Laila Arash

1.1k total citations
8 papers, 629 citations indexed

About

Laila Arash is a scholar working on Physiology, Epidemiology and Molecular Biology. According to data from OpenAlex, Laila Arash has authored 8 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 3 papers in Epidemiology and 2 papers in Molecular Biology. Recurrent topics in Laila Arash's work include Lysosomal Storage Disorders Research (7 papers), Trypanosoma species research and implications (3 papers) and Glycogen Storage Diseases and Myoclonus (2 papers). Laila Arash is often cited by papers focused on Lysosomal Storage Disorders Research (7 papers), Trypanosoma species research and implications (3 papers) and Glycogen Storage Diseases and Myoclonus (2 papers). Laila Arash collaborates with scholars based in Germany, United Kingdom and United States. Laila Arash's co-authors include Michael Beck, Paul Harmatz, Elisa Leão Teles, Maurizio Scarpa, Ida Vanessa Döederlein Schwartz, Stuart J. Swiedler, Nathalie Guffon, J. E. Wraith, Clara Sá-Miranda and Roberto Giugliani and has published in prestigious journals such as PLoS ONE, The Journal of Pediatrics and Orphanet Journal of Rare Diseases.

In The Last Decade

Laila Arash

8 papers receiving 615 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laila Arash Germany 7 565 284 174 93 81 8 629
Karen Tylee United Kingdom 16 580 1.0× 259 0.9× 158 0.9× 104 1.1× 80 1.0× 45 704
Celeste Decker United States 17 550 1.0× 258 0.9× 236 1.4× 52 0.6× 83 1.0× 21 685
Ed Wraith United Kingdom 11 718 1.3× 242 0.9× 203 1.2× 110 1.2× 135 1.7× 24 910
M. Smith United Kingdom 4 387 0.7× 165 0.6× 166 1.0× 55 0.6× 51 0.6× 5 454
Elke Miebach Germany 13 989 1.8× 521 1.8× 291 1.7× 181 1.9× 121 1.5× 15 1.1k
C. Robinson United States 8 454 0.8× 208 0.7× 170 1.0× 139 1.5× 73 0.9× 12 534
A Mehta United Kingdom 11 587 1.0× 248 0.9× 173 1.0× 138 1.5× 74 0.9× 36 688
Mieke Aldenhoven Netherlands 9 389 0.7× 147 0.5× 90 0.5× 32 0.3× 54 0.7× 17 534
Pranoot Tanpaiboon United States 18 329 0.6× 110 0.4× 183 1.1× 52 0.6× 28 0.3× 55 820
Shari Fallet United States 12 322 0.6× 155 0.5× 110 0.6× 75 0.8× 58 0.7× 18 739

Countries citing papers authored by Laila Arash

Since Specialization
Citations

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

Fields of papers citing papers by Laila Arash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laila Arash

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

All Works

8 of 8 papers shown
1.
Pitz, Susanne, Laila Arash, Nesrin Karabul, et al.. (2015). Ocular Signs Correlate Well with Disease Severity and Genotype in Fabry Disease. PLoS ONE. 10(3). e0120814–e0120814. 34 indexed citations
2.
Borgwardt, Line, Hilde Monica Frostad Riise Stensland, Flemming Wibrand, et al.. (2015). Alpha-mannosidosis: correlation between phenotype, genotype and mutant MAN2B1 subcellular localisation. Orphanet Journal of Rare Diseases. 10(1). 70–70. 32 indexed citations
3.
Delaney, Kathleen, Chester B. Whitley, Maureen Cleary, et al.. (2014). MPS IIIA and MPS IIIB: a preliminary comparison of disease trajectory, using baseline data from two independent natural history studies. Molecular Genetics and Metabolism. 111(2). S35–S36. 1 indexed citations
4.
Kampmann, Christoph, Christina Lampe, Christiane M. Wiethoff, et al.. (2013). Mucopolysaccharidosis VI: cardiac involvement and the impact of enzyme replacement therapy. Journal of Inherited Metabolic Disease. 37(2). 269–276. 31 indexed citations
5.
Decker, Celeste, Zi‐Fan Yu, Roberto Giugliani, et al.. (2010). Enzyme replacement therapy for mucopolysaccharidosis VI: Growth and pubertal development in patients treated with recombinant human N-acetylgalactosamine 4-sulfatase. Journal of Pediatric Rehabilitation Medicine. 3(2). 89–100. 52 indexed citations
6.
Pitz, Susanne, Olufunmilola A. Ogun, Laila Arash, Elke Miebach, & Michael Beck. (2009). Does enzyme replacement therapy influence the ocular changes in type VI mucopolysaccharidosis?. Graefe s Archive for Clinical and Experimental Ophthalmology. 247(7). 975–980. 35 indexed citations
7.
Harmatz, Paul, Roberto Giugliani, Ida Vanessa Döederlein Schwartz, et al.. (2008). Long-term follow-up of endurance and safety outcomes during enzyme replacement therapy for mucopolysaccharidosis VI: Final results of three clinical studies of recombinant human N-acetylgalactosamine 4-sulfatase. Molecular Genetics and Metabolism. 94(4). 469–475. 159 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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