Fernando D. Testai

6.1k total citations
123 papers, 2.6k citations indexed

About

Fernando D. Testai is a scholar working on Neurology, Epidemiology and Molecular Biology. According to data from OpenAlex, Fernando D. Testai has authored 123 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Neurology, 29 papers in Epidemiology and 23 papers in Molecular Biology. Recurrent topics in Fernando D. Testai's work include Acute Ischemic Stroke Management (27 papers), Intracerebral and Subarachnoid Hemorrhage Research (25 papers) and Intracranial Aneurysms: Treatment and Complications (19 papers). Fernando D. Testai is often cited by papers focused on Acute Ischemic Stroke Management (27 papers), Intracerebral and Subarachnoid Hemorrhage Research (25 papers) and Intracranial Aneurysms: Treatment and Complications (19 papers). Fernando D. Testai collaborates with scholars based in United States, Argentina and Trinidad and Tobago. Fernando D. Testai's co-authors include Joseph R. Geraghty, Philip B. Gorelick, Gabriela Trifan, Dale A. Pelligrino, Glyn Dawson, Matthew K. Tobin, Jacqueline A. Bonds, Richard D. Minshall, Orly Lazarov and Venkatesh Aiyagari and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Neurology.

In The Last Decade

Fernando D. Testai

111 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando D. Testai United States 28 982 627 598 450 292 123 2.6k
Tomasz Dziedzic Poland 30 808 0.8× 448 0.7× 836 1.4× 591 1.3× 291 1.0× 104 2.7k
Agnieszka Słowik Poland 29 797 0.8× 692 1.1× 934 1.6× 587 1.3× 440 1.5× 189 3.2k
Roger E. Kelley United States 25 664 0.7× 376 0.6× 532 0.9× 319 0.7× 236 0.8× 69 2.2k
Kazuo Yamashiro Japan 23 512 0.5× 590 0.9× 359 0.6× 490 1.1× 214 0.7× 95 2.0k
En Xu China 27 1.0k 1.0× 469 0.7× 1.3k 2.1× 300 0.7× 397 1.4× 66 2.6k
Tomás Segura Spain 29 893 0.9× 373 0.6× 1.0k 1.7× 432 1.0× 450 1.5× 114 2.9k
Alejandro Bustamante Spain 28 576 0.6× 694 1.1× 1.1k 1.8× 509 1.1× 337 1.2× 90 2.3k
Markus Weih Germany 25 427 0.4× 464 0.7× 375 0.6× 319 0.7× 121 0.4× 85 2.1k
Hans‐Göran Hårdemark Sweden 19 1.1k 1.1× 702 1.1× 931 1.6× 422 0.9× 255 0.9× 26 2.2k
Chung‐Ching Chio Taiwan 37 1.0k 1.0× 937 1.5× 583 1.0× 444 1.0× 126 0.4× 129 3.7k

Countries citing papers authored by Fernando D. Testai

Since Specialization
Citations

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

Fields of papers citing papers by Fernando D. Testai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando D. Testai. 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 Fernando D. Testai. The network helps show where Fernando D. Testai may publish in the future.

Co-authorship network of co-authors of Fernando D. Testai

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando D. Testai. A scholar is included among the top collaborators of Fernando D. Testai 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 Fernando D. Testai. Fernando D. Testai 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.
Sapkota, Shraddha, Pauline Maillard, Ariana M. Stickel, et al.. (2025). Multimodal Associations of Modifiable Risk Factors on White Matter Injury: The SOL-INCA-MRI Study (HCHS/SOL). Stroke. 56(5). 1138–1148.
2.
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Tarraf, Wassim, Ariana M. Stickel, Kevin A. González, et al.. (2024). Hypertension, Cognitive Decline, and Mild Cognitive Impairment Among Diverse Hispanics/Latinos: Study of Latinos-Investigation of Neurocognitive Aging Results (SOL-INCA). Journal of Alzheimer s Disease. 97(3). 1449–1461. 6 indexed citations
4.
Testai, Fernando D., Philip B. Gorelick, Xing Dai, et al.. (2024). Cardiac Contributions to Brain Health: A Scientific Statement From the American Heart Association. Stroke. 55(12). e425–e438. 24 indexed citations
5.
Bello, Natalie A., Neil Schneiderman, Tatjana Rundek, et al.. (2023). Life's Essential 8 and Incident Hypertension Among US Hispanic/Latino Adults: Results From the Hispanic Community Health Study/Study of Latinos. Journal of the American Heart Association. 12(24). e031337–e031337. 10 indexed citations
6.
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Testai, Fernando D., et al.. (2022). Navigating Antiplatelet Treatment Options for Stroke: Evidence-Based and Pragmatic Strategies. Current Neurology and Neuroscience Reports. 22(11). 789–802. 5 indexed citations
8.
Testai, Fernando D., et al.. (2022). Neurological Manifestations of Acute Porphyrias. Current Neurology and Neuroscience Reports. 22(7). 355–362. 9 indexed citations
9.
Testai, Fernando D., et al.. (2022). Bilirubin Encephalopathy. Current Neurology and Neuroscience Reports. 22(7). 343–353. 26 indexed citations
10.
Trifan, Gabriela, Philip B. Gorelick, & Fernando D. Testai. (2021). Efficacy and Safety of Using Dual Versus Monotherapy Antiplatelet Agents in Secondary Stroke Prevention: Systematic Review and Meta-Analysis of Randomized Controlled Clinical Trials. Circulation. 143(25). 2441–2453. 15 indexed citations
11.
Testai, Fernando D., et al.. (2021). Efficacy and Safety of PCSK9 Inhibitors in Stroke Prevention. Journal of Stroke and Cerebrovascular Diseases. 30(11). 106057–106057. 10 indexed citations
12.
Testai, Fernando D., et al.. (2021). Advances and ongoing controversies in PFO closure and cryptogenic stroke. Handbook of clinical neurology. 177. 43–56. 5 indexed citations
13.
Geraghty, Joseph R., et al.. (2020). Inflammasome Caspase-1 Activity is Elevated in Cerebrospinal Fluid After Aneurysmal Subarachnoid Hemorrhage and Predicts Functional Outcome. Neurocritical Care. 34(3). 889–898. 14 indexed citations
14.
Trifan, Gabriela, et al.. (2019). Intraventricular Hemorrhage Severity as a Predictor of Outcome in Intracerebral Hemorrhage. Frontiers in Neurology. 10. 217–217. 33 indexed citations
15.
Ding, Dale, Padmini Sekar, Charles J. Moomaw, et al.. (2018). Venous Thromboembolism in Patients With Spontaneous Intracerebral Hemorrhage: A Multicenter Study. Neurosurgery. 84(6). E304–E310. 34 indexed citations
16.
Trifan, Gabriela, et al.. (2018). Elevated Serum Troponin Levels Predict Worse Outcome After Intracerebral Hemorrhage (P1.248). Neurology. 90(15_supplement).
17.
Xu, Hao‐Liang, Francesco Vetri, Tibor Vályi-Nagy, et al.. (2016). Intracerebroventricular application of S100B selectively impairs pial arteriolar dilating function in rats. Brain Research. 1634. 171–178. 7 indexed citations
18.
Pelligrino, Dale A., et al.. (2015). Protective role of fingolimod (FTY720) in rats subjected to subarachnoid hemorrhage. Journal of Neuroinflammation. 12(1). 16–16. 34 indexed citations
19.
Testai, Fernando D. & Philip B. Gorelick. (2010). Inherited Metabolic Disorders and Stroke Part 1. Archives of Neurology. 67(1). 19–24. 61 indexed citations
20.
Testai, Fernando D., et al.. (1997). INVOLVEMENT OF HISTIDINE 134 IN THE BINDING OF α-BUNGAROTOXIN TO THE NICOTINIC ACETYLCHOLINE RECEPTOR. Neurochemistry International. 31(1). 151–157. 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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