Valentina Panara

1.3k total citations
19 papers, 649 citations indexed

About

Valentina Panara is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Valentina Panara has authored 19 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Genetics and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Valentina Panara's work include Advanced Neuroimaging Techniques and Applications (9 papers), Advanced MRI Techniques and Applications (5 papers) and Glioma Diagnosis and Treatment (4 papers). Valentina Panara is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (9 papers), Advanced MRI Techniques and Applications (5 papers) and Glioma Diagnosis and Treatment (4 papers). Valentina Panara collaborates with scholars based in Italy, United States and Switzerland. Valentina Panara's co-authors include Nico Papinutto, Roland G. Henry, Eduardo Caverzasi, Massimo Caulo, Iryna Lobach, Regina Schlaeger, Stephen L. Hauser, W. Stern, Kesshi Jordan and Alyssa H. Zhu and has published in prestigious journals such as PLoS ONE, Annals of Neurology and Scientific Reports.

In The Last Decade

Valentina Panara

19 papers receiving 642 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valentina Panara Italy 12 313 220 126 108 74 19 649
Kesshi Jordan United States 10 237 0.8× 187 0.8× 102 0.8× 98 0.9× 42 0.6× 17 542
Chang Yueh Ho United States 16 248 0.8× 46 0.2× 202 1.6× 156 1.4× 70 0.9× 47 786
Chandrajit Prasad India 17 134 0.4× 171 0.8× 165 1.3× 332 3.1× 39 0.5× 77 819
Béatrice Benedetti Italy 18 520 1.7× 594 2.7× 37 0.3× 248 2.3× 51 0.7× 32 1.0k
Paola Feraco Italy 15 92 0.3× 117 0.5× 56 0.4× 96 0.9× 25 0.3× 40 512
Dipayan Mitra United Kingdom 17 77 0.2× 219 1.0× 98 0.8× 283 2.6× 108 1.5× 40 868
Patricia Roche United States 8 101 0.3× 163 0.7× 39 0.3× 140 1.3× 59 0.8× 12 479
F. Zappoli Italy 15 93 0.3× 141 0.6× 93 0.7× 135 1.3× 76 1.0× 35 767
Tsang‐Wei Tu United States 12 435 1.4× 127 0.6× 20 0.2× 131 1.2× 71 1.0× 26 714
Cihan İşler Türkiye 18 128 0.4× 82 0.4× 129 1.0× 164 1.5× 91 1.2× 50 626

Countries citing papers authored by Valentina Panara

Since Specialization
Citations

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

Fields of papers citing papers by Valentina Panara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentina Panara

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

All Works

19 of 19 papers shown
1.
Colasurdo, Marco, Huanwen Chen, Riccardo Navarra, et al.. (2023). Reliability of Functional and Diffusion MR Imaging Near Cerebral Cavernous Malformations. American Journal of Neuroradiology. 44(2). 150–156. 1 indexed citations
2.
Marchetti, Chiara, Valentina Panara, Claudio Celentano, et al.. (2023). Fetal MR Imaging Anatomy of the Transverse Temporal Gyrus (Heschl Gyrus). American Journal of Neuroradiology. 44(11). 1325–1331. 1 indexed citations
3.
4.
Pravatà, Emanuele, et al.. (2022). Differentiating solitary brain metastases from high-grade gliomas with MR: comparing qualitative versus quantitative diagnostic strategies. La radiologia medica. 127(8). 891–898. 13 indexed citations
5.
Pizzi, Andrea Delli, Antonio Maria Chiarelli, Piero Chiacchiaretta, et al.. (2021). Radiomics-based machine learning differentiates “ground-glass” opacities due to COVID-19 from acute non-COVID-19 lung disease. Scientific Reports. 11(1). 17237–17237. 15 indexed citations
6.
Mattei, Peter A., et al.. (2020). MRI-based classification of the anatomical variants of the hippocampal head. Neuroradiology. 62(9). 1105–1110. 2 indexed citations
7.
Pizzi, Andrea Delli, et al.. (2020). Bone marrow magnetic resonance imaging: physiologic and pathologic findings that radiologist should know. La radiologia medica. 126(2). 264–276. 22 indexed citations
8.
Bubbico, Giovanna, Piero Chiacchiaretta, Valentina Panara, et al.. (2019). Effects of Second Language Learning on the Plastic Aging Brain: Functional Connectivity, Cognitive Decline, and Reorganization. Frontiers in Neuroscience. 13. 108–108. 59 indexed citations
10.
Tortora, Domenico, Peter A. Mattei, Riccardo Navarra, et al.. (2017). Prematurity and brain perfusion: Arterial spin labeling MRI. NeuroImage Clinical. 15. 401–407. 32 indexed citations
11.
Panara, Valentina, Riccardo Navarra, Peter A. Mattei, et al.. (2017). Spinal cord microstructure integrating phase-sensitive inversion recovery and diffusional kurtosis imaging. Neuroradiology. 59(8). 819–827. 3 indexed citations
12.
Trignani, M., et al.. (2017). Development of a contouring guide in three different head set-ups for hippocampal sparing radiotherapy: a practical approach. La radiologia medica. 122(9). 683–689. 3 indexed citations
13.
Papinutto, Nico, Regina Schlaeger, Valentina Panara, et al.. (2015). Age, Gender and Normalization Covariates for Spinal Cord Gray Matter and Total Cross-Sectional Areas at Cervical and Thoracic Levels: A 2D Phase Sensitive Inversion Recovery Imaging Study. PLoS ONE. 10(3). e0118576–e0118576. 49 indexed citations
14.
Caverzasi, Eduardo, Shawn L. Hervey‐Jumper, Kesshi Jordan, et al.. (2015). Identifying preoperative language tracts and predicting postoperative functional recovery using HARDI q-ball fiber tractography in patients with gliomas. Journal of neurosurgery. 125(1). 33–45. 101 indexed citations
15.
Schlaeger, Regina, Nico Papinutto, Alyssa H. Zhu, et al.. (2015). Association Between Thoracic Spinal Cord Gray Matter Atrophy and Disability in Multiple Sclerosis. JAMA Neurology. 72(8). 897–897. 75 indexed citations
16.
Schlaeger, Regina, Nico Papinutto, Valentina Panara, et al.. (2014). Spinal cord gray matter atrophy correlates with multiple sclerosis disability. Annals of Neurology. 76(4). 568–580. 143 indexed citations
17.
Caulo, Massimo, Valentina Panara, Domenico Tortora, et al.. (2014). Data-driven Grading of Brain Gliomas: A Multiparametric MR Imaging Study. Radiology. 272(2). 494–503. 77 indexed citations
18.
Tortora, Domenico, Valentina Panara, Peter A. Mattei, et al.. (2014). Comparing 3T T1-Weighted Sequences in Identifying Hyperintense Punctate Lesions in Preterm Neonates. American Journal of Neuroradiology. 36(3). 581–586. 15 indexed citations
19.
Papinutto, Nico, Regina Schlaeger, Valentina Panara, et al.. (2014). 2D phase‐sensitive inversion recovery imaging to measure in vivo spinal cord gray and white matter areas in clinically feasible acquisition times. Journal of Magnetic Resonance Imaging. 42(3). 698–708. 28 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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