Sameera Sogaty

1.2k total citations
8 papers, 255 citations indexed

About

Sameera Sogaty is a scholar working on Molecular Biology, Genetics and Sensory Systems. According to data from OpenAlex, Sameera Sogaty has authored 8 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Sensory Systems. Recurrent topics in Sameera Sogaty's work include Hearing, Cochlea, Tinnitus, Genetics (2 papers), Hedgehog Signaling Pathway Studies (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Sameera Sogaty is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (2 papers), Hedgehog Signaling Pathway Studies (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Sameera Sogaty collaborates with scholars based in Saudi Arabia, Canada and Lebanon. Sameera Sogaty's co-authors include Ranad Shaheen, Shinu Ansari, Fowzan S. Alkuraya, Eissa Faqeih, Ghada M. H. Abdel‐Salam, Zuhair N. Al‐Hassnan, Tarfa Alshidi, Rana Alomar, Adeel Chaudhary and Muhammad Imran Naseer and has published in prestigious journals such as Genome Research, European Journal of Human Genetics and American Journal of Medical Genetics Part B Neuropsychiatric Genetics.

In The Last Decade

Sameera Sogaty

8 papers receiving 254 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sameera Sogaty Saudi Arabia 8 179 105 52 33 20 8 255
Amjad Khan Pakistan 12 170 0.9× 124 1.2× 39 0.8× 11 0.3× 21 1.1× 40 291
Emmanuelle Ranza Switzerland 12 137 0.8× 103 1.0× 19 0.4× 11 0.3× 14 0.7× 22 295
Ilse J. Anderson United States 7 164 0.9× 165 1.6× 34 0.7× 14 0.4× 9 0.5× 11 304
Gaurav V. Harlalka United Kingdom 10 184 1.0× 95 0.9× 62 1.2× 9 0.3× 14 0.7× 17 272
Asma Chaoui France 8 173 1.0× 103 1.0× 41 0.8× 41 1.2× 49 2.5× 8 320
Paula Iughetti Brazil 7 244 1.4× 37 0.4× 51 1.0× 15 0.5× 33 1.6× 9 297
Malavika Hebbar India 9 207 1.2× 70 0.7× 22 0.4× 9 0.3× 12 0.6× 19 290
Santiago Cerrizuela Argentina 8 182 1.0× 74 0.7× 35 0.7× 5 0.2× 27 1.4× 11 279
Shinya Kusakari Japan 13 227 1.3× 44 0.4× 39 0.8× 8 0.2× 36 1.8× 25 441
Gertrud Strobl‐Wildemann Germany 6 97 0.5× 74 0.7× 59 1.1× 18 0.5× 9 0.5× 7 215

Countries citing papers authored by Sameera Sogaty

Since Specialization
Citations

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

Fields of papers citing papers by Sameera Sogaty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sameera Sogaty

This figure shows the co-authorship network connecting the top 25 collaborators of Sameera Sogaty. A scholar is included among the top collaborators of Sameera Sogaty 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 Sameera Sogaty. Sameera Sogaty 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.
Naseer, Muhammad Imran, et al.. (2021). Whole Exome Sequencing Identifies Three Novel Mutations in the ASPM Gene From Saudi Families Leading to Primary Microcephaly. Frontiers in Pediatrics. 8. 627122–627122. 16 indexed citations
2.
Ramzan, Khushnooda, Mohammed Al‐Owain, Nouf S. Al‐Numair, et al.. (2019). Identification of TMC1 as a relatively common cause for nonsyndromic hearing loss in the Saudi population. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 183(3). 172–180. 14 indexed citations
3.
Naseer, Muhammad Imran, Mahmood Rasool, Adeel Chaudhary, et al.. (2017). Chromosomal Micro-aberration in a Saudi Family with Juvenile Myoclonic Epilepsy. CNS & Neurological Disorders - Drug Targets. 16(9). 1010–1017. 7 indexed citations
4.
Naseer, Muhammad Imran, Mahmood Rasool, Sameera Sogaty, et al.. (2017). A novel WDR62 mutation causes primary microcephaly in a large consanguineous Saudi family. Annals of Saudi Medicine. 37(2). 148–153. 14 indexed citations
5.
Naseer, Muhammad Imran, Sameera Sogaty, Mahmood Rasool, et al.. (2016). Microcephaly‐capillary malformation syndrome: Brothers with a homozygous STAMBP mutation, uncovered by exome sequencing. American Journal of Medical Genetics Part A. 170(11). 3018–3022. 15 indexed citations
6.
Shaheen, Ranad, Eissa Faqeih, Shinu Ansari, et al.. (2014). Genomic analysis of primordial dwarfism reveals novel disease genes. Genome Research. 24(2). 291–299. 122 indexed citations
7.
Shaheen, Ranad, Eissa Faqeih, Muneera Alshammari, et al.. (2012). Genomic analysis of Meckel–Gruber syndrome in Arabs reveals marked genetic heterogeneity and novel candidate genes. European Journal of Human Genetics. 21(7). 762–768. 42 indexed citations
8.
Imtiaz, Faiqa, Khushnooda Ramzan, Shelley Kennedy, et al.. (2011). A comprehensive introduction to the genetic basis of non-syndromic hearing loss in the Saudi Arabian population. BMC Medical Genetics. 12(1). 91–91. 25 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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