Safa Al‐Saraj

3.3k total citations
8 papers, 391 citations indexed

About

Safa Al‐Saraj is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Safa Al‐Saraj has authored 8 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Safa Al‐Saraj's work include Epigenetics and DNA Methylation (4 papers), Genetic Associations and Epidemiology (3 papers) and Genetic Neurodegenerative Diseases (3 papers). Safa Al‐Saraj is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Genetic Associations and Epidemiology (3 papers) and Genetic Neurodegenerative Diseases (3 papers). Safa Al‐Saraj collaborates with scholars based in Australia, United Kingdom and Spain. Safa Al‐Saraj's co-authors include Claire Troakes, Ruth Pidsley, Gustavo Turecki, Leonard C. Schalkwyk, Jonathan Mill, Eilís Hannon, Joana Viana, Helen Spiers, Nicholas J. Bray and Naguib Mechawar and has published in prestigious journals such as Journal of Neurochemistry, Human Molecular Genetics and Genome biology.

In The Last Decade

Safa Al‐Saraj

8 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Safa Al‐Saraj Australia 7 244 116 102 79 52 8 391
Andrea Christoforou United States 15 290 1.2× 157 1.4× 52 0.5× 32 0.4× 38 0.7× 23 559
Inês Carrilho Portugal 8 162 0.7× 153 1.3× 79 0.8× 20 0.3× 59 1.1× 20 362
Nadja S. Andrade United States 8 172 0.7× 51 0.4× 59 0.6× 21 0.3× 46 0.9× 12 253
Genni Desiato Italy 9 169 0.7× 41 0.4× 25 0.2× 35 0.4× 78 1.5× 12 449
Olivia Leventhal United States 5 193 0.8× 155 1.3× 49 0.5× 33 0.4× 45 0.9× 6 414
K. Haddley United Kingdom 12 262 1.1× 123 1.1× 25 0.2× 56 0.7× 213 4.1× 29 551
Bisrat T. Woldemichael Switzerland 7 202 0.8× 77 0.7× 21 0.2× 34 0.4× 64 1.2× 7 338
Rachel Y. Cheong Sweden 13 143 0.6× 105 0.9× 57 0.6× 46 0.6× 123 2.4× 24 429
Hannah Loke Australia 6 93 0.4× 73 0.6× 63 0.6× 31 0.4× 62 1.2× 7 360
Erica Shen United States 10 317 1.3× 197 1.7× 14 0.1× 68 0.9× 55 1.1× 21 541

Countries citing papers authored by Safa Al‐Saraj

Since Specialization
Citations

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

Fields of papers citing papers by Safa Al‐Saraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Safa Al‐Saraj. 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 Safa Al‐Saraj. The network helps show where Safa Al‐Saraj may publish in the future.

Co-authorship network of co-authors of Safa Al‐Saraj

This figure shows the co-authorship network connecting the top 25 collaborators of Safa Al‐Saraj. A scholar is included among the top collaborators of Safa Al‐Saraj 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 Safa Al‐Saraj. Safa Al‐Saraj 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.
Lavrador, José Pedro, Zita Reisz, Naomi Sibtain, et al.. (2023). H3 G34-mutant high-grade gliomas: integrated clinical, imaging and pathological characterisation of a single-centre case series. Acta Neurochirurgica. 165(6). 1615–1633. 7 indexed citations
2.
Viana, Joana, Eilís Hannon, Emma Dempster, et al.. (2016). Schizophrenia-associated methylomic variation: molecular signatures of disease and polygenic risk burden across multiple brain regions. Human Molecular Genetics. 26(1). ddw373–ddw373. 73 indexed citations
3.
Pidsley, Ruth, Joana Viana, Eilís Hannon, et al.. (2014). Methylomic profiling of human brain tissue supports a neurodevelopmental origin for schizophrenia. Genome biology. 15(10). 483–483. 104 indexed citations
4.
Davidson, Yvonne S., Andrew Robinson, J. C. Thompson, et al.. (2014). Brain distribution of dipeptide repeat proteins in frontotemporal lobar degeneration and motor neurone disease associated with expansions in C9ORF72. Acta Neuropathologica Communications. 2(1). 70–70. 86 indexed citations
5.
Pidsley, Ruth, Joana Viana, Eilís Hannon, et al.. (2014). Methylomic profiling of human brain tissue supports a neurodevelopmental origin for schizophrenia. Genome Biology. 15(10). 483–483. 5 indexed citations
6.
Monoranu, Camelia Maria, Edna Grünblatt, Jasmin Bartl, et al.. (2010). Methyl- and acetyltransferases are stable epigenetic markers postmortem. Cell and Tissue Banking. 12(4). 289–297. 12 indexed citations
7.
Monoranu, Camelia‐Maria, Edna Grünblatt, Bernhard Puppe, et al.. (2009). pH measurement as quality control on human post mortem brain tissue: a study of the BrainNet Europe consortium. Neuropathology and Applied Neurobiology. 35(3). 329–337. 92 indexed citations
8.
Grünblatt, Edna, Camelia Maria Monoranu, Daniela Keller, et al.. (2009). Tryptophan is a marker of human postmortem brain tissue quality. Journal of Neurochemistry. 110(5). 1400–1408. 12 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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