Suhail Ayesh

2.2k total citations · 1 hit paper
55 papers, 1.8k citations indexed

About

Suhail Ayesh is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Suhail Ayesh has authored 55 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 18 papers in Genetics and 9 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Suhail Ayesh's work include Genetic Syndromes and Imprinting (10 papers), Epigenetics and DNA Methylation (8 papers) and Diabetes Treatment and Management (7 papers). Suhail Ayesh is often cited by papers focused on Genetic Syndromes and Imprinting (10 papers), Epigenetics and DNA Methylation (8 papers) and Diabetes Treatment and Management (7 papers). Suhail Ayesh collaborates with scholars based in Israel, United States and Palestinian Territory. Suhail Ayesh's co-authors include Abraham Hochberg, Imad Matouk, N DEGROOT, Eithan Galun, Shaul Mezan, Rasha Abu-lail, Wilfred D. Stein, Tamar Schneider, Patricia Ohana and Natalia Sánchez de Groot and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.

In The Last Decade

Suhail Ayesh

54 papers receiving 1.7k citations

Hit Papers

The H19 Non-Coding RNA Is Essential for Human Tumor Growth 2007 2026 2013 2019 2007 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The H19 Non-Coding RNA Is Essential for Human Tumor Growth
    2007 555 citations Imad Matouk, N DEGROOT et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suhail Ayesh Israel 21 1.2k 846 296 240 167 55 1.8k
Rita Humeniuk United States 14 818 0.7× 541 0.6× 647 2.2× 65 0.3× 178 1.1× 31 1.8k
Jingde Zhu China 22 1.5k 1.2× 557 0.7× 211 0.7× 210 0.9× 103 0.6× 41 2.1k
Grzegorz Kurzawski Poland 26 717 0.6× 501 0.6× 699 2.4× 387 1.6× 181 1.1× 85 1.9k
David Wu United States 4 1.1k 0.9× 350 0.4× 866 2.9× 249 1.0× 94 0.6× 12 1.8k
Jean‐Paul Brouillet France 21 800 0.6× 615 0.7× 639 2.2× 246 1.0× 136 0.8× 33 1.7k
Mary Varterasian United States 19 1.1k 0.9× 156 0.2× 821 2.8× 157 0.7× 181 1.1× 42 1.9k
John G. Emery United States 16 1.4k 1.1× 433 0.5× 611 2.1× 142 0.6× 702 4.2× 20 2.0k
Qiulu Pan United States 13 1.0k 0.8× 610 0.7× 1.3k 4.3× 73 0.3× 115 0.7× 24 2.5k
Timothy J. O’Brien United States 21 522 0.4× 147 0.2× 208 0.7× 143 0.6× 318 1.9× 48 1.7k
Thea Kalebic United States 21 727 0.6× 238 0.3× 424 1.4× 91 0.4× 134 0.8× 60 1.6k

Countries citing papers authored by Suhail Ayesh

Since Specialization
Citations

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

Fields of papers citing papers by Suhail Ayesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhail Ayesh

This figure shows the co-authorship network connecting the top 25 collaborators of Suhail Ayesh. A scholar is included among the top collaborators of Suhail Ayesh 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 Suhail Ayesh. Suhail Ayesh 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.
Ayesh, Hazem, et al.. (2025). Efficacy and safety of resmetirom in MASLD and MASH: network meta-analysis of randomized clinical trials. Journal of Basic and Clinical Physiology and Pharmacology. 36(1). 3–11. 1 indexed citations
2.
3.
Ayesh, Hazem, et al.. (2024). Impact of allulose on blood glucose in type 2 diabetes: A meta-analysis of clinical trials. SHILAP Revista de lepidopterología. 24. 100329–100329. 3 indexed citations
4.
Ayesh, Hazem, Suhail Ayesh, & Kevin D. Niswender. (2024). Comparative Meta-Analysis of Retatrutide Versus Placebo and Dulaglutide for Weight Loss and Diabetes Management: Insights From Clinical Trials. American Journal of Therapeutics. 31(4). e523–e527. 2 indexed citations
5.
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Abu‐Libdeh, Bassam, et al.. (2017). Clinical heterogeneity of glycine encephalopathy in three Palestinian siblings: A novel mutation in the glycine decarboxylase ( GLDC ) gene. Brain and Development. 39(7). 601–605. 4 indexed citations
7.
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Ayesh, Suhail, et al.. (2009). βS-Globin Gene Cluster Haplotypes in the West Bank of Palestine. Hemoglobin. 33(2). 143–149. 14 indexed citations
9.
Ayesh, Suhail, et al.. (2008). Molecular analysis ofMEFVgene mutations among Palestinian patients with Behçet's disease. Scandinavian Journal of Rheumatology. 37(5). 370–374. 37 indexed citations
10.
Ayesh, Suhail, et al.. (2005). Genetic screening of familial Mediterranean fever mutations in the Palestinian population.. PubMed. 26(5). 732–7. 21 indexed citations
11.
Ariel, Ilana, Suhail Ayesh, Ofer N. Gofrit, et al.. (2004). Gene expression in the bladder carcinoma rat model. Molecular Carcinogenesis. 41(2). 69–76. 18 indexed citations
12.
Matouk, Imad, Basim M. Ayesh, Tamar Schneider, et al.. (2004). Oncofetal splice-pattern of the human H19 gene. Biochemical and Biophysical Research Communications. 318(4). 916–919. 18 indexed citations
13.
Ohana, Patricia, Pinhas Schächter, Basim M. Ayesh, et al.. (2004). Regulatory sequences of H19 and IGF2 genes in DNA‐based therapy of colorectal rat liver metastases. The Journal of Gene Medicine. 7(3). 366–374. 28 indexed citations
14.
Schächter, Pinhas, Suhail Ayesh, Tamar Schneider, et al.. (2002). Expression of kinase genes in primary hyperparathyroidism: Adenoma versus hyperplastic parathyroid tissue. Surgery. 132(6). 1094–1099. 15 indexed citations
15.
Abdul‐Ghani, Rula, Patricia Ohana, Imad Matouk, et al.. (2000). Use of Transcriptional Regulatory Sequences of Telomerase (hTER and hTERT) for Selective Killing of Cancer Cells. Molecular Therapy. 2(6). 539–544. 65 indexed citations
16.
Matouk, Imad, Suhail Ayesh, Morris Laster, et al.. (2000). Characterization of human and mouse H19 regulatory sequences. Molecular Biology Reports. 27(3). 157–165. 23 indexed citations
17.
Ayesh, Suhail, et al.. (1997). Mutually co-operative interactions between modulators of P-glycoprotein. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1360(1). 30–38. 39 indexed citations
18.
Ayesh, Suhail, et al.. (1996). Reversal of P-glycoprotein is greatly reduced by the presence of plasma but can be monitored by an ex vivo clinical assay. Anti-Cancer Drugs. 7(6). 678–686. 7 indexed citations
19.
Lyubimov, Elena, et al.. (1995). Saturation reversal of the multidrug pump using many reversers in low-dose combinations. Anti-Cancer Drugs. 6(6). 727–735. 11 indexed citations
20.
Ayesh, Suhail, et al.. (1994). Inhibition of neutrophil activation by fibrinogen. Inflammation. 18(5). 525–535. 19 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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