Sila Genc

1.9k total citations
35 papers, 868 citations indexed

About

Sila Genc is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience. According to data from OpenAlex, Sila Genc has authored 35 papers receiving a total of 868 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Pediatrics, Perinatology and Child Health and 9 papers in Cognitive Neuroscience. Recurrent topics in Sila Genc's work include Advanced Neuroimaging Techniques and Applications (24 papers), Fetal and Pediatric Neurological Disorders (11 papers) and Advanced MRI Techniques and Applications (9 papers). Sila Genc is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (24 papers), Fetal and Pediatric Neurological Disorders (11 papers) and Advanced MRI Techniques and Applications (9 papers). Sila Genc collaborates with scholars based in Australia, United Kingdom and United States. Sila Genc's co-authors include Charles B. Malpas, Timothy J. Silk, Derek K. Jones, Marc L. Seal, Vicki Anderson, Erika P. Raven, Greg D. Parker, Chantal M. W. Tax, Maxime Chamberland and Richard Beare and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Sila Genc

30 papers receiving 865 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sila Genc Australia 18 477 286 218 149 107 35 868
Irene Piryatinsky United States 10 204 0.4× 212 0.7× 270 1.2× 135 0.9× 114 1.1× 21 819
Ying Cui China 18 348 0.7× 453 1.6× 35 0.2× 121 0.8× 88 0.8× 38 1.1k
Julia Neitzel Germany 16 245 0.5× 521 1.8× 165 0.8× 363 2.4× 53 0.5× 38 1.1k
David Lahna United States 14 194 0.4× 140 0.5× 69 0.3× 157 1.1× 108 1.0× 26 728
Valeria Kochunov United States 7 253 0.5× 238 0.8× 49 0.2× 75 0.5× 190 1.8× 7 631
Hossein Sanjari Moghaddam Iran 16 170 0.4× 209 0.7× 53 0.2× 165 1.1× 35 0.3× 67 761
Natalie J. Forde Netherlands 16 171 0.4× 320 1.1× 60 0.3× 179 1.2× 26 0.2× 36 643
Kathleen Tingus United States 7 186 0.4× 185 0.6× 45 0.2× 172 1.2× 20 0.2× 8 612
Ayesha Sherzai United States 16 183 0.4× 258 0.9× 39 0.2× 222 1.5× 69 0.6× 33 1.1k
Joelle M. Scanlon United States 14 118 0.2× 183 0.6× 68 0.3× 247 1.7× 199 1.9× 17 729

Countries citing papers authored by Sila Genc

Since Specialization
Citations

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

Fields of papers citing papers by Sila Genc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sila Genc

This figure shows the co-authorship network connecting the top 25 collaborators of Sila Genc. A scholar is included among the top collaborators of Sila Genc 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 Sila Genc. Sila Genc 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.
Genc, Sila, Gareth Ball, Maxime Chamberland, et al.. (2025). MRI signatures of cortical microstructure in human development align with oligodendrocyte cell-type expression. Nature Communications. 16(1). 3317–3317.
2.
3.
Mito, Remika, James H. Cole, Sila Genc, Graeme D. Jackson, & Andrew Zalesky. (2025). Towards precision MRI biomarkers in epilepsy with normative modelling. Brain. 148(7). 2247–2261. 5 indexed citations
4.
Beare, Richard, Sila Genc, Michael Takagi, et al.. (2024). White matter fiber morphology in persisting postconcussive symptoms and posttraumatic headache after pediatric concussion: a fixel-based analysis. Journal of Neurosurgery Pediatrics. 34(4). 373–383.
5.
Genc, Sila, Simona Schiavi, Maxime Chamberland, et al.. (2024). Developmental differences in canonical cortical networks: Insights from microstructure-informed tractography. Network Neuroscience. 8(3). 946–964. 2 indexed citations
6.
Beare, Richard, Sila Genc, Paola Diadori, et al.. (2024). Advanced tractography-guided laser ablation of a perirolandic long-term epilepsy–associated tumor: illustrative case. Journal of Neurosurgery Case Lessons. 8(15).
7.
Genc, Sila, Erika P. Raven, Mark Drakesmith, Sarah‐Jayne Blakemore, & Derek K. Jones. (2023). Novel insights into axon diameter and myelin content in late childhood and adolescence. Cerebral Cortex. 33(10). 6435–6448. 13 indexed citations
8.
Genc, Sila, Greg D. Parker, Kristin Koller, et al.. (2022). Surface-based tracking for short association fibre tractography. NeuroImage. 260. 119423–119423. 25 indexed citations
9.
Kelly, Claire E., Deanne K. Thompson, Sila Genc, et al.. (2020). Long-term development of white matter fibre density and morphology up to 13 years after preterm birth: A fixel-based analysis. NeuroImage. 220. 117068–117068. 25 indexed citations
10.
Chamberland, Maxime, Sila Genc, Erika P. Raven, et al.. (2020). Tractometry-based anomaly detection for single-subject white matter analysis. ORCA Online Research @Cardiff.
11.
Brosnan, Méadhbh, Kristina Sabaroedin, Timothy J. Silk, et al.. (2020). Evidence accumulation during perceptual decisions in humans varies as a function of dorsal frontoparietal organization. Nature Human Behaviour. 4(8). 844–855. 25 indexed citations
12.
Burley, Daniel T., Sila Genc, & Timothy J. Silk. (2020). Childhood conduct problems are associated with reduced white matter fibre density and morphology. Journal of Affective Disorders. 281. 638–645. 7 indexed citations
13.
Genc, Sila, Charles B. Malpas, Emma Sciberras, et al.. (2020). Longitudinal patterns of white matter fibre density and morphology in children are associated with age and pubertal stage. Developmental Cognitive Neuroscience. 45. 100853–100853. 23 indexed citations
14.
Chamberland, Maxime, Erika P. Raven, Sila Genc, et al.. (2019). Dimensionality reduction of diffusion MRI measures for improved tractometry of the human brain. NeuroImage. 200. 89–100. 65 indexed citations
15.
Genc, Sila, Robert E. Smith, Charles B. Malpas, et al.. (2018). Development of white matter fibre density and morphology over childhood: A longitudinal fixel-based analysis. NeuroImage. 183. 666–676. 59 indexed citations
16.
Genc, Sila, Marc L. Seal, Thijs Dhollander, et al.. (2017). White matter alterations at pubertal onset. NeuroImage. 156. 286–292. 35 indexed citations
17.
Ryan, Nicholas P., Sila Genc, Miriam H. Beauchamp, et al.. (2017). White matter microstructure predicts longitudinal social cognitive outcomes after paediatric traumatic brain injury: a diffusion tensor imaging study. Psychological Medicine. 48(4). 679–691. 34 indexed citations
18.
Genc, Sila, Charles B. Malpas, Scott K. Holland, Richard Beare, & Timothy J. Silk. (2017). Neurite density index is sensitive to age related differences in the developing brain. NeuroImage. 148. 373–380. 87 indexed citations
19.
Silk, Timothy J., Sila Genc, Vicki Anderson, et al.. (2016). Developmental brain trajectories in children with ADHD and controls: a longitudinal neuroimaging study. BMC Psychiatry. 16(1). 59–59. 51 indexed citations
20.
Soysal, M. İ., et al.. (2011). The determination of several morphological features of Thrace roller breeds in raised Thrace region.. 8(3). 61–68. 2 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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