Raya Al‐Shawi

40 papers receiving 2.2k citations

Raya Al‐Shawi's Hit Papers

Systemic exosomal siRNA delivery reduced alpha‐synuclein aggregates in brains of transgenic mice 2014 · 433 citations
4330+4+8Years since publication100200300400

Peers

Raya Al‐Shawi
Comparison fields: 5 of 107
  • Developmental Neuroscience 212
  • Cellular and Molecular Neuroscience 499
  • Cancer Research 330
  • Molecular Biology 1.4k
  • Genetics 443
Replace Dejan Lazarević with:
Dejan Lazarević Italy
Jean‐Philippe Hugnot France
Theo Mantamadiotis Australia
Fabrizio G. Mastronardi Canada
Eike Gallmeier Germany
Gunnar P.H. Dietz Germany
Wendy Yang United States
Jacqueline L. Vanderluit Canada
Anne Lewin United States
Jie Bu United States
Raya Al‐Shawi relative to Dejan Lazarević Italy Dejan Lazarević's profile →
Citations per field
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Dejan Lazarević · 1×
Citations per year

Countries citing papers authored by Raya Al‐Shawi

Since Specialization
Citations

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

Fields of papers citing papers by Raya Al‐Shawi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raya Al‐Shawi. 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 Raya Al‐Shawi. The network helps show where Raya Al‐Shawi may publish in the future.

Co-authors

The 25 scholars most cited alongside Raya Al‐Shawi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Raya Al‐Shawi Line = papers co-authored together Raya Al‐Shawi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Systemic exosomal siRNA delivery reduced alpha‐synuclein aggregates in brains of transgenic mice
Hit paper breakdown →
2014433
2 2009262
3 2019173
4 1990140
5 2001102
6 200885
7 201880
8 199177
9 201375
10 200970
11 198862
12 200759
13 199159
14 199855
15 199048
16 198842
17 199141
18 200935
19 201435
20 199531

About Raya Al‐Shawi

Raya Al‐Shawi is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Epidemiology and Cell Biology, having authored 41 papers that have together received 2.2k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (10 papers), Nerve injury and regeneration (7 papers), Virus-based gene therapy research (7 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers), Herpesvirus Infections and Treatments (4 papers), Axon Guidance and Neuronal Signaling (4 papers), Alzheimer's disease research and treatments (3 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). The work is most often cited by research in Developmental Neuroscience (212 citations), Cellular and Molecular Neuroscience (499 citations), Cancer Research (330 citations), Molecular Biology (1.4k citations) and Genetics (443 citations). Raya Al‐Shawi has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include J. Paul Simons, John O. Bishop, Jonathan M. Cooper, Lydia Alvarez‐Erviti, Jane Kinnaird, Matthew J. A. Wood, Oscar P. B. Wiklander, Mansi Vithlani, Samir EL Andaloussi and Joel Z. Nordin. Their work appears in journals such as Molecular and Cellular Biology, European Journal of Neuroscience, Molecular Therapy, Amyloid and Journal of Molecular Endocrinology.

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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