Rasha Abu-lail

1.4k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

Rasha Abu-lail is a scholar working on Molecular Biology, Biotechnology and Immunology. According to data from OpenAlex, Rasha Abu-lail has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Biotechnology and 3 papers in Immunology. Recurrent topics in Rasha Abu-lail's work include RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers) and Toxin Mechanisms and Immunotoxins (3 papers). Rasha Abu-lail is often cited by papers focused on RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers) and Toxin Mechanisms and Immunotoxins (3 papers). Rasha Abu-lail collaborates with scholars based in Israel and France. Rasha Abu-lail's co-authors include Imad Matouk, Abraham Hochberg, Shaul Mezan, Eithan Galun, N DEGROOT, Suhail Ayesh, Yakov Fellig, Patricia Ohana, Tatiana Birman and Abraham Czerniak and has published in prestigious journals such as PLoS ONE, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and Journal of Translational Medicine.

In The Last Decade

Rasha Abu-lail

8 papers receiving 1.2k citations

Hit Papers

align trajectories

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.

The H19 Non-Coding RNA Is Essential for Human Tumor Growth

2007 555 citations Imad Matouk, N DEGROOT et al. PLoS ONE profile →

Peers

Rasha Abu-lail

MB

CR

EPIDE

ONCOL

GENET

Qishi Fan China

Rebecca Resnick United States

Hanshao Liu Japan

Vanessa L. Hedge United Kingdom

Keiko Tano Japan

George M. Otto United States

María Vila-Casadesús Spain

Jay Pilrose United States

Anna Vilborg United States

Paul D. Cao United States

Qishi Fan China

Rasha Abu-lail

1000 ×1.0

MB

877 ×0.9

CR

105 ×0.9

EPIDE

78 ×0.9

ONCOL

38 ×0.6

GENET

Citations per year, relative to Rasha Abu-lail Rasha Abu-lail (= 1×) peers Qishi Fan

Countries citing papers authored by Rasha Abu-lail

Since Specialization

Citations

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

Fields of papers citing papers by Rasha Abu-lail

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rasha Abu-lail. 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 Rasha Abu-lail. The network helps show where Rasha Abu-lail may publish in the future.

Co-authorship network of co-authors of Rasha Abu-lail

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

All Works

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8 of 8 papers shown

1.

Gielchinsky, Ilan, Michal Gilon, Rasha Abu-lail, et al.. (2017). H19 non-coding RNA in urine cells detects urothelial carcinoma: a pilot study. Biomarkers. 22(7). 661–666. 11 indexed citations

2.

Matouk, Imad, Eli Raveh, Rasha Abu-lail, et al.. (2014). Oncofetal H19 RNA promotes tumor metastasis. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1843(7). 1414–1426. 203 indexed citations

3.

Matouk, Imad, Iris Lavon, Tatiana Birman, et al.. (2012). Transcriptional targeting of glioblastoma by diphtheria toxin-A driven by both H19 and IGF2-P4 promoters.. PubMed. 5(2). 124–35. 20 indexed citations

4.

Matouk, Imad, Shaul Mezan, Patricia Ohana, et al.. (2010). The oncofetal H19 RNA connection: Hypoxia, p53 and cancer. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1803(4). 443–451. 203 indexed citations

5.

Czerniak, Abraham, Patricia Ohana, Imad Matouk, et al.. (2010). Treatment of ovarian cancer ascites by intra-peritoneal injection of diphtheria toxin A chain-H19 vector: a case report. Journal of Medical Case Reports. 4(1). 228–228. 18 indexed citations

6.

Sorin, Vladimir, Yakov Fellig, Tatiana Birman, et al.. (2010). Use of H19 Gene Regulatory Sequences in DNA-Based Therapy for Pancreatic Cancer. Journal of Oncology. 2010. 1–10. 52 indexed citations

7.

Czerniak, Abraham, Tally Levy, Imad Matouk, et al.. (2009). Development of targeted therapy for ovarian cancer mediated by a plasmid expressing diphtheria toxin under the control of H19 regulatory sequences. Journal of Translational Medicine. 7(1). 69–69. 116 indexed citations

8.

Matouk, Imad, N DEGROOT, Shaul Mezan, et al.. (2007). The H19 Non-Coding RNA Is Essential for Human Tumor Growth. PLoS ONE. 2(9). e845–e845. 555 indexed citations breakdown →

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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