Sona Saksena

1.6k total citations
39 papers, 1.2k citations indexed

About

Sona Saksena is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Sona Saksena has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiology, Nuclear Medicine and Imaging, 15 papers in Pediatrics, Perinatology and Child Health and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Sona Saksena's work include Advanced Neuroimaging Techniques and Applications (30 papers), Fetal and Pediatric Neurological Disorders (15 papers) and Advanced MRI Techniques and Applications (10 papers). Sona Saksena is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (30 papers), Fetal and Pediatric Neurological Disorders (15 papers) and Advanced MRI Techniques and Applications (10 papers). Sona Saksena collaborates with scholars based in India, United States and Germany. Sona Saksena's co-authors include Rakesh K. Gupta, R.K.S. Rathore, Richa Trivedi, Mazhar Husain, Chandra M. Pandey, Nuzhat Husain, Ponnada A. Narayana, Raj Kumar, Rajan Jain and Tom Mikkelsen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Magnetic Resonance in Medicine and Epilepsia.

In The Last Decade

Sona Saksena

39 papers receiving 1.2k citations

Peers

Sona Saksena
Roxana Gunny United Kingdom
D. Ducreux France
Jeffrey M. Pollock United States
Jacques Schneider Switzerland
Ianina Scheer Switzerland
Sona Saksena
Citations per year, relative to Sona Saksena Sona Saksena (= 1×) peers Müfıt Parlak

Countries citing papers authored by Sona Saksena

Since Specialization
Citations

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

Fields of papers citing papers by Sona Saksena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sona Saksena

This figure shows the co-authorship network connecting the top 25 collaborators of Sona Saksena. A scholar is included among the top collaborators of Sona Saksena 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 Sona Saksena. Sona Saksena 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.
Faro, Scott H., Sona Saksena, Mahdi Alizadeh, et al.. (2022). DTI of chronic spinal cord injury in children without MRI abnormalities (SCIWOMR) and with pathology on MRI and comparison to severity of motor impairment. Spinal Cord. 60(5). 457–464. 3 indexed citations
2.
Saksena, Sona, Feroze B. Mohamed, Mahdi Alizadeh, et al.. (2018). Diffusion Tensor Imaging Assessment of Regional White Matter Changes in the Cervical and Thoracic Spinal Cord in Pediatric Subjects. Journal of Neurotrauma. 36(6). 853–861. 14 indexed citations
3.
Alizadeh, Mahdi, Sona Saksena, Jürgen Finsterbusch, et al.. (2018). Age related diffusion and tractography changes in typically developing pediatric cervical and thoracic spinal cord. NeuroImage Clinical. 18. 784–792. 10 indexed citations
4.
Alizadeh, Mahdi, Pallav Shah, Sona Saksena, et al.. (2017). Identification of ghost artifact using texture analysis in pediatric spinal cord diffusion tensor images. Magnetic Resonance Imaging. 47. 7–15. 7 indexed citations
5.
Saksena, Sona, Pallav Shah, Scott H. Faro, et al.. (2016). Diffusion Tensor Imaging of the Normal Cervical and Thoracic Pediatric Spinal Cord. American Journal of Neuroradiology. 37(11). 2150–2157. 22 indexed citations
6.
Nazem‐Zadeh, Mohammad‐Reza, Sona Saksena, Quan Jiang, et al.. (2012). Segmentation of corpus callosum using diffusion tensor imaging: validation in patients with glioblastoma. BMC Medical Imaging. 12(1). 10–10. 17 indexed citations
7.
Jain, Rajan, Jayant Narang, L. Schultz, et al.. (2011). Permeability Estimates in Histopathology-Proved Treatment-Induced Necrosis Using Perfusion CT: Can These Add to Other Perfusion Parameters in Differentiating from Recurrent/Progressive Tumors?. American Journal of Neuroradiology. 32(4). 658–663. 35 indexed citations
8.
Kumar, Raj, Sona Saksena, Mazhar Husain, et al.. (2010). Serial Changes in Diffusion Tensor Imaging Metrics of Corpus Callosum in Moderate Traumatic Brain Injury Patients and Their Correlation With Neuropsychometric Tests. Journal of Head Trauma Rehabilitation. 25(1). 31–42. 40 indexed citations
9.
Kumar, Manoj, Rakesh K. Gupta, Sona Saksena, et al.. (2010). A diffusion tensor imaging study of deep gray and white matter brain maturation differences between patients with spina bifida cystica and healthy controls. Journal of Clinical Neuroscience. 17(7). 879–885. 11 indexed citations
11.
Jain, Rajan, Jayant Narang, Pia C. Sundgren, et al.. (2010). Treatment induced necrosis versus recurrent/progressing brain tumor: going beyond the boundaries of conventional morphologic imaging. Journal of Neuro-Oncology. 100(1). 17–29. 45 indexed citations
12.
Trivedi, Richa, Sona Saksena, Manoj Kumar, et al.. (2010). Quantification of age- and gender-related changes in diffusion tensor imaging indices in deep grey matter of the normal human brain. Journal of Clinical Neuroscience. 18(2). 193–196. 42 indexed citations
13.
Kumar, Raj, Rakesh Gupta, Mazhar Husain, et al.. (2009). Comparative evaluation of corpus callosum DTI metrics in acute mild and moderate traumatic brain injury: Its correlation with neuropsychometric tests. Brain Injury. 23(7-8). 675–685. 128 indexed citations
14.
Trivedi, Richa, Rakesh K. Gupta, Nuzhat Husain, et al.. (2009). Region-specific maturation of cerebral cortex in human fetal brain: diffusion tensor imaging and histology. Neuroradiology. 51(9). 567–576. 38 indexed citations
15.
Trivedi, Richa, Nuzhat Husain, R.K.S. Rathore, et al.. (2009). Correlation of Diffusion Tensor Imaging with Histology in the Developing Human Frontal Cerebrum. Developmental Neuroscience. 31(6). 487–496. 16 indexed citations
16.
Gupta, Rakesh K., Sona Saksena, R.K.S. Rathore, et al.. (2009). Correlation of DTI metrics in the wall and cavity of brain abscess with histology and immunohistochemistry. NMR in Biomedicine. 23(3). 262–269. 11 indexed citations
17.
Haris, Mohammad, Nuzhat Husain, Anup Singh, et al.. (2008). Dynamic Contrast-Enhanced Derived Cerebral Blood Volume Correlates Better With Leak Correction Than With No Correction for Vascular Endothelial Growth Factor, Microvascular Density, and Grading of Astrocytoma. Journal of Computer Assisted Tomography. 32(6). 955–965. 31 indexed citations
19.
Gupta, Rakesh K., Sona Saksena, Anil Chandra, et al.. (2008). Retrograde Wallerian degeneration of cranial corticospinal tracts in cervical spinal cord injury patients using diffusion tensor imaging. Journal of Neuroscience Research. 86(10). 2271–2280. 49 indexed citations
20.
Saksena, Sona, et al.. (2006). MR Demonstration of Complete Cerebellar and Corpus Callosum Agenesis. Pediatric Neurosurgery. 43(1). 29–31. 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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