Aya Awad

590 total citations
10 papers, 343 citations indexed

About

Aya Awad is a scholar working on Molecular Biology, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Aya Awad has authored 10 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Artificial Intelligence. Recurrent topics in Aya Awad's work include DNA Repair Mechanisms (3 papers), Machine Learning in Healthcare (3 papers) and Sepsis Diagnosis and Treatment (3 papers). Aya Awad is often cited by papers focused on DNA Repair Mechanisms (3 papers), Machine Learning in Healthcare (3 papers) and Sepsis Diagnosis and Treatment (3 papers). Aya Awad collaborates with scholars based in Israel, Egypt and United Kingdom. Aya Awad's co-authors include James McNicholas, Mohamed Bader–El–Den, Jim Briggs, Yehuda Tzfati, Yasser El-Sonbaty, Galina Glousker, Noa Lamm, Shadi Tawil, Patrick Revy and Scott B. Cohen and has published in prestigious journals such as Nucleic Acids Research, Trends in Cell Biology and BMC Cancer.

In The Last Decade

Aya Awad

10 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aya Awad Israel	8	141	100	64	64	49	10	343
Swapna Abhyankar United States	9	107 0.8×	43 0.4×	104 1.6×	60 0.9×	36 0.7×	18	315
Tielman Van Vleck United States	12	134 1.0×	115 1.1×	136 2.1×	109 1.7×	11 0.2×	15	497
Elliot G. Arsoniadis United States	12	106 0.8×	65 0.7×	39 0.6×	79 1.2×	10 0.2×	27	358
Arash Kia United States	8	122 0.9×	66 0.7×	20 0.3×	46 0.7×	28 0.6×	23	345
Suzanne V. Blackley United States	11	76 0.5×	28 0.3×	28 0.4×	85 1.3×	32 0.7×	25	351
Thomas Bolton United Kingdom	6	135 1.0×	90 0.9×	21 0.3×	154 2.4×	18 0.4×	7	466
Yeongsic Kim South Korea	10	42 0.3×	70 0.7×	60 0.9×	28 0.4×	31 0.6×	31	364
Pierre Elias United States	11	114 0.8×	29 0.3×	108 1.7×	32 0.5×	32 0.7×	28	460
Vinod C. Kaggal United States	10	127 0.9×	27 0.3×	86 1.3×	56 0.9×	8 0.2×	21	307

Countries citing papers authored by Aya Awad

Since Specialization

Citations

This map shows the geographic impact of Aya Awad'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 Aya Awad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aya Awad more than expected).

Fields of papers citing papers by Aya Awad

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aya Awad. 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 Aya Awad. The network helps show where Aya Awad may publish in the future.

Co-authorship network of co-authors of Aya Awad

This figure shows the co-authorship network connecting the top 25 collaborators of Aya Awad. A scholar is included among the top collaborators of Aya Awad 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 Aya Awad. Aya Awad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Awad, Aya, et al.. (2023). The many faces of the helicase RTEL1 at telomeres and beyond. Trends in Cell Biology. 34(2). 109–121. 17 indexed citations

2.

Hajj, Aline, Rita Khoury, Aya Awad, et al.. (2022). Clinical and genetic factors associated with self-reported cognitive deficits in women with breast cancer: the “CAGE-Cog” study. BMC Cancer. 22(1). 996–996. 6 indexed citations

3.

Batiha, Gaber El‐Saber, Aya Awad, Hazem M. Shaheen, et al.. (2021). Management of SARS-CoV-2 Infection: Key Focus in Macrolides Efficacy for COVID-19. Frontiers in Medicine. 8. 642313–642313. 12 indexed citations

4.

Awad, Aya, Galina Glousker, Noa Lamm, et al.. (2020). Full length RTEL1 is required for the elongation of the single-stranded telomeric overhang by telomerase. Nucleic Acids Research. 48(13). 7239–7251. 24 indexed citations

5.

Werner, Lael, Liza Konnikova, Aya Awad, et al.. (2020). An RTEL1 Mutation Links to Infantile-Onset Ulcerative Colitis and Severe Immunodeficiency. Journal of Clinical Immunology. 40(7). 1010–1019. 14 indexed citations

6.

Awad, Aya, Mohamed Bader–El–Den, James McNicholas, Jim Briggs, & Yasser El-Sonbaty. (2019). Predicting hospital mortality for intensive care unit patients: Time-series analysis. Health Informatics Journal. 26(2). 1043–1059. 35 indexed citations

7.

Glousker, Galina, Aya Awad, Anne Gibaud, et al.. (2018). Human RTEL1 stabilizes long G-overhangs allowing telomerase-dependent over-extension. Nucleic Acids Research. 46(9). 4533–4545. 21 indexed citations

8.

Awad, Aya, Mohamed Bader–El–Den, James McNicholas, & Jim Briggs. (2017). Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach. International Journal of Medical Informatics. 108. 185–195. 125 indexed citations

9.

Awad, Aya, Mohamed Bader–El–Den, & James McNicholas. (2017). Patient length of stay and mortality prediction: A survey. Health Services Management Research. 30(2). 105–120. 88 indexed citations

10.

Awad, Aya, et al.. (2012). APPROXIMATING USER'S INTENTION FOR SEARCH ENGINE QUERIES. 422–425. 1 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.

Explore authors with similar magnitude of impact