Mayada Tassabehji

3.1k total citations · 1 hit paper
17 papers, 2.2k citations indexed

About

Mayada Tassabehji is a scholar working on Molecular Biology, Developmental Neuroscience and Cell Biology. According to data from OpenAlex, Mayada Tassabehji has authored 17 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Developmental Neuroscience and 3 papers in Cell Biology. Recurrent topics in Mayada Tassabehji's work include Williams Syndrome Research (7 papers), Congenital heart defects research (3 papers) and melanin and skin pigmentation (2 papers). Mayada Tassabehji is often cited by papers focused on Williams Syndrome Research (7 papers), Congenital heart defects research (3 papers) and melanin and skin pigmentation (2 papers). Mayada Tassabehji collaborates with scholars based in United Kingdom, Australia and United States. Mayada Tassabehji's co-authors include Andrew Read, Tom Strachan, Valerie Newton, R Harris, Rudi Balling, Peter Gruß, Dian Donnai, Kay Metcalfe, William Reardon and Simon Collier and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Mayada Tassabehji

17 papers receiving 2.1k citations

Hit Papers

Waardenburg's syndrome patients have mutations in the hum... 1992 2026 2003 2014 1992 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mayada Tassabehji United Kingdom 15 1.2k 621 600 336 259 17 2.2k
Hope O. Sweet United States 21 1.0k 0.8× 440 0.7× 398 0.7× 236 0.7× 142 0.5× 32 1.9k
Christophe Houbron France 16 1.4k 1.1× 299 0.5× 186 0.3× 99 0.3× 136 0.5× 24 2.0k
Véronique Pingault France 26 1.7k 1.4× 818 1.3× 765 1.3× 79 0.2× 250 1.0× 52 3.2k
Xavier Warot France 12 1.6k 1.3× 623 1.0× 238 0.4× 113 0.3× 42 0.2× 15 2.2k
Anthony Antonellis United States 30 2.4k 2.0× 716 1.2× 539 0.9× 59 0.2× 103 0.4× 75 3.8k
Cherie M. Southwood United States 15 1.2k 1.0× 180 0.3× 424 0.7× 264 0.8× 31 0.1× 20 2.0k
Iván del Barco Barrantes Spain 16 1.6k 1.3× 353 0.6× 191 0.3× 155 0.5× 36 0.1× 19 2.3k
Roger Pedersen United Kingdom 15 1.2k 1.0× 277 0.4× 155 0.3× 343 1.0× 85 0.3× 21 1.8k
E. Michelle Southard‐Smith United States 21 1.1k 0.9× 490 0.8× 290 0.5× 84 0.3× 148 0.6× 45 2.2k
Barbara I. Meyer Germany 14 1.7k 1.4× 676 1.1× 201 0.3× 80 0.2× 44 0.2× 16 2.2k

Countries citing papers authored by Mayada Tassabehji

Since Specialization
Citations

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

Fields of papers citing papers by Mayada Tassabehji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayada Tassabehji

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

All Works

17 of 17 papers shown
1.
McGaughran, Julie, Andrew C. Oates, Dian Donnai, Andrew Read, & Mayada Tassabehji. (2003). Mutations in PAX1 may be associated with Klippel–Feil syndrome. European Journal of Human Genetics. 11(6). 468–474. 76 indexed citations
2.
Koch, A., G. Buheitel, Michael Hofbeck, et al.. (2003). Spectrum of arterial obstructions caused by one elastin gene point mutation. European Journal of Pediatrics. 162(1). 53–54. 5 indexed citations
3.
Metcalfe, Kay, Leslie Smoot, Pascal McKeown, et al.. (2000). Elastin: mutational spectrum in supravalvular aortic stenosis. European Journal of Human Genetics. 8(12). 955–963. 110 indexed citations
4.
Smith, S J, Jacqueline Berry, Michael Davies, et al.. (1999). Novel Mutations in the 1α-Hydroxylase (P450c1) Gene in Three Families with Pseudovitamin D–Deficiency Rickets Resulting in Loss of Functional Enzyme Activity in Blood-Derived Macrophages. Journal of Bone and Mineral Research. 14(5). 730–739. 57 indexed citations
5.
Metcalfe, Kay, et al.. (1999). A Complete Physical Contig and Partial Transcript Map of the Williams Syndrome Critical Region. Genomics. 58(2). 138–145. 41 indexed citations
6.
Tassabehji, Mayada, et al.. (1999). A transcription factor involved in skeletal muscle gene expression is deleted in patients with Williams syndrome. European Journal of Human Genetics. 7(7). 737–747. 31 indexed citations
7.
Tassabehji, Mayada, Kay Metcalfe, Annette Karmiloff‐Smith, et al.. (1999). Williams Syndrome: Use of Chromosomal Microdeletions as a Tool to Dissect Cognitive and Physical Phenotypes. The American Journal of Human Genetics. 64(1). 118–125. 166 indexed citations
8.
Sutton, V. Reid, Elizabeth Nickerson, James R. Lupski, et al.. (1998). Delineation of the common critical region in Williams syndrome and clinical correlation of growth, heart defects, ethnicity, and parental origin. American Journal of Medical Genetics. 78(1). 82–89. 77 indexed citations
9.
Tassabehji, Mayada. (1998). An elastin gene mutation producing abnormal tropoelastin and abnormal elastic fibres in a patient with autosomal dominant cutis laxa. Human Molecular Genetics. 7(6). 1021–1028. 125 indexed citations
10.
Amiel, Jeanne, Peter Watkin, Mayada Tassabehji, Andrew Read, & Robin M. Winter. (1998). Mutation of the MITF gene in albinism-deafness syndrome (Tietz syndrome). Clinical Dysmorphology. 7(1). 17???20–17???20. 76 indexed citations
11.
Hudson, Judith A., Mayada Tassabehji, Stéphanie Simon, et al.. (1997). Novel and recurrent mutations in the neurofibromatosis type 1 (NF1) gene. Human Mutation. 9(4). 366–367. 11 indexed citations
12.
Tassabehji, Mayada, Valerie Newton, Angela F. Brady, et al.. (1995). The mutational spectrum in Waardenburg syndrome. Human Molecular Genetics. 4(11). 2131–2137. 172 indexed citations
13.
Tassabehji, Mayada, Tom Strachan, Michael J. Anderson, et al.. (1994). Identification of a novel family of human endogenous retroviruses and characterization of one family member, HERV-K(C4), located in the complement C4 gene cluster. Nucleic Acids Research. 22(24). 5211–5217. 54 indexed citations
14.
Tassabehji, Mayada, et al.. (1994). Waardenburg syndrome type 2 caused by mutations in the human microphthalmia (MITF) gene. Nature Genetics. 8(3). 251–255. 499 indexed citations
15.
Collier, Simon, Mayada Tassabehji, & Tom Strachan. (1993). A de novo pathological point mutation at the 21–hydroxylase locus: implications for gene conversion in the human genome. Nature Genetics. 3(3). 260–265. 66 indexed citations
16.
Tassabehji, Mayada, T Strachan, Mike Sharland, et al.. (1993). Tandem duplication within a neurofibromatosis type 1 (NF1) gene exon in a family with features of Watson syndrome and Noonan syndrome.. PubMed. 53(1). 90–5. 65 indexed citations
17.
Tassabehji, Mayada, Andrew Read, Valerie Newton, et al.. (1992). Waardenburg's syndrome patients have mutations in the human homologue of the Pax-3 paired box gene. Nature. 355(6361). 635–636. 543 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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