Casey Burton

931 total citations
28 papers, 714 citations indexed

About

Casey Burton is a scholar working on Molecular Biology, Neurology and Clinical Biochemistry. According to data from OpenAlex, Casey Burton has authored 28 papers receiving a total of 714 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Neurology and 7 papers in Clinical Biochemistry. Recurrent topics in Casey Burton's work include Metabolism and Genetic Disorders (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Casey Burton is often cited by papers focused on Metabolism and Genetic Disorders (7 papers), Traumatic Brain Injury and Neurovascular Disturbances (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Casey Burton collaborates with scholars based in United States, China and Australia. Casey Burton's co-authors include Yinfa Ma, Honglan Shi, Donald James, Sudhanshu P. Raikwar, Smita Zaheer, Govindhasamy Pushpavathi Selvakumar, Shankar S. Iyer, Ramasamy Thangavel, Asgar Zaheer and Duraisamy Kempuraj and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and Analytica Chimica Acta.

In The Last Decade

Casey Burton

28 papers receiving 702 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Casey Burton United States 15 250 191 97 79 59 28 714
Shuyan Qie China 11 276 1.1× 185 1.0× 250 2.6× 171 2.2× 75 1.3× 38 964
Damir Janigro United States 14 217 0.9× 273 1.4× 38 0.4× 101 1.3× 24 0.4× 17 668
М. М. Петрова Russia 16 256 1.0× 59 0.3× 32 0.3× 112 1.4× 24 0.4× 166 1.1k
Jean‐Marc Trocello France 20 67 0.3× 296 1.5× 31 0.3× 127 1.6× 24 0.4× 44 1.1k
Michael Jarvis United States 15 210 0.8× 55 0.3× 38 0.4× 124 1.6× 29 0.5× 37 896
Jieyu Chen China 15 306 1.2× 55 0.3× 10 0.1× 131 1.7× 78 1.3× 56 865
Cecília Rajda Hungary 20 172 0.7× 95 0.5× 14 0.1× 108 1.4× 59 1.0× 52 919
Bin Zhu China 15 141 0.6× 52 0.3× 75 0.8× 33 0.4× 35 0.6× 67 699

Countries citing papers authored by Casey Burton

Since Specialization
Citations

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

Fields of papers citing papers by Casey Burton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Casey Burton

This figure shows the co-authorship network connecting the top 25 collaborators of Casey Burton. A scholar is included among the top collaborators of Casey Burton 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 Casey Burton. Casey Burton 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.
Hickey, Emily, et al.. (2023). Using the Three-Minute Speech Sample to Examine the Parent-Adolescent Relationship in Autistic Youth: A Qualitative Analysis. Journal of Autism and Developmental Disorders. 54(6). 2274–2285. 2 indexed citations
2.
Housten, Ashley J., Graham A. Colditz, X. Cynthia, et al.. (2022). Adapting and Developing an Academic and Community Practice Collaborative Care Model for Metastatic Breast Cancer Care (Project ADAPT): Protocol for an Implementation Science–Based Study. JMIR Research Protocols. 11(7). e35736–e35736. 2 indexed citations
3.
Rasmussen, Lindsey, et al.. (2022). Establishing pteridine metabolism in a progressive isogenic breast cancer cell model – part II. Metabolomics. 18(5). 27–27. 2 indexed citations
4.
Rasmussen, Lindsey, et al.. (2021). Establishing pteridine metabolism in a progressive isogenic breast cancer cell model. Metabolomics. 18(1). 2–2. 3 indexed citations
5.
Ahmed, Mohammad Ejaz, Govindhasamy Pushpavathi Selvakumar, Duraisamy Kempuraj, et al.. (2020). Glia Maturation Factor (GMF) Regulates Microglial Expression Phenotypes and the Associated Neurological Deficits in a Mouse Model of Traumatic Brain Injury. Molecular Neurobiology. 57(11). 4438–4450. 12 indexed citations
7.
Kempuraj, Duraisamy, Mohammad Ejaz Ahmed, Govindhasamy Pushpavathi Selvakumar, et al.. (2020). Psychological Stress–Induced Immune Response and Risk of Alzheimer's Disease in Veterans from Operation Enduring Freedom and Operation Iraqi Freedom. Clinical Therapeutics. 42(6). 974–982. 19 indexed citations
8.
Kempuraj, Duraisamy, Mohammad Ejaz Ahmed, Govindhasamy Pushpavathi Selvakumar, et al.. (2020). Acute Traumatic Brain Injury-Induced Neuroinflammatory Response and Neurovascular Disorders in the Brain. Neurotoxicity Research. 39(2). 359–368. 33 indexed citations
9.
Ahmed, Mohammad Ejaz, Govindhasamy Pushpavathi Selvakumar, Duraisamy Kempuraj, et al.. (2020). Neuroinflammation Mediated by Glia Maturation Factor Exacerbates Neuronal Injury in an in vitro Model of Traumatic Brain Injury. Journal of Neurotrauma. 37(14). 1645–1655. 11 indexed citations
10.
Kempuraj, Duraisamy, Govindhasamy Pushpavathi Selvakumar, Mohammad Ejaz Ahmed, et al.. (2020). COVID-19, Mast Cells, Cytokine Storm, Psychological Stress, and Neuroinflammation. The Neuroscientist. 26(5-6). 402–414. 215 indexed citations
11.
Burton, Casey & Yinfa Ma. (2017). The role of urinary pteridines as disease biomarkers. Pteridines. 28(1). 1–21. 7 indexed citations
12.
Burton, Casey, Honglan Shi, & Yinfa Ma. (2016). Development of a high-performance liquid chromatography – Tandem mass spectrometry urinary pterinomics workflow. Analytica Chimica Acta. 927. 72–81. 15 indexed citations
13.
Weng, Rui, Sensen Shen, Casey Burton, et al.. (2016). Lipidomic profiling of tryptophan hydroxylase 2 knockout mice reveals novel lipid biomarkers associated with serotonin deficiency. Analytical and Bioanalytical Chemistry. 408(11). 2963–2973. 27 indexed citations
14.
Burton, Casey, Honglan Shi, & Yinfa Ma. (2016). Daily variation and effect of dietary folate on urinary pteridines. Metabolomics. 12(5). 10 indexed citations
15.
Burton, Casey, Yongbo Dan, Ariel R. Donovan, et al.. (2015). Urinary metallomics as a novel biomarker discovery platform: Breast cancer as a case study. Clinica Chimica Acta. 452. 142–148. 43 indexed citations
16.
Weng, Rui, Sensen Shen, Yonglu Tian, et al.. (2015). Metabolomics Approach Reveals Integrated Metabolic Network Associated with Serotonin Deficiency. Scientific Reports. 5(1). 11864–11864. 47 indexed citations
18.
Burton, Casey, Honglan Shi, & Yinfa Ma. (2014). Normalization of urinary pteridines by urine specific gravity for early cancer detection. Clinica Chimica Acta. 435. 42–47. 29 indexed citations
19.
Burton, Casey, et al.. (2014). High-throughput intracellular pteridinic profiling by liquid chromatography–quadrupole time-of-flight mass spectrometry. Analytica Chimica Acta. 853. 442–450. 10 indexed citations
20.
Burton, Casey, Sanjeewa Gamagedara, & Yinfa Ma. (2013). Partial enzymatic elimination and quantification of sarcosine from alanine using liquid chromatography–tandem mass spectrometry. Analytical and Bioanalytical Chemistry. 405(10). 3153–3158. 11 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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