Mohammed Uddin

13.0k total citations
70 papers, 1.5k citations indexed

About

Mohammed Uddin is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Mohammed Uddin has authored 70 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Genetics, 27 papers in Molecular Biology and 16 papers in Cognitive Neuroscience. Recurrent topics in Mohammed Uddin's work include Autism Spectrum Disorder Research (16 papers), Genetics and Neurodevelopmental Disorders (16 papers) and Genomic variations and chromosomal abnormalities (13 papers). Mohammed Uddin is often cited by papers focused on Autism Spectrum Disorder Research (16 papers), Genetics and Neurodevelopmental Disorders (16 papers) and Genomic variations and chromosomal abnormalities (13 papers). Mohammed Uddin collaborates with scholars based in United Arab Emirates, Canada and United Kingdom. Mohammed Uddin's co-authors include Marc Woodbury‐Smith, Yujiang Wang, Stephen W. Scherer, Alawi Alsheikh‐Ali, Tom Loney, Hanan Al Suwaidi, Norbert Nowotny, Abiola Senok, Syed S. Islam and Abu Shadat Mohammod Noman and has published in prestigious journals such as Nature Medicine, Nature Communications and Nature Genetics.

In The Last Decade

Mohammed Uddin

62 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammed Uddin United Arab Emirates 23 619 415 231 200 105 70 1.5k
Xingchao Wang China 20 623 1.0× 281 0.7× 91 0.4× 355 1.8× 154 1.5× 55 1.8k
Hüseyin Önay Türkiye 24 754 1.2× 441 1.1× 89 0.4× 68 0.3× 92 0.9× 205 2.0k
Randall J. Roper United States 28 724 1.2× 857 2.1× 87 0.4× 102 0.5× 129 1.2× 64 2.4k
Chiara Brombin Italy 18 623 1.0× 454 1.1× 79 0.3× 78 0.4× 247 2.4× 67 1.6k
Feliciano J. Ramos Spain 26 1.2k 1.9× 864 2.1× 385 1.7× 134 0.7× 195 1.9× 78 2.4k
Nao Nishida Japan 29 665 1.1× 460 1.1× 312 1.4× 88 0.4× 154 1.5× 88 2.5k
Sérgio Rosemberg Brazil 30 948 1.5× 234 0.6× 169 0.7× 114 0.6× 205 2.0× 129 2.7k
Ahmad Abou Tayoun United Arab Emirates 23 892 1.4× 838 2.0× 229 1.0× 62 0.3× 98 0.9× 81 2.0k
Wendy S. Meschino Canada 29 758 1.2× 1.5k 3.6× 165 0.7× 113 0.6× 223 2.1× 78 3.0k
Kerstin U. Ludwig Germany 27 523 0.8× 1.1k 2.7× 368 1.6× 137 0.7× 35 0.3× 85 2.0k

Countries citing papers authored by Mohammed Uddin

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Uddin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Uddin

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

All Works

20 of 20 papers shown
1.
Almarri, Mohamed A., Younes Mokrab, Mohammed Uddin, et al.. (2025). Genomics of rare diseases in the Greater Middle East. Nature Genetics. 57(3). 505–514. 1 indexed citations
2.
Uddin, Mohammed, et al.. (2025). Enhanced maximum power point tracking using hybrid GA and PSO algorithms for solar PV systems. Results in Engineering. 28. 107708–107708. 3 indexed citations
3.
Hossain, Shah, Masuma Afrin Taniya, Amirul Islam, et al.. (2025). Genomic insights into Rett syndrome-like features in Bangladeshi participants. Genetics in Medicine Open. 3. 103438–103438.
4.
5.
Tambi, Richa, et al.. (2024). Artificial intelligence and omics in malignant gliomas. Physiological Genomics. 56(12). 876–895. 5 indexed citations
6.
Forrest, Shelley L., Seojin Lee, Iván Martínez-Valbuena, et al.. (2023). Cell-specific MAPT gene expression is preserved in neuronal and glial tau cytopathologies in progressive supranuclear palsy. Acta Neuropathologica. 146(3). 395–414. 20 indexed citations
7.
Uddin, Mohammed, et al.. (2023). Left MCA stroke due to May Thurner Syndrome. Journal of the Neurological Sciences. 455. 122455–122455.
8.
Barton, Nathaniel, Yucheng Zhang, Mohammed Uddin, et al.. (2023). oFlowSeq: a quantitative approach to identify protein coding mutations affecting cell type enrichment using mosaic CRISPR-Cas9 edited cerebral organoids. Human Genetics. 142(8). 1281–1291. 2 indexed citations
9.
Uddin, Mohammed, et al.. (2022). Methotrexate-Induced Encephalopathy In A Patient With Relapsing Polychondritis (P1-1.Virtual). Neurology. 98(18_supplement).
10.
Rooj, Arun K., Estelle Cormet‐Boyaka, Yawar J. Qadri, et al.. (2021). Association of cystic fibrosis transmembrane conductance regulator with epithelial sodium channel subunits carrying Liddle’s syndrome mutations. American Journal of Physiology-Lung Cellular and Molecular Physiology. 321(2). L308–L320. 3 indexed citations
11.
Loney, Tom, Hamda Khansaheb, Sathishkumar Ramaswamy, et al.. (2021). Genotype‐phenotype correlation identified a novel SARS‐CoV‐2 variant possibly linked to severe disease. Transboundary and Emerging Diseases. 69(2). 465–476. 8 indexed citations
12.
Bankapur, Asma, Ibrahim M. Inuwa, Mehdi Zarrei, et al.. (2021). Single-cell transcriptome identifies molecular subtype of autism spectrum disorder impacted by de novo loss-of-function variants regulating glial cells. Human Genomics. 15(1). 68–68. 21 indexed citations
13.
Uddin, Mohammed, Farah Mustafa, Tahir A. Rizvi, et al.. (2020). SARS-CoV-2/COVID-19: Viral Genomics, Epidemiology, Vaccines, and Therapeutic Interventions. Viruses. 12(5). 526–526. 198 indexed citations
14.
Tayoun, Ahmad Abou, Tom Loney, Hamda Khansaheb, et al.. (2020). Multiple early introductions of SARS-CoV-2 into a global travel hub in the Middle East. Scientific Reports. 10(1). 17720–17720. 24 indexed citations
15.
Chan, Ada J. S., Cheryl Cytrynbaum, Ny Hoang, et al.. (2019). Expanding the neurodevelopmental phenotypes of individuals with de novo KMT2A variants. npj Genomic Medicine. 4(1). 9–9. 29 indexed citations
16.
Rahman, MM, Marc Woodbury‐Smith, K. M. Furkan Uddin, et al.. (2019). Novel mutations in actionable breast cancer genes by targeted sequencing in an ethnically homogenous cohort. BMC Medical Genetics. 20(1). 150–150. 7 indexed citations
17.
Zhang, Yanqing, Yi Liu, Mehdi Zarrei, et al.. (2017). Association of IMMP2L deletions with autism spectrum disorder: A trio family study and meta‐analysis. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 177(1). 93–100. 19 indexed citations
18.
Noman, Abu Shadat Mohammod, Mohammed Uddin, Md. Zillur Rahman, et al.. (2016). Overexpression of sonic hedgehog in the triple negative breast cancer: clinicopathological characteristics of high burden breast cancer patients from Bangladesh. Scientific Reports. 6(1). 18830–18830. 54 indexed citations
19.
Uddin, Mohammed, Kristiina Tammimies, Giovanna Pellecchia, et al.. (2014). Brain-expressed exons under purifying selection are enriched for de novo mutations in autism spectrum disorder. Nature Genetics. 46(7). 742–747. 98 indexed citations
20.
Kador, Karl E., Praseeda Venugopalan, Jonathan Hertz, et al.. (2013). Tissue engineering the retinal ganglion cell nerve fiber layer. Biomaterials. 34(17). 4242–4250. 62 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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