Ángel Chamorro

23.2k total citations · 3 hit papers
173 papers, 9.6k citations indexed

About

Ángel Chamorro is a scholar working on Epidemiology, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ángel Chamorro has authored 173 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Epidemiology, 57 papers in Neurology and 46 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ángel Chamorro's work include Acute Ischemic Stroke Management (96 papers), Cerebrovascular and Carotid Artery Diseases (43 papers) and Neuroinflammation and Neurodegeneration Mechanisms (30 papers). Ángel Chamorro is often cited by papers focused on Acute Ischemic Stroke Management (96 papers), Cerebrovascular and Carotid Artery Diseases (43 papers) and Neuroinflammation and Neurodegeneration Mechanisms (30 papers). Ángel Chamorro collaborates with scholars based in Spain, United States and Germany. Ángel Chamorro's co-authors include Anna M. Planas, Xabier Urra, Álvaro Cervera, Sergio Amaro, Ulrich Dirnagl, Vı́ctor Obach, Nicolás Vila, Carles Justicia, Antonio Dávalos and José Castillo and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Ángel Chamorro

171 papers receiving 9.4k citations

Hit Papers

Neuroprotection in acute ... 2000 2026 2008 2017 2016 2000 2012 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ángel Chamorro 3.9k 3.5k 2.1k 1.9k 1.5k 173 9.6k
Xabier Urra 2.4k 0.6× 2.3k 0.7× 1.2k 0.6× 1.1k 0.6× 1.1k 0.7× 97 5.6k
Susan C. Fagan 3.1k 0.8× 3.0k 0.9× 1.4k 0.7× 2.2k 1.1× 628 0.4× 162 9.0k
Roland Veltkamp 3.5k 0.9× 3.4k 1.0× 2.6k 1.3× 1.5k 0.8× 1.6k 1.0× 201 9.6k
Sung‐Chun Tang 1.4k 0.4× 1.7k 0.5× 1.4k 0.7× 1.6k 0.8× 1.1k 0.7× 251 6.9k
Justin A. Zivin 4.9k 1.3× 2.0k 0.6× 2.4k 1.1× 2.6k 1.4× 405 0.3× 174 12.5k
Turgut Tatlisumak 6.1k 1.6× 2.0k 0.6× 4.3k 2.0× 1.3k 0.7× 416 0.3× 314 12.3k
Ji Hoe Heo 4.9k 1.3× 1.0k 0.3× 2.1k 1.0× 994 0.5× 274 0.2× 349 8.9k
Setsuro Ibayashi 1.7k 0.4× 1.1k 0.3× 1.5k 0.7× 1.1k 0.6× 563 0.4× 239 6.2k
Byung‐Woo Yoon 3.0k 0.8× 778 0.2× 2.6k 1.3× 1.0k 0.5× 247 0.2× 235 7.4k
Gregory J. del Zoppo 9.9k 2.5× 5.4k 1.6× 5.1k 2.4× 3.8k 2.0× 1.5k 1.0× 152 19.2k

Countries citing papers authored by Ángel Chamorro

Since Specialization
Citations

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

Fields of papers citing papers by Ángel Chamorro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ángel Chamorro

This figure shows the co-authorship network connecting the top 25 collaborators of Ángel Chamorro. A scholar is included among the top collaborators of Ángel Chamorro 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 Ángel Chamorro. Ángel Chamorro 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.
Rudilosso, Salvatore, Emma Muñoz‐Moreno, Carlos Laredo, et al.. (2025). Perivascular and parenchymal brain fluid diffusivity in patients with a recent small subcortical infarct. Neuroradiology. 67(3). 599–611. 3 indexed citations
2.
Sozzi, C., Emma Muñoz‐Moreno, Carlos Laredo, et al.. (2024). Deep Medullary Vein Integrity and Relationships with Small Vessel Disease and Interstitial Diffusivity Measures in Patients with a Recent Small Subcortical Infarct. American Journal of Neuroradiology. 46(6). 1103–1111. 3 indexed citations
3.
Santana, Daniel, Laura Llull, Leire Pedrosa, et al.. (2024). Neuroaxonal Injury May Mediate the Association Between Hyperglycemia and Prognosis in Spontaneous Subarachnoid Hemorrhage. Molecular Neurobiology. 62(2). 1467–1477. 1 indexed citations
5.
Gory, Benjamin, Stephanos Finitsis, Jean‐Marc Olivot, et al.. (2023). Intravenous Thrombolysis before Complete Angiographic Reperfusion: Beyond Angiographic Assessment to Target Microvascular Obstruction?. Annals of Neurology. 95(4). 762–773. 1 indexed citations
6.
Farjat‐Pasos, Julio I., et al.. (2023). Cerebrovascular Events in Older Patients With Patent Foramen Ovale: Current Status and Future Perspectives. Journal of Stroke. 25(3). 338–349. 10 indexed citations
7.
Abdalkader, Mohamad, James E. Siegler, Anna M. Cervantes‐Arslanian, et al.. (2021). Cerebral Venous Sinus Thrombosis in COVID-19 Patients: A Multicenter Study and Review of Literature. Journal of Stroke and Cerebrovascular Diseases. 30(6). 105733–105733. 58 indexed citations
8.
Westendorp, Willeke F., Craig J. Smith, Amit K Kishore, et al.. (2021). Preventive antibiotic therapy in acute stroke patients: A systematic review and meta-analysis of individual patient data of randomized controlled trials. European Stroke Journal. 6(4). 385–394. 17 indexed citations
9.
Salas-Perdomo, Angélica, Francesc Miró‐Mur, Mattia Gallizioli, et al.. (2019). Role of the S1P pathway and inhibition by fingolimod in preventing hemorrhagic transformation after stroke. Scientific Reports. 9(1). 8309–8309. 136 indexed citations
11.
Kishore, Amit K, Adam R. Jeans, Javier Garau, et al.. (2019). Antibiotic treatment for pneumonia complicating stroke: Recommendations from the pneumonia in stroke consensus (PISCES) group. European Stroke Journal. 4(4). 318–328. 27 indexed citations
12.
Kishore, Amit K, Andy Vail, Adam R. Jeans, et al.. (2018). Microbiological Etiologies of Pneumonia Complicating Stroke. Stroke. 49(7). 1602–1609. 42 indexed citations
13.
Pedragosa, Jordi, Angélica Salas-Perdomo, Mattia Gallizioli, et al.. (2018). CNS-border associated macrophages respond to acute ischemic stroke attracting granulocytes and promoting vascular leakage. Acta Neuropathologica Communications. 6(1). 76–76. 103 indexed citations
14.
Amarenco, Pierre, Leïla Sissani, Julien Labreuche, et al.. (2017). The Intracranial-B<sub>2</sub>LEED<sub>3</sub>S Score and the Risk of Intracranial Hemorrhage in Ischemic Stroke Patients Under Antiplatelet Treatment. Cerebrovascular Diseases. 43(3-4). 145–151. 15 indexed citations
15.
Abboud, Halim, Leïla Sissani, Julien Labreuche, et al.. (2017). Specificities of Ischemic Stroke Risk Factors in Arab-Speaking Countries. Cerebrovascular Diseases. 43(3-4). 169–177. 3 indexed citations
16.
Chamorro, Ángel, Sergio Amaro, Mar Castellanos, et al.. (2016). Uric acid therapy improves the outcomes of stroke patients treated with intravenous tissue plasminogen activator and mechanical thrombectomy. International Journal of Stroke. 12(4). 377–382. 54 indexed citations
17.
Urra, Xabier, Luís San Román, Mónica Millán, et al.. (2014). Medical and Endovascular Treatment of Patients with Large Vessel Occlusion Presenting with Mild Symptoms: An Observational Multicenter Study. Cerebrovascular Diseases. 38(6). 418–424. 42 indexed citations
18.
Planas, Anna M., Manuel Gómez‐Choco, Xabier Urra, et al.. (2012). Brain-Derived Antigens in Lymphoid Tissue of Patients with Acute Stroke. The Journal of Immunology. 188(5). 2156–2163. 135 indexed citations
20.
Chamorro, Ángel, et al.. (1994). Posthypoxic myoclonus in intensive care.. PubMed. 1(3). 120–2. 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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