Nicolas Bianchi

2.0k total citations
40 papers, 628 citations indexed

About

Nicolas Bianchi is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Rehabilitation. According to data from OpenAlex, Nicolas Bianchi has authored 40 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Epidemiology, 15 papers in Pulmonary and Respiratory Medicine and 14 papers in Rehabilitation. Recurrent topics in Nicolas Bianchi's work include Acute Ischemic Stroke Management (35 papers), Cerebrovascular and Carotid Artery Diseases (15 papers) and Stroke Rehabilitation and Recovery (14 papers). Nicolas Bianchi is often cited by papers focused on Acute Ischemic Stroke Management (35 papers), Cerebrovascular and Carotid Artery Diseases (15 papers) and Stroke Rehabilitation and Recovery (14 papers). Nicolas Bianchi collaborates with scholars based in United States, Japan and Italy. Nicolas Bianchi's co-authors include Raul G. Nogueira, Michael Frankel, Diogo C Haussen, Mehdi Bouslama, Jonathan A Grossberg, Samir Belagaje, Aaron Anderson, Letícia C. Rebello, Alhamza R Al‐Bayati and Gustavo Pradilla and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and Stroke.

In The Last Decade

Nicolas Bianchi

38 papers receiving 620 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas Bianchi United States 13 552 388 187 164 161 40 628
Alhamza R Al‐Bayati United States 15 609 1.1× 456 1.2× 178 1.0× 203 1.2× 244 1.5× 83 753
Harris Hawk United States 9 551 1.0× 369 1.0× 173 0.9× 198 1.2× 291 1.8× 17 648
Amin Aghaebrahim United States 11 393 0.7× 238 0.6× 115 0.6× 139 0.8× 264 1.6× 31 498
Vincent Costalat France 5 569 1.0× 383 1.0× 220 1.2× 253 1.5× 241 1.5× 7 637
Letícia C. Rebello United States 17 894 1.6× 555 1.4× 255 1.4× 312 1.9× 396 2.5× 28 954
Shumei Man United States 13 435 0.8× 160 0.4× 200 1.1× 160 1.0× 142 0.9× 26 517
Alex Spiotta United States 5 985 1.8× 602 1.6× 382 2.0× 397 2.4× 385 2.4× 6 1.0k
A. Safdar Australia 6 278 0.5× 102 0.3× 96 0.5× 106 0.6× 135 0.8× 8 367
Chantal Nifle France 5 405 0.7× 274 0.7× 57 0.3× 65 0.4× 117 0.7× 8 525
Nils Mueller‐Kronast United States 12 329 0.6× 209 0.5× 112 0.6× 130 0.8× 218 1.4× 31 439

Countries citing papers authored by Nicolas Bianchi

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Bianchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Bianchi

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Bianchi. A scholar is included among the top collaborators of Nicolas Bianchi 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 Nicolas Bianchi. Nicolas Bianchi 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.
Bouslama, Mehdi, Diogo C Haussen, Krishnan Ravindran, et al.. (2022). Clinical Outcomes in Basal Ganglia Strokes Treated With Mechanical Thrombectomy. SHILAP Revista de lepidopterología. 2(6). e000350–e000350. 2 indexed citations
2.
Bhatt, Nirav, Michael Frankel, Raul G. Nogueira, et al.. (2021). Reliability of Field Assessment Stroke Triage for Emergency Destination Scale Use by Paramedics: Mobile Stroke Unit First-Year Experience. Stroke. 52(8). 2530–2536. 9 indexed citations
3.
Mohammaden, Mahmoud, Diogo C Haussen, Leonardo Pisani, et al.. (2021). No Racial Disparity in Outcome Measures After Endovascular Treatment for Stroke in the Elderly. Stroke. 53(1). 128–133. 5 indexed citations
4.
Mohammaden, Mahmoud, Diogo C Haussen, Leonardo Pisani, et al.. (2021). Lack of Reperfusion Rather Than Number of Passes Defines Futility in Stroke Thrombectomy: A Matched Case-Control Study. Stroke. 52(9). 2757–2763. 7 indexed citations
5.
Rangaraju, Srikant, et al.. (2021). Hematoma Expansion in Patients Diagnosed with Intracranial Hemorrhage on Mobile Stroke Unit (4821). Neurology. 96(15_supplement). 1 indexed citations
6.
7.
Saleem, Yasir, Raul G. Nogueira, Gabriel Martins Rodrigues, et al.. (2020). Acute Neurological Deterioration in Large Vessel Occlusions and Mild Symptoms Managed Medically. Stroke. 51(5). 1428–1434. 52 indexed citations
8.
Nahab, Fadi, Sleiman El Jamal, Alexander Duncan, et al.. (2020). Markers of coagulation and hemostatic activation aid in identifying causes of cryptogenic stroke. Neurology. 94(18). e1892–e1899. 20 indexed citations
9.
Rodrigues, Gabriel Martins, Clara Barreira, Mehdi Bouslama, et al.. (2020). Abstract WP61: Artificial Intelligence for Automated Detection of Large Vessel Occlusion Strokes. Stroke. 51(Suppl_1). 2 indexed citations
10.
Bouslama, Mehdi, Clara Barreira, Diogo C Haussen, et al.. (2019). Body Mass Index and Clinical Outcomes in Large Vessel Occlusion Acute Ischemic Stroke after Endovascular Therapy. Interventional Neurology. 8(2-6). 144–151. 14 indexed citations
11.
Haussen, Diogo C, Mehdi Bouslama, Seena Dehkharghani, et al.. (2018). Automated CT Perfusion Prediction of Large Vessel Acute Stroke from Intracranial Atherosclerotic Disease. Interventional Neurology. 7(6). 334–340. 21 indexed citations
12.
Rangaraju, Srikant, Alexander Duncan, Michael Hoskins, et al.. (2018). Coagulation markers and echocardiography predict atrial fibrillation, malignancy or recurrent stroke after cryptogenic stroke. Medicine. 97(51). e13830–e13830. 21 indexed citations
13.
Rebello, Letícia C., Mehdi Bouslama, Diogo C Haussen, et al.. (2017). Clinical and Imaging Outcomes of Endovascular Therapy in Patients with Acute Large Vessel Occlusion Stroke and Mild Clinical Symptoms. Interventional Neurology. 7(1-2). 91–98. 9 indexed citations
14.
Brown, Aliza, Feifei Wei, William C. Culp, et al.. (2016). Emergency transport of stroke suspects in a rural state: opportunities for improvement. The American Journal of Emergency Medicine. 34(8). 1640–1644. 7 indexed citations
15.
Brown, Aliza, Nicolas Bianchi, Feifei Wei, et al.. (2016). Abstract TP243: Emergency Transport of Stroke Patients in a Rural State: Opportunities for Improvement in Arkansas. Stroke. 47(suppl_1). 1 indexed citations
16.
Yaghi, Shadi, Archana Hinduja, & Nicolas Bianchi. (2015). Predictors of major improvement after intravenous thrombolysis in acute ischemic stroke. International Journal of Neuroscience. 126(1). 67–69. 12 indexed citations
17.
Patel, Anand, et al.. (2014). Compare The Functional Outcome In Ischemic Strokes Based On The TOAST Classification. (P1.117). Neurology. 82(10_supplement). 1 indexed citations
18.
Yaghi, Shadi, et al.. (2013). Thrombolysis to stroke mimics in telestroke. Journal of Telemedicine and Telecare. 11 indexed citations
19.
Yaghi, Shadi, Archana Hinduja, & Nicolas Bianchi. (2012). The Effect of Admission Hyperglycemia in Stroke Patients Treated With Thrombolysis. International Journal of Neuroscience. 122(11). 637–640. 6 indexed citations
20.
Bianchi, Nicolas, et al.. (1996). Magnetic Resonance Imaging in Primary and Secondary Septorhinoplasty. Facial Plastic Surgery. 12(4). 321–332. 3 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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