Bridget E. Hawkins

800 total citations
18 papers, 517 citations indexed

About

Bridget E. Hawkins is a scholar working on Neurology, Epidemiology and Molecular Biology. According to data from OpenAlex, Bridget E. Hawkins has authored 18 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 9 papers in Epidemiology and 6 papers in Molecular Biology. Recurrent topics in Bridget E. Hawkins's work include Traumatic Brain Injury and Neurovascular Disturbances (13 papers), Traumatic Brain Injury Research (8 papers) and Trace Elements in Health (3 papers). Bridget E. Hawkins is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (13 papers), Traumatic Brain Injury Research (8 papers) and Trace Elements in Health (3 papers). Bridget E. Hawkins collaborates with scholars based in United States and United Kingdom. Bridget E. Hawkins's co-authors include Donald S. Prough, Douglas S. DeWitt, Diana L. Castillo‐Carranza, Rakez Kayed, Urmi Sengupta, George R. Jackson, Shashirekha Krishnamurthy, Helen L. Hellmich, Margaret A. Parsley and Julia E. Gerson and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Bridget E. Hawkins

17 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bridget E. Hawkins United States 13 264 185 172 97 74 18 517
Ken C. Van United States 13 225 0.9× 136 0.7× 248 1.4× 63 0.6× 134 1.8× 14 536
Kelly Smith United States 11 183 0.7× 197 1.1× 177 1.0× 76 0.8× 78 1.1× 13 537
Aaron Dadas United States 6 215 0.8× 149 0.8× 137 0.8× 41 0.4× 63 0.9× 7 391
Rajaneesh K. Gupta India 12 152 0.6× 100 0.5× 240 1.4× 67 0.7× 92 1.2× 19 540
Dan Martinez United States 4 240 0.9× 173 0.9× 159 0.9× 197 2.0× 104 1.4× 7 474
Amber Nolan United States 14 236 0.9× 109 0.6× 166 1.0× 251 2.6× 68 0.9× 31 727
Huiling Tang China 11 137 0.5× 90 0.5× 198 1.2× 36 0.4× 41 0.6× 17 530
Dianxu Yang China 15 224 0.8× 84 0.5× 202 1.2× 57 0.6× 80 1.1× 26 566
Yichao Jin China 15 212 0.8× 129 0.7× 182 1.1× 54 0.6× 54 0.7× 39 557
Ying Deng‐Bryant United States 14 425 1.6× 248 1.3× 282 1.6× 95 1.0× 77 1.0× 25 706

Countries citing papers authored by Bridget E. Hawkins

Since Specialization
Citations

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

Fields of papers citing papers by Bridget E. Hawkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bridget E. Hawkins

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

All Works

18 of 18 papers shown
1.
Huie, J. Russell, Jessica L. Nielson, Clark R. Andersen, et al.. (2023). Data-driven approach to integrating genomic and behavioral preclinical traumatic brain injury research. Frontiers in Bioengineering and Biotechnology. 10. 887898–887898.
2.
Chou, Austin, Abel Torres‐Espín, J. Russell Huie, et al.. (2022). Empowering Data Sharing and Analytics through the Open Data Commons for Traumatic Brain Injury Research. SHILAP Revista de lepidopterología. 3(1). 139–157. 13 indexed citations
3.
Shavkunov, Alexander S., Bridget E. Hawkins, Ping Wu, et al.. (2021). Traumatic brain injury induces region-specific glutamate metabolism changes as measured by multiple mass spectrometry methods. iScience. 24(10). 103108–103108. 25 indexed citations
4.
Andersen, Clark R., et al.. (2020). Accelerated Failure Time Survival Model to Analyze Morris Water Maze Latency Data. Journal of Neurotrauma. 38(4). 435–445. 12 indexed citations
5.
Zeng, Yaping, et al.. (2019). Effects of Blast-induced Neurotrauma on Pressurized Rodent Middle Cerebral Arteries. Journal of Visualized Experiments. 7 indexed citations
6.
Hawkins, Bridget E., et al.. (2019). Data Dissemination: Shortening the Long Tail of Traumatic Brain Injury Dark Data. Journal of Neurotrauma. 37(22). 2414–2423. 13 indexed citations
7.
Zeng, Yaping, Donald J. Deyo, Margaret A. Parsley, et al.. (2017). Effects of Mild Blast Traumatic Brain Injury on Cerebral Vascular, Histopathological, and Behavioral Outcomes in Rats. Journal of Neurotrauma. 35(2). 375–392. 49 indexed citations
8.
Gerson, Julia E., Diana L. Castillo‐Carranza, Urmi Sengupta, et al.. (2016). Tau Oligomers Derived from Traumatic Brain Injury Cause Cognitive Impairment and Accelerate Onset of Pathology in Htau Mice. Journal of Neurotrauma. 33(22). 2034–2043. 68 indexed citations
9.
Patel, Jay P., Jason Herring, Jacob A. Theruvathu, et al.. (2015). Measurement of Postreplicative DNA Metabolism and Damage in the Rodent Brain. Chemical Research in Toxicology. 28(12). 2352–2363. 7 indexed citations
10.
Hawkins, Bridget E., Shashirekha Krishnamurthy, Diana L. Castillo‐Carranza, et al.. (2013). Rapid Accumulation of Endogenous Tau Oligomers in a Rat Model of Traumatic Brain Injury. Journal of Biological Chemistry. 288(23). 17042–17050. 118 indexed citations
11.
Hawkins, Bridget E., Babu P. Mathew, Margaret A. Parsley, et al.. (2013). Traumatic Brain Injury In Vivo and In Vitro Contributes to Cerebral Vascular Dysfunction through Impaired Gap Junction Communication between Vascular Smooth Muscle Cells. Journal of Neurotrauma. 31(8). 739–748. 17 indexed citations
12.
Hawkins, Bridget E., et al.. (2012). Effects of trauma, hemorrhage and resuscitation in aged rats. Brain Research. 1496. 28–35. 13 indexed citations
13.
Rojo, Daniel R., Donald S. Prough, Michael T. Falduto, et al.. (2011). Influence of Stochastic Gene Expression on the Cell Survival Rheostat after Traumatic Brain Injury. PLoS ONE. 6(8). e23111–e23111. 32 indexed citations
14.
Hawkins, Bridget E., Christopher J. Frederickson, Douglas S. DeWitt, & Donald S. Prough. (2011). Fluorophilia: Fluorophore-containing compounds adhere non-specifically to injured neurons. Brain Research. 1432. 28–35. 8 indexed citations
15.
Sell, Stacy L., et al.. (2011). Cerebrovascular Connexin Expression: Effects of Traumatic Brain Injury. Journal of Neurotrauma. 28(9). 1803–1811. 16 indexed citations
16.
Li, Yuan, Bridget E. Hawkins, Douglas S. DeWitt, Donald S. Prough, & Wolfgang Maret. (2010). The relationship between transient zinc ion fluctuations and redox signaling in the pathways of secondary cellular injury: Relevance to traumatic brain injury. Brain Research. 1330. 131–141. 30 indexed citations
17.
Watson, Cheryl S., et al.. (2006). Estradiol effects on the dopamine transporter – protein levels, subcellular location, and function. PubMed. 1. 5–5. 45 indexed citations
18.
Hellmich, Helen L., et al.. (2006). Injured Fluoro-Jade-positive hippocampal neurons contain high levels of zinc after traumatic brain injury. Brain Research. 1127(1). 119–126. 44 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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