Elisa Dell’Oglio

465 total citations
8 papers, 370 citations indexed

About

Elisa Dell’Oglio is a scholar working on Pathology and Forensic Medicine, Rheumatology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Elisa Dell’Oglio has authored 8 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 4 papers in Rheumatology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Elisa Dell’Oglio's work include Multiple Sclerosis Research Studies (6 papers), Systemic Lupus Erythematosus Research (3 papers) and Balance, Gait, and Falls Prevention (1 paper). Elisa Dell’Oglio is often cited by papers focused on Multiple Sclerosis Research Studies (6 papers), Systemic Lupus Erythematosus Research (3 papers) and Balance, Gait, and Falls Prevention (1 paper). Elisa Dell’Oglio collaborates with scholars based in United States and Italy. Elisa Dell’Oglio's co-authors include Charles R.G. Guttmann, Rohit Bakshi, Dominik Meier, Brian C. Healy, Ashish Arora, Shahamat Tauhid, A. Ceccarelli, Maria Liguori, Bonnie I. Glanz and Ralph H. B. Benedict and has published in prestigious journals such as NeuroImage, Annals of Neurology and American Journal of Neuroradiology.

In The Last Decade

Elisa Dell’Oglio

8 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elisa Dell’Oglio United States 7 221 127 85 72 43 8 370
RA Page United Kingdom 2 403 1.8× 147 1.2× 178 2.1× 99 1.4× 60 1.4× 3 540
Venkata S. Dandamudi United States 9 145 0.7× 88 0.7× 117 1.4× 59 0.8× 29 0.7× 9 325
E. W. Rad� Switzerland 10 202 0.9× 147 1.2× 220 2.6× 61 0.8× 44 1.0× 10 525
J Furby United Kingdom 8 331 1.5× 55 0.4× 119 1.4× 105 1.5× 19 0.4× 8 400
Francesca Possa Italy 5 374 1.7× 164 1.3× 93 1.1× 87 1.2× 57 1.3× 7 435
Muna‐Miriam Hoshi Germany 9 276 1.2× 80 0.6× 95 1.1× 106 1.5× 53 1.2× 13 399
G. Vacca Italy 14 302 1.4× 77 0.6× 132 1.6× 128 1.8× 13 0.3× 16 482
Giuseppe Santuccio Italy 7 273 1.2× 77 0.6× 76 0.9× 60 0.8× 50 1.2× 10 317
Piotr Sowa Norway 9 170 0.8× 69 0.5× 56 0.7× 38 0.5× 22 0.5× 27 308
T. Korteweg Netherlands 6 309 1.4× 60 0.5× 133 1.6× 127 1.8× 20 0.5× 7 346

Countries citing papers authored by Elisa Dell’Oglio

Since Specialization
Citations

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

Fields of papers citing papers by Elisa Dell’Oglio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elisa Dell’Oglio. 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 Elisa Dell’Oglio. The network helps show where Elisa Dell’Oglio may publish in the future.

Co-authorship network of co-authors of Elisa Dell’Oglio

This figure shows the co-authorship network connecting the top 25 collaborators of Elisa Dell’Oglio. A scholar is included among the top collaborators of Elisa Dell’Oglio 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 Elisa Dell’Oglio. Elisa Dell’Oglio 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.
Dell’Oglio, Elisa, Antonia Ceccarelli, Bonnie I. Glanz, et al.. (2014). Quantification of Global Cerebral Atrophy in Multiple Sclerosis from 3T MRI Using SPM: The Role of Misclassification Errors. Journal of Neuroimaging. 25(2). 191–199. 23 indexed citations
2.
Ceccarelli, A., Jonathan S. Jackson, Shahamat Tauhid, et al.. (2012). The Impact of Lesion In-Painting and Registration Methods on Voxel-Based Morphometry in Detecting Regional Cerebral Gray Matter Atrophy in Multiple Sclerosis. American Journal of Neuroradiology. 33(8). 1579–1585. 52 indexed citations
3.
Sorond, Farzaneh A., Dan K. Kiely, Andrew Galica, et al.. (2011). Neurovascular coupling is impaired in slow walkers: The MOBILIZE Boston Study. Annals of Neurology. 70(2). 213–220. 87 indexed citations
4.
Cohen, Adam B., Mohit Neema, Ashish Arora, et al.. (2011). The Relationships among MRI‐Defined Spinal Cord Involvement, Brain Involvement, and Disability in Multiple Sclerosis. Journal of Neuroimaging. 22(2). 122–128. 79 indexed citations
5.
Klein, Jan, Ashish Arora, M. Neema, et al.. (2011). A 3T MR Imaging Investigation of the Topography of Whole Spinal Cord Atrophy in Multiple Sclerosis. American Journal of Neuroradiology. 32(6). 1138–1142. 39 indexed citations
6.
Mike, Andrea, Bonnie I. Glanz, Peter Hildenbrand, et al.. (2011). Identification and Clinical Impact of Multiple Sclerosis Cortical Lesions as Assessed by Routine 3T MR Imaging. American Journal of Neuroradiology. 32(3). 515–521. 70 indexed citations
7.
Sampat, Mehul, Brian C. Healy, Dominik Meier, et al.. (2010). Disease modeling in multiple sclerosis: Assessment and quantification of sources of variability in brain parenchymal fraction measurements. NeuroImage. 52(4). 1367–1373. 19 indexed citations
8.
Ceccarelli, Antonia, Jonathan S. Jackson, Ashish Arora, et al.. (2010). Abstract #7: Voxel Based Morphometry with DARTEL in Multiple Sclerosis. Neurotherapeutics. 7(3). 330–330. 1 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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