Sila Genc

2.0k citations
37 papers · 907 · h-index 18

Impact in

Papers in

Sila Genc

32 papers receiving 903 citations

Peers

Sila Genc
Comparison fields: 5 of 88
  • Radiology, Nuclear Medicine and Imaging 425
  • Computational Mathematics 9
  • Cognitive Neuroscience 255
  • Pediatrics, Perinatology and Child Health 170
  • Psychiatry and Mental health 120
Replace Gabriela Spulber with:
Gabriela Spulber Sweden
Agnieszka Sabisz Poland
Yeonsil Moon South Korea
Antonia Ceccarelli Italy
Valeria Kochunov United States
Ying Cui China
Natalie J. Forde Netherlands
Priya Rajagopalan United States
Rodrigo Perea United States
David Lahna United States
Sila Genc relative to Gabriela Spulber Sweden Gabriela Spulber's profile →
Citations per field
00.5×5.9×
Gabriela Spulber · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Sila Genc, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sila Genc Line = papers co-authored together Sila Genc links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201892
2 201791
3 201966
4 201664
5 201861
6 202060
7 201651
8 201843
9 201736
10 202135
11 201734
12 201831
13 201529
14 202027
15 201627
16 202026
17 202225
18 202024
19 201615
20 202313

About Sila Genc

Sila Genc is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health, Cognitive Neuroscience, Epidemiology and Psychiatry and Mental health, having authored 37 papers that have together received 907 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (20 papers), Fetal and Pediatric Neurological Disorders (10 papers), Advanced MRI Techniques and Applications (8 papers), Traumatic Brain Injury Research (4 papers), Functional Brain Connectivity Studies (4 papers), Attention Deficit Hyperactivity Disorder (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (425 citations), Computational Mathematics (9 citations), Cognitive Neuroscience (255 citations), Pediatrics, Perinatology and Child Health (170 citations) and Psychiatry and Mental health (120 citations). Sila Genc has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Charles B. Malpas, Timothy J. Silk, Derek K. Jones, Marc L. Seal, Vicki Anderson, Erika P. Raven, Maxime Chamberland, Chantal M. W. Tax, Greg D. Parker and Richard Beare. Their work appears in journals such as NeuroImage, Cortex, Journal of Affective Disorders, Human Brain Mapping and Journal of Magnetic Resonance Imaging.

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.

Explore authors with similar magnitude of impact