John R. Bringas

2.5k total citations
29 papers, 1.9k citations indexed

About

John R. Bringas is a scholar working on Cellular and Molecular Neuroscience, Neurology and Genetics. According to data from OpenAlex, John R. Bringas has authored 29 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 11 papers in Neurology and 7 papers in Genetics. Recurrent topics in John R. Bringas's work include Virus-based gene therapy research (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers) and Cerebrospinal fluid and hydrocephalus (6 papers). John R. Bringas is often cited by papers focused on Virus-based gene therapy research (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (7 papers) and Cerebrospinal fluid and hydrocephalus (6 papers). John R. Bringas collaborates with scholars based in United States, France and Spain. John R. Bringas's co-authors include Russell J. Andrews, Krystof S. Bankiewicz, John Forsayeth, Lluı́s Samaranch, Mitchel S. Berger, Waldy San Sebastián, Adrian P. Kells, Ryuta Saito, Ernesto A. Salegio and Dmitri B. Kirpotin and has published in prestigious journals such as Cancer Research, Journal of neurosurgery and Science Translational Medicine.

In The Last Decade

John R. Bringas

29 papers receiving 1.9k citations

Peers

John R. Bringas
Anita Hüttner United States
Piotr Hadaczek United States
Michal T. Krauze United States
John R. Bringas United States
Alison Bienemann United Kingdom
Alexander J. Annala United States
Philip H. Schwartz United States
Anita Hüttner United States
John R. Bringas
Citations per year, relative to John R. Bringas John R. Bringas (= 1×) peers Anita Hüttner

Countries citing papers authored by John R. Bringas

Since Specialization
Citations

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

Fields of papers citing papers by John R. Bringas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Bringas. 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 John R. Bringas. The network helps show where John R. Bringas may publish in the future.

Co-authorship network of co-authors of John R. Bringas

This figure shows the co-authorship network connecting the top 25 collaborators of John R. Bringas. A scholar is included among the top collaborators of John R. Bringas 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 John R. Bringas. John R. Bringas 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.
Samaranch, Lluı́s, Vivek Sudhakar, Jerónimo Jurado‐Arjona, et al.. (2019). Adeno-associated viral vector serotype 9–based gene therapy for Niemann-Pick disease type A. Science Translational Medicine. 11(506). 34 indexed citations
2.
Nagahara, Alan H., Bayard Wilson, Iryna Ivasyk, et al.. (2018). MR-guided delivery of AAV2-BDNF into the entorhinal cortex of non-human primates. Gene Therapy. 25(2). 104–114. 43 indexed citations
3.
Ohno, Kousaku, Lluı́s Samaranch, Piotr Hadaczek, et al.. (2018). Kinetics and MR-Based Monitoring of AAV9 Vector Delivery into Cerebrospinal Fluid of Nonhuman Primates. Molecular Therapy — Methods & Clinical Development. 13. 47–54. 44 indexed citations
4.
Stanek, Lisa M., Kousaku Ohno, Lluı́s Samaranch, et al.. (2018). Extensive Transduction and Enhanced Spread of a Modified AAV2 Capsid in the Non-human Primate CNS. Molecular Therapy. 26(10). 2418–2430. 46 indexed citations
5.
Samaranch, Lluı́s, Piotr Hadaczek, Adrian P. Kells, et al.. (2015). Slow AAV2 clearance from the brain of nonhuman primates and anti-capsid immune response. Gene Therapy. 23(4). 393–398. 6 indexed citations
6.
Samaranch, Lluı́s, Waldy San Sebastián, Adrian P. Kells, et al.. (2013). AAV9-mediated Expression of a Non-self Protein in Nonhuman Primate Central Nervous System Triggers Widespread Neuroinflammation Driven by Antigen-presenting Cell Transduction. Molecular Therapy. 22(2). 329–337. 121 indexed citations
7.
Samaranch, Lluı́s, Ernesto A. Salegio, Waldy San Sebastián, et al.. (2013). Strong Cortical and Spinal Cord Transduction After AAV7 and AAV9 Delivery into the Cerebrospinal Fluid of Nonhuman Primates. Human Gene Therapy. 24(5). 526–532. 120 indexed citations
8.
Richardson, R. Mark, Adrian P. Kells, Alastair J. Martin, et al.. (2011). Novel Platform for MRI-Guided Convection-Enhanced Delivery of Therapeutics: Preclinical Validation in Nonhuman Primate Brain. Stereotactic and Functional Neurosurgery. 89(3). 141–151. 77 indexed citations
9.
Liu, Ying, et al.. (2010). Ultrasound-Enhanced Drug Transport and Distribution in the Brain. AAPS PharmSciTech. 11(3). 1005–1017. 39 indexed citations
10.
Dickinson, Peter J., Richard A. LeCouteur, Robert Higgins, et al.. (2010). Canine spontaneous glioma: A translational model system for convection-enhanced delivery. Neuro-Oncology. 12(9). 928–940. 75 indexed citations
11.
Grahn, Amy, Krystof S. Bankiewicz, Millicent M. Dugich‐Djordjevic, et al.. (2009). Non-PEGylated liposomes for convection-enhanced delivery of topotecan and gadodiamide in malignant glioma: initial experience. Journal of Neuro-Oncology. 95(2). 185–197. 39 indexed citations
12.
Saito, Ryuta, Michal T. Krauze, John R. Bringas, et al.. (2005). Gadolinium-loaded liposomes allow for real-time magnetic resonance imaging of convection-enhanced delivery in the primate brain. Experimental Neurology. 196(2). 381–389. 120 indexed citations
13.
Krauze, Michal T., Ryuta Saito, Charles O. Noble, et al.. (2005). Effects of the perivascular space on convection-enhanced delivery of liposomes in primate putamen. Experimental Neurology. 196(1). 104–111. 62 indexed citations
14.
Mamot, Christoph, John Nguyen, Michael Pourdehnad, et al.. (2004). Extensive Distribution of Liposomes in Rodent Brains and Brain Tumors Following Convection-Enhanced Delivery. Journal of Neuro-Oncology. 68(1). 1–9. 110 indexed citations
15.
Saito, Ryuta, John R. Bringas, Tracy R. McKnight, et al.. (2004). Distribution of Liposomes into Brain and Rat Brain Tumor Models by Convection-Enhanced Delivery Monitored with Magnetic Resonance Imaging. Cancer Research. 64(7). 2572–2579. 185 indexed citations
17.
Andrews, Russell J. & John R. Bringas. (1994). A Review of Brain Retraction and Recommendations for Minimizing Intraoperative Brain Injury. Neurosurgery. 35(1). 172–173. 7 indexed citations
18.
Andrews, Russell J., et al.. (1993). Effects of mannitol on cerebral blood flow, blood pressure, blood viscosity, hematocrit, sodium, and potassium. Surgical Neurology. 39(3). 218–222. 54 indexed citations
19.
Andrews, Russell J., et al.. (1993). Corpus callosotomy effects on cerebral blood flow and evoked potentials (transcallosal diaschisis). Neuroscience Letters. 154(1-2). 9–12. 22 indexed citations
20.
Andrews, Russell J. & John R. Bringas. (1993). A Review of Brain Retraction and Recommendations for Minimizing Intraoperative Brain Injury. Neurosurgery. 33(6). 1052–1064. 187 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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