Gabriela Trifan

630 total citations
30 papers, 394 citations indexed

About

Gabriela Trifan is a scholar working on Neurology, Epidemiology and Internal Medicine. According to data from OpenAlex, Gabriela Trifan has authored 30 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Neurology, 12 papers in Epidemiology and 6 papers in Internal Medicine. Recurrent topics in Gabriela Trifan's work include Acute Ischemic Stroke Management (11 papers), Intracerebral and Subarachnoid Hemorrhage Research (8 papers) and Venous Thromboembolism Diagnosis and Management (6 papers). Gabriela Trifan is often cited by papers focused on Acute Ischemic Stroke Management (11 papers), Intracerebral and Subarachnoid Hemorrhage Research (8 papers) and Venous Thromboembolism Diagnosis and Management (6 papers). Gabriela Trifan collaborates with scholars based in United States, Canada and Romania. Gabriela Trifan's co-authors include Fernando D. Testai, E. Mark Haacke, David Utriainen, Wei Feng, Sean K. Sethi, David Hubbard, José Biller, Ramtilak Gattu, Randall R. Benson and Zhifeng Kou and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Neurology.

In The Last Decade

Gabriela Trifan

27 papers receiving 380 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriela Trifan United States 11 245 163 49 43 38 30 394
Michaël Obadia France 13 154 0.6× 211 1.3× 91 1.9× 161 3.7× 42 1.1× 46 437
Peyman Shirani United States 13 263 1.1× 307 1.9× 106 2.2× 115 2.7× 16 0.4× 50 531
Maria Chondrogianni Greece 11 127 0.5× 193 1.2× 25 0.5× 68 1.6× 13 0.3× 52 409
Haris Kamal United States 12 142 0.6× 294 1.8× 114 2.3× 115 2.7× 21 0.6× 50 438
Ying Kiat Tan Singapore 9 296 1.2× 99 0.6× 57 1.2× 37 0.9× 8 0.2× 37 473
Redi Rahmani United States 11 168 0.7× 97 0.6× 38 0.8× 70 1.6× 22 0.6× 88 454
Tamara Sauer Germany 10 102 0.4× 192 1.2× 61 1.2× 85 2.0× 17 0.4× 17 298
Syed Hussain United States 9 229 0.9× 359 2.2× 75 1.5× 247 5.7× 31 0.8× 26 500
Christoph Stretz United States 10 123 0.5× 116 0.7× 23 0.5× 49 1.1× 22 0.6× 46 270
Kay Wei Ping Ng Singapore 11 96 0.4× 154 0.9× 49 1.0× 131 3.0× 31 0.8× 23 381

Countries citing papers authored by Gabriela Trifan

Since Specialization
Citations

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

Fields of papers citing papers by Gabriela Trifan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriela Trifan

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriela Trifan. A scholar is included among the top collaborators of Gabriela Trifan 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 Gabriela Trifan. Gabriela Trifan 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.
Trifan, Gabriela, Ariana M. Stickel, J. Cai, et al.. (2025). Association of Cardiovascular Health With Brain Volume and White Matter Integrity. Neurology. 104(8). e213404–e213404. 1 indexed citations
2.
Trifan, Gabriela, et al.. (2025). The Role of Diabetes and SGLT2 Inhibitors in Cerebrovascular Diseases. Current Neurology and Neuroscience Reports. 25(1). 37–37.
3.
Trifan, Gabriela, et al.. (2024). Efficacy and safety of PCSK9 inhibitors for stroke prevention: Systematic review and meta-analysis. Journal of Stroke and Cerebrovascular Diseases. 33(4). 107633–107633. 3 indexed citations
4.
Trifan, Gabriela, et al.. (2024). Efficacy and Safety of Middle Meningeal Artery Embolization for Patients with Chronic Subdural Hematoma: A Systematic Review and Meta-Analysis. Cerebrovascular Diseases. 54(5). 737–745. 3 indexed citations
5.
6.
Stamm, Brian, Gabriela Trifan, Faddi G. Saleh Velez, et al.. (2023). Household income is associated with functional outcomes in a multi-institutional cohort of patients with ischemic stroke and COVID-19. Journal of Stroke and Cerebrovascular Diseases. 32(5). 107059–107059. 1 indexed citations
7.
8.
Testai, Fernando D., et al.. (2023). Efficacy and Safety of Mechanical Thrombectomy in Elderly and Non-Elderly Patients with Large Vessel Occlusion Stroke: Systematic Review and Meta-Analysis. Cerebrovascular Diseases. 53(4). 372–381. 2 indexed citations
9.
Baragi, Vijaykumar M., Ramtilak Gattu, Gabriela Trifan, et al.. (2022). Neuroimaging Markers for Determining Former American Football Players at Risk for Alzheimer's Disease. SHILAP Revista de lepidopterología. 3(1). 398–414. 1 indexed citations
10.
Trifan, Gabriela & Fernando D. Testai. (2022). Neurological Manifestations of Myocarditis. Current Neurology and Neuroscience Reports. 22(7). 363–374. 1 indexed citations
11.
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
12.
Trifan, Gabriela, et al.. (2020). Acute Stroke as the Presenting Symptom of SARS-CoV-2 Infection in a Young Patient with Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy. Journal of Stroke and Cerebrovascular Diseases. 29(10). 105167–105167. 10 indexed citations
13.
Trifan, Gabriela & Fernando D. Testai. (2020). Systemic Immune-Inflammation (SII) index predicts poor outcome after spontaneous supratentorial intracerebral hemorrhage. Journal of Stroke and Cerebrovascular Diseases. 29(9). 105057–105057. 67 indexed citations
14.
Trifan, Gabriela, et al.. (2019). Neurology of Nutritional Deficiencies. Current Neurology and Neuroscience Reports. 19(12). 101–101. 5 indexed citations
15.
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
16.
Trifan, Gabriela, et al.. (2018). Elevated Serum Troponin Levels Predict Worse Outcome After Intracerebral Hemorrhage (P1.248). Neurology. 90(15_supplement).
17.
Trifan, Gabriela, et al.. (2018). Implications of Janus Kinase 2 Mutation in Embolic Stroke of Unknown Source. Journal of Stroke and Cerebrovascular Diseases. 27(10). 2572–2578. 7 indexed citations
18.
Trifan, Gabriela, et al.. (2017). Intraventricular hemorrhage score and outcome after spontaneous intracerebral hemorrhage (P2.251). Neurology. 88(16_supplement). 1 indexed citations
19.
Trifan, Gabriela, Ramtilak Gattu, E. Mark Haacke, Zhifeng Kou, & Randall R. Benson. (2016). MR imaging findings in mild traumatic brain injury with persistent neurological impairment. Magnetic Resonance Imaging. 37. 243–251. 42 indexed citations
20.
Trifan, Gabriela, et al.. (1996). [LEPTOSPIRA HEBDOMADIS INFECTIONS IN THE GALATI REGION].. PubMed. 8. 45–8.

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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