
Nicholls, Mathew, Peter Shaw, Faizan Niazi, et al.. (2020). Intra-articular hyaluronic acid delay to total knee by number of injection courses received: analysis of an administrative database. Osteoarthritis and Cartilage. 28. S451–S451. 1 indexed citations
6.
Stryjecki, Carolina, Hudson Reddon, Jesús Peralta‐Romero, et al.. (2019). Adiponectin is associated with cardio-metabolic traits in Mexican children. Scientific Reports. 9(1). 3084–3084. 11 indexed citations
8.
Alyass, Akram, Arkan Abadi, Jesús Peralta‐Romero, et al.. (2018). Fine-mapping of 98 obesity loci in Mexican children. International Journal of Obesity. 43(1). 23–32. 13 indexed citations
9.
Qasim, Anila, Alexandra Mayhew, Sahar Ehtesham, et al.. (2018). Gain‐of‐function variants in the melanocortin 4 receptor gene confer susceptibility to binge eating disorder in subjects with obesity: a systematic review and meta‐analysis. Obesity Reviews. 20(1). 13–21. 14 indexed citations
10.
Langlois, Christine, Akram Alyass, Fereshteh Yazdi, et al.. (2017). Rationale and design of GENEiUS: a prospective observational study on the genetic and environmental determinants of body mass index evolution in Canadian undergraduate students. BMJ Open. 7(12). e019365–e019365. 7 indexed citations
11.
Abadi, Arkan, Akram Alyass, Benjamin M. Bolker, et al.. (2017). Penetrance of Polygenic Obesity Susceptibility Loci across the Body Mass Index Distribution. The American Journal of Human Genetics. 101(6). 925–938. 52 indexed citations
12.
Sohani, Zahra, Shohinee Sarma, Akram Alyass, et al.. (2016). Empirical evaluation of the Q-Genie tool: a protocol for assessment of effectiveness. BMJ Open. 6(6). e010403–e010403. 37 indexed citations
13.
Stryjecki, Carolina, Jesús Peralta‐Romero, Akram Alyass, et al.. (2016). Association between PPAR-γ2 Pro12Ala genotype and insulin resistance is modified by circulating lipids in Mexican children. Scientific Reports. 6(1). 24472–24472. 23 indexed citations
14.
Langlois, Christine, Arkan Abadi, Jesús Peralta‐Romero, et al.. (2016). Evaluating the transferability of 15 European-derived fasting plasma glucose SNPs in Mexican children and adolescents. Scientific Reports. 6(1). 36202–36202. 8 indexed citations
16.
Chauhan, Shyam S., Jasbir Kaur, Manish Kumar, et al.. (2015). Prediction of recurrence-free survival using a protein expression-based risk classifier for head and neck cancer. Oncogenesis. 4(4). e147–e147. 42 indexed citations
17.
Alyass, Akram, Michelle Turcotte, & David Meyre. (2015). From big data analysis to personalized medicine for all: challenges and opportunities. BMC Medical Genomics. 8(1). 33–33. 318 indexed citations breakdown →
18.
Kumar, Manish, Gunjan Srivastava, Jasbir Kaur, et al.. (2015). Prognostic significance of cytoplasmic S100A2 overexpression in oral cancer patients. Journal of Translational Medicine. 13(1). 8–8. 27 indexed citations
19.
Alyass, Akram, Ryan T. Muir, Sandra E. Black, et al.. (2015). Validity of Self-Report of Cardiovascular Risk Factors in a Population at High Risk for Stroke. Journal of Stroke and Cerebrovascular Diseases. 24(12). 2860–2865. 34 indexed citations
20.
Alyass, Akram, Peter Almgren, Mikael Åkerlund, et al.. (2014). Modelling of OGTT curve identifies 1 h plasma glucose level as a strong predictor of incident type 2 diabetes: results from two prospective cohorts. Diabetologia. 58(1). 87–97. 106 indexed citations

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.

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