Bryan E. Figueroa

857 total citations
17 papers, 645 citations indexed

About

Bryan E. Figueroa is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Bryan E. Figueroa has authored 17 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 5 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Bryan E. Figueroa's work include Traumatic Brain Injury and Neurovascular Disturbances (6 papers), Mitochondrial Function and Pathology (5 papers) and Neurosurgical Procedures and Complications (3 papers). Bryan E. Figueroa is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (6 papers), Mitochondrial Function and Pathology (5 papers) and Neurosurgical Procedures and Complications (3 papers). Bryan E. Figueroa collaborates with scholars based in United States, India and Canada. Bryan E. Figueroa's co-authors include Robert M. Friedlander, Shan Zhu, Irina G. Stavrovskaya, Bruce S. Kristal, Paul E. McKeever, Douglas J. Quint, William F. Chandler, Xin Wang, Karen J. McAllen and Wayne Vanderkolk and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Bryan E. Figueroa

16 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bryan E. Figueroa United States 12 279 208 185 144 71 17 645
Laurent Chazalviel France 12 131 0.5× 152 0.7× 115 0.6× 97 0.7× 62 0.9× 25 685
Jerry Flores United States 20 297 1.1× 346 1.7× 154 0.8× 121 0.8× 64 0.9× 39 991
Yihao Tao China 19 466 1.7× 307 1.5× 217 1.2× 130 0.9× 54 0.8× 39 998
Christopher C. Leonardo United States 17 165 0.6× 292 1.4× 91 0.5× 133 0.9× 68 1.0× 25 902
Shuang-Shuang Dai China 19 172 0.6× 432 2.1× 132 0.7× 109 0.8× 72 1.0× 35 1.0k
Shenglong Cao China 19 521 1.9× 404 1.9× 94 0.5× 227 1.6× 86 1.2× 27 1.1k
Damon Klebe United States 21 566 2.0× 349 1.7× 246 1.3× 165 1.1× 56 0.8× 36 1.3k
Shigeki Mikawa Japan 14 335 1.2× 258 1.2× 123 0.7× 122 0.8× 99 1.4× 22 696
Wanchun You China 17 374 1.3× 338 1.6× 54 0.3× 92 0.6× 66 0.9× 54 874
Junjia Tang China 13 259 0.9× 335 1.6× 82 0.4× 162 1.1× 61 0.9× 16 792

Countries citing papers authored by Bryan E. Figueroa

Since Specialization
Citations

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

Fields of papers citing papers by Bryan E. Figueroa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan E. Figueroa. 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 Bryan E. Figueroa. The network helps show where Bryan E. Figueroa may publish in the future.

Co-authorship network of co-authors of Bryan E. Figueroa

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

All Works

17 of 17 papers shown
1.
Dowlati, Ehsan, et al.. (2024). Complete meningioma resolution following endovascular embolization of chronic subdural hematoma. Journal of NeuroInterventional Surgery. 17(7). 782–784. 1 indexed citations
2.
Schwartz, Kenneth A., Mary Noel, L. Karl Olson, et al.. (2022). Long Term Survivals in Aggressive Primary Brain Malignancies Treated With an Adjuvant Ketogenic Diet. Frontiers in Nutrition. 9. 770796–770796. 8 indexed citations
3.
Figueroa, Bryan E., et al.. (2020). Collision Tumor in the Pituitary, Concurrent Pituitary Adenoma, and Craniopharyngioma. SHILAP Revista de lepidopterología. 2020. 1–5. 4 indexed citations
4.
Schwartz, Kenneth A., et al.. (2019). ACTR-22. INITIAL TREATMENT OF GBM WITH A KETOGENIC DIET ALONG WITH RADIATION AND CHEMOTHERAPY: CLINICAL OUTCOMES. Neuro-Oncology. 21(Supplement_6). vi17–vi17.
5.
Figueroa, Bryan E., et al.. (2015). An Elongated Pituitary Stalk Resembling the Lining of a Dermoid Cyst during Endoscopic Endonasal Approach. Otolaryngology. 153(1). 150–151. 3 indexed citations
6.
Barletta, Jeffrey F., et al.. (2013). High glucose variability increases cerebral infarction in patients with spontaneous subarachnoid hemorrhage. Journal of Critical Care. 28(5). 798–803. 16 indexed citations
7.
Eriksson, Evert A., Jeffrey F. Barletta, Bryan E. Figueroa, et al.. (2012). The first 72 hours of brain tissue oxygenation predicts patient survival with traumatic brain injury. The Journal of Trauma: Injury, Infection, and Critical Care. 72(5). 1345–1349. 26 indexed citations
8.
Pellegrini, Daniela, et al.. (2012). Goal Directed Brain Tissue Oxygen Monitoring Versus Conventional Management in Traumatic Brain Injury: An Analysis of In Hospital Recovery. Neurocritical Care. 18(1). 20–25. 30 indexed citations
9.
McAllen, Karen J., et al.. (2012). Retrospective Evaluation of Nicardipine Versus Labetalol for Blood Pressure Control in Aneurysmal Subarachnoid Hemorrhage. Neurocritical Care. 16(3). 376–380. 15 indexed citations
10.
Eriksson, Evert A., Jeffrey F. Barletta, Bryan E. Figueroa, et al.. (2011). Cerebral perfusion pressure and intracranial pressure are not surrogates for brain tissue oxygenation in traumatic brain injury. Clinical Neurophysiology. 123(6). 1255–1260. 35 indexed citations
11.
Graham, Rona K., Mahmoud A. Pouladi, Prasad Joshi, et al.. (2009). Differential Susceptibility to Excitotoxic Stress in YAC128 Mouse Models of Huntington Disease between Initiation and Progression of Disease. Journal of Neuroscience. 29(7). 2193–2204. 98 indexed citations
12.
Wang, Xin, Bryan E. Figueroa, Irina G. Stavrovskaya, et al.. (2009). Methazolamide and Melatonin Inhibit Mitochondrial Cytochrome C Release and Are Neuroprotective in Experimental Models of Ischemic Injury. Stroke. 40(5). 1877–1885. 127 indexed citations
13.
Wang, Xin, Hongyan Wang, Bryan E. Figueroa, et al.. (2005). Dysregulation of Receptor Interacting Protein-2 and Caspase Recruitment Domain Only Protein Mediates Aberrant Caspase-1 Activation in Huntington's Disease. Journal of Neuroscience. 25(50). 11645–11654. 44 indexed citations
14.
Zhu, Shan, Mingwei Li, Bryan E. Figueroa, et al.. (2004). Prophylactic Creatine Administration Mediates Neuroprotection in Cerebral Ischemia in Mice. Journal of Neuroscience. 24(26). 5909–5912. 95 indexed citations
15.
Figueroa, Bryan E., Jennifer R. Brown, Alessandra F. Nascimento, David C. Fisher, & Sagun Tuli. (2004). Unusual Sites of Hodgkin's Lymphoma. Journal of Clinical Oncology. 22(20). 4228–4230. 22 indexed citations
16.
Figueroa, Bryan E., Douglas J. Quint, Paul E. McKeever, & William F. Chandler. (1999). Extracranial metastatic meningioma.. British Journal of Radiology. 72(857). 513–516. 67 indexed citations
17.
Figueroa, Bryan E., Richard F. Keep, A. Lorris Betz, & Julian T. Hoff. (1998). Plasminogen Activators Potentiate Thrombin-Induced Brain Injury. Stroke. 29(6). 1202–1208. 54 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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