Pina C. Sanelli

7.1k total citations · 1 hit paper
201 papers, 4.9k citations indexed

About

Pina C. Sanelli is a scholar working on Epidemiology, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Pina C. Sanelli has authored 201 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Epidemiology, 70 papers in Neurology and 65 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Pina C. Sanelli's work include Acute Ischemic Stroke Management (67 papers), Cerebrovascular and Carotid Artery Diseases (49 papers) and Traumatic Brain Injury and Neurovascular Disturbances (42 papers). Pina C. Sanelli is often cited by papers focused on Acute Ischemic Stroke Management (67 papers), Cerebrovascular and Carotid Artery Diseases (49 papers) and Traumatic Brain Injury and Neurovascular Disturbances (42 papers). Pina C. Sanelli collaborates with scholars based in United States, Germany and United Kingdom. Pina C. Sanelli's co-authors include Ajay Gupta, Hooman Kamel, N. Anumula, Ankur Pandya, Hediyeh Baradaran, Ajay Malhotra, Alvin I. Mushlin, Diana Delgado, Xiao Wu and Allison Dunning and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

Pina C. Sanelli

190 papers receiving 4.8k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Carotid Plaque MRI and Stroke Risk

2013 392 citations Ajay Gupta, Hooman Kamel et al. Stroke profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pina C. Sanelli United States	36	1.8k	1.6k	1.5k	1.3k	698	201	4.9k
Mahmud Mossa‐Basha United States	34	1.5k 0.9×	1.8k 1.1×	1.0k 0.7×	1.2k 0.9×	349 0.5×	176	4.3k
Mahesh Jayaraman United States	35	1.5k 0.9×	1.7k 1.0×	2.1k 1.4×	525 0.4×	426 0.6×	155	4.2k
Emmanuel Touzé France	48	2.4k 1.4×	3.3k 2.0×	2.8k 1.8×	862 0.6×	1.5k 2.2×	199	7.2k
Sameer A. Ansari United States	35	1.8k 1.0×	1.3k 0.8×	992 0.7×	548 0.4×	271 0.4×	162	3.5k
Robert M. Kwee Netherlands	34	600 0.3×	1.8k 1.1×	677 0.4×	1.3k 1.0×	541 0.8×	112	4.0k
Ludo F.M. Beenen Netherlands	34	1.3k 0.8×	786 0.5×	1.2k 0.8×	875 0.7×	523 0.7×	152	5.0k
Darius G. Nabavi Germany	31	877 0.5×	935 0.6×	1.5k 1.0×	650 0.5×	588 0.8×	90	3.3k
Daniel S. Hippe United States	37	603 0.3×	2.1k 1.3×	962 0.6×	1.9k 1.5×	896 1.3×	291	5.2k
Ajay Malhotra United States	27	1.2k 0.7×	814 0.5×	721 0.5×	739 0.6×	115 0.2×	255	3.3k
Clemens M. Schirmer United States	31	1.5k 0.9×	1.0k 0.6×	863 0.6×	192 0.1×	279 0.4×	155	3.6k

Countries citing papers authored by Pina C. Sanelli

Since Specialization

Citations

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

Fields of papers citing papers by Pina C. Sanelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pina C. Sanelli. 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 Pina C. Sanelli. The network helps show where Pina C. Sanelli may publish in the future.

Co-authorship network of co-authors of Pina C. Sanelli

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

All Works

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20 of 20 papers shown

Millett, Caitlin E., et al.. (2025). The role of blood–brain barrier dysfunction in cognitive impairments in bipolar disorder—a narrative review. Frontiers in Human Neuroscience. 19. 1504575–1504575. 3 indexed citations

Wang, Jason J., et al.. (2025). Ten-Year Trends in Last Known Well to Arrival Time in Acute Ischemic Stroke Patients: 2014 to 2023. Stroke. 56(3). 591–602. 2 indexed citations

Zeevi, Tal, Stefan P. Haider, Elisa R. Berson, et al.. (2024). Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan. npj Digital Medicine. 7(1). 26–26. 12 indexed citations

Bastani, Mehrad, et al.. (2024). Diagnostic Accuracy of Cone-Beam CT for Acute Intracranial Hemorrhage: A Systematic Review and Meta-Analysis. Journal of the American College of Radiology. 21(12). 1841–1850.

Wang, Jason J., Jeffrey M. Katz, Liron Sinvani, et al.. (2024). Association between Heat Vulnerability Index and Stroke Severity. International Journal of Environmental Research and Public Health. 21(8). 1099–1099. 1 indexed citations

Haider, Stefan P., Ilko Maier, Sanjay Aneja, et al.. (2024). Machine Learning Models for 3-Month Outcome Prediction Using Radiomics of Intracerebral Hemorrhage and Perihematomal Edema from Admission Head Computed Tomography (CT). Diagnostics. 14(24). 2827–2827. 1 indexed citations

Wang, Jason J., et al.. (2023). Gender-Based Disparity in Acute Stroke Imaging Utilization and the Impact on Treatment and Outcomes: 2012 to 2021. Journal of the American College of Radiology. 21(1). 128–140. 3 indexed citations

Demissie, Seleshi, et al.. (2023). Acute ischemic stroke outcomes in patients with COVID-19: a systematic review and meta-analysis. Journal of NeuroInterventional Surgery. 16(4). 333–341. 5 indexed citations

Katz, Jeffrey M., Jason Wang, Ajay Malhotra, et al.. (2022). Cost-effectiveness of endovascular thrombectomy in acute stroke patients with large ischemic core. Journal of NeuroInterventional Surgery. 15(e2). e166–e171. 15 indexed citations

10.

Wu, Xiao, Mihir Khunte, Margarita V. Revzin, et al.. (2022). Diversity in Radiology: Current Status and Trends Over the Past Decade. Radiology. 305(3). 640–647. 39 indexed citations

11.

Boltyenkov, Artem, Pina C. Sanelli, Ruth C. Carlos, & Christian D. Eusemann. (2021). New Ways to Quantify the Value of Diagnostic Imaging in the Era of Value-Based Health Care. Journal of the American College of Radiology. 19(2). 240–242. 2 indexed citations

12.

Shatzkes, Deborah R., Bidyut K. Pramanik, Christopher G. Filippi, et al.. (2021). Impact of SARS-CoV-2 Pandemic on “Stroke Code” Imaging Utilization and Yield. American Journal of Neuroradiology. 42(6). 1017–1022. 3 indexed citations

13.

Wu, Xiao, Mihir Khunte, Seyedmehdi Payabvash, et al.. (2020). Outcomes after Thrombectomy for Minor Stroke: A Meta-Analysis. World Neurosurgery. 149. e1140–e1154. 8 indexed citations

14.

Katz, Jeffrey M., Richard Libman, Jason J. Wang, et al.. (2020). COVID-19 Severity and Stroke: Correlation of Imaging and Laboratory Markers. American Journal of Neuroradiology. 42(2). 257–261. 27 indexed citations

15.

Malhotra, Ajay, Xiao Wu, Howard P. Forman, et al.. (2019). Management of Unruptured Intracranial Aneurysms in Older Adults: A Cost-effectiveness Analysis. Radiology. 291(2). 411–417. 20 indexed citations

16.

Malhotra, Ajay, Xiao Wu, Charles Matouk, et al.. (2019). MR Angiography Screening and Surveillance for Intracranial Aneurysms in Autosomal Dominant Polycystic Kidney Disease: A Cost-effectiveness Analysis. Radiology. 291(2). 400–408. 26 indexed citations

17.

Vagal, Achala, Pina C. Sanelli, Heidi Sucharew, et al.. (2017). Age, Sex, and Racial Differences in Neuroimaging Use in Acute Stroke: A Population-Based Study. American Journal of Neuroradiology. 38(10). 1905–1910. 10 indexed citations

18.

Khurshid, Kiran, Pina C. Sanelli, Alexander Norbash, et al.. (2017). Influences for Gender Disparity in Academic Neuroradiology. American Journal of Neuroradiology. 39(1). 18–23. 72 indexed citations

19.

Pandya, Ankur, Ashley A. Eggman, Hooman Kamel, et al.. (2016). Modeling the Cost Effectiveness of Neuroimaging-Based Treatment of Acute Wake-Up Stroke. PLoS ONE. 11(2). e0148106–e0148106. 11 indexed citations

20.

Wu, Xiao, Ajay Malhotra, Howard P. Forman, Diego Nuñez, & Pina C. Sanelli. (2016). The Use of High-Risk Criteria in Screening Patients for Blunt Cerebrovascular Injury. Academic Radiology. 24(4). 456–461. 7 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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