Sali M.K. Farhan

1.6k total citations
33 papers, 368 citations indexed

About

Sali M.K. Farhan is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Sali M.K. Farhan has authored 33 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 17 papers in Neurology and 11 papers in Genetics. Recurrent topics in Sali M.K. Farhan's work include Amyotrophic Lateral Sclerosis Research (16 papers), Neurogenetic and Muscular Disorders Research (10 papers) and Neurological diseases and metabolism (6 papers). Sali M.K. Farhan is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (16 papers), Neurogenetic and Muscular Disorders Research (10 papers) and Neurological diseases and metabolism (6 papers). Sali M.K. Farhan collaborates with scholars based in Canada, United States and United Kingdom. Sali M.K. Farhan's co-authors include Robert A. Hegele, John F. Robinson, C. Anthony Rupar, Victoria Mok Siu, Allison A. Dilliott, Adam D. McIntyre, Jian Wang, Francesco Brancati, Sara Loddo and Maria Giovanna Marrosu and has published in prestigious journals such as PLoS ONE, Brain and Scientific Reports.

In The Last Decade

Sali M.K. Farhan

28 papers receiving 366 citations

Peers

Sali M.K. Farhan

GENET

NEURO

PHYSI

GENET

Manuèle Miné France

Kathrin Jeltsch Germany

Samira Ait-El-Mkadem France

Andrea Legati Italy

Ranjithmenon Muraleedharan United States

Isabella Fogh Italy

Anna Ardissone Italy

Elisa Fassone Italy

Michela Taiana Italy

Sima Kheradmand Kia Netherlands

Manuèle Miné France

Sali M.K. Farhan

362 ×1.6

110 ×1.4

GENET

150 ×1.9

NEURO

49 ×1.0

PHYSI

29 ×0.7

GENET

Citations per year, relative to Sali M.K. Farhan Sali M.K. Farhan (= 1×) peers Manuèle Miné

Countries citing papers authored by Sali M.K. Farhan

Since Specialization

Citations

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

Fields of papers citing papers by Sali M.K. Farhan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sali M.K. Farhan. 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 Sali M.K. Farhan. The network helps show where Sali M.K. Farhan may publish in the future.

Co-authorship network of co-authors of Sali M.K. Farhan

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

All Works

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20 of 20 papers shown

Li, Jialun, et al.. (2025). Neural networks reveal novel gene signatures in Parkinson disease from single-nuclei transcriptomes. npj Parkinson s Disease. 11(1). 304–304.

Thomas, Rhalena A., et al.. (2024). ScRNAbox: empowering single-cell RNA sequencing on high performance computing systems. BMC Bioinformatics. 25(1). 319–319. 1 indexed citations

Dilliott, Allison A., Tiziana Petrozziello, James D. Berry, et al.. (2024). Identification of gene fusions associated with amyotrophic lateral sclerosis. Muscle & Nerve. 69(4). 477–489. 2 indexed citations

Al‐Chalabi, Ammar, Jinsy Andrews, & Sali M.K. Farhan. (2024). Recent advances in the genetics of familial and sporadic ALS. International review of neurobiology. 176. 49–74. 8 indexed citations

Simó, J. A., Emily Dwosh, Roberta La Piana, et al.. (2024). Enhancing variant of uncertain significance (VUS) interpretation in neurogenetics: collaborative experiences from a tertiary care centre. Journal of Medical Genetics. 62(1). 37–45.

Dilliott, Allison A., et al.. (2024). Transcriptomics of Human Brain Tissue in Parkinson’s Disease: a Comparison of Bulk and Single-cell RNA Sequencing. Molecular Neurobiology. 61(11). 8996–9015. 10 indexed citations

Ross, Jay P., Fulya Akçimen, Calwing Liao, et al.. (2023). Rare-variant and polygenic analyses of amyotrophic lateral sclerosis in the French-Canadian genome. Genetics in Medicine. 26(1). 100967–100967. 1 indexed citations

Bayne, Andrew N., et al.. (2023). MTSviewer: A database to visualize mitochondrial targeting sequences, cleavage sites, and mutations on protein structures. PLoS ONE. 18(4). e0284541–e0284541. 8 indexed citations

Dilliott, Allison A., et al.. (2023). Characterizing proteomic and transcriptomic features of missense variants in amyotrophic lateral sclerosis genes. Brain. 146(11). 4608–4621. 1 indexed citations

10.

Ross, Jay P., Fulya Akçimen, Calwing Liao, et al.. (2022). Questioning the Association of the STMN2 Dinucleotide Repeat With Amyotrophic Lateral Sclerosis. Neurology Genetics. 8(4). e678–e678. 1 indexed citations

11.

Villeneuve, Sylvia, AmanPreet Badhwar, Vaibhav Sharma, et al.. (2022). APOE alleles are associated with sex-specific structural differences in brain regions affected in Alzheimer’s disease and related dementia. PLoS Biology. 20(12). e3001863–e3001863. 2 indexed citations

12.

Dilliott, Allison A., Guy A. Rouleau, & Sali M.K. Farhan. (2022). Lack of association of TP73 with amyotrophic lateral sclerosis in a large cohort of cases. Neurobiology of Aging. 115. 109–111. 1 indexed citations

13.

Salem, Ahmed, et al.. (2022). Matrin3: Disorder and ALS Pathogenesis. Frontiers in Molecular Biosciences. 8. 794646–794646. 11 indexed citations

14.

Volkening, Kathryn, Sali M.K. Farhan, Jessica Kao, et al.. (2021). Evidence of synergism among three genetic variants in a patient with LMNA-related lipodystrophy and amyotrophic lateral sclerosis leading to a remarkable nuclear phenotype. Molecular and Cellular Biochemistry. 476(7). 2633–2650. 3 indexed citations

15.

Lackie, Rachel E., Abdul Razzaq, Sali M.K. Farhan, et al.. (2019). Modulation of hippocampal neuronal resilience during aging by the Hsp70/Hsp90 co‐chaperone STI1. Journal of Neurochemistry. 153(6). 727–758. 14 indexed citations

16.

Spataro, Rossella, Maria Kousi, Sali M.K. Farhan, et al.. (2019). Mutations in ATP13A2 (PARK9) are associated with an amyotrophic lateral sclerosis-like phenotype, implicating this locus in further phenotypic expansion. Human Genomics. 13(1). 19–19. 34 indexed citations

17.

Farhan, Sali M.K., Kevin C. Nixon, Tara N. Edwards, et al.. (2017). Identification of a novel synaptic protein, TMTC3, involved in periventricular nodular heterotopia with intellectual disability and epilepsy. Human Molecular Genetics. 26(21). 4278–4289. 32 indexed citations

18.

Farhan, Sali M.K., et al.. (2016). KMT2D p.Gln3575His segregating in a family with autosomal dominant choanal atresia strengthens the Kabuki/CHARGE connection. American Journal of Medical Genetics Part A. 173(1). 183–189. 14 indexed citations

19.

Farhan, Sali M.K. & Robert A. Hegele. (2015). Antisenses working overtime in lipids. Nature Reviews Endocrinology. 11(10). 574–576. 2 indexed citations

20.

Farhan, Sali M.K. & Robert A. Hegele. (2012). Genetics 101 for Cardiologists: Rare Genetic Variants and Monogenic Cardiovascular Disease. Canadian Journal of Cardiology. 29(1). 18–22. 7 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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