James Raymick

1.1k total citations
32 papers, 817 citations indexed

About

James Raymick is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, James Raymick has authored 32 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 14 papers in Molecular Biology and 9 papers in Neurology. Recurrent topics in James Raymick's work include Alzheimer's disease research and treatments (15 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Nuclear Receptors and Signaling (6 papers). James Raymick is often cited by papers focused on Alzheimer's disease research and treatments (15 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Nuclear Receptors and Signaling (6 papers). James Raymick collaborates with scholars based in United States and Mexico. James Raymick's co-authors include Sumit Sarkar, Syed Imam, Larry Schmued, Joseph P. Hanig, Merle G. Paule, Elvis Cuevas, Srinivasulu Chigurupati, Bonnie Robinson, Qiang Gu and John F. Bowyer and has published in prestigious journals such as Brain Research, International Journal of Molecular Sciences and Neuroscience.

In The Last Decade

James Raymick

31 papers receiving 807 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Raymick United States 16 306 269 205 150 147 32 817
Brijesh Kumar Singh India 14 470 1.5× 325 1.2× 143 0.7× 203 1.4× 127 0.9× 23 1.1k
Xiansi Zeng China 17 558 1.8× 221 0.8× 228 1.1× 195 1.3× 123 0.8× 34 1.1k
Mojtaba Golpich Malaysia 9 449 1.5× 193 0.7× 153 0.7× 216 1.4× 99 0.7× 11 841
Giulia Ambrosi Italy 17 347 1.1× 175 0.7× 324 1.6× 294 2.0× 124 0.8× 26 941
Elena Cardaioli Italy 16 653 2.1× 200 0.7× 170 0.8× 148 1.0× 92 0.6× 39 1.1k
Xiaohong Zuo China 10 199 0.7× 375 1.4× 147 0.7× 190 1.3× 147 1.0× 15 770
Yuki Kurauchi Japan 21 538 1.8× 177 0.7× 201 1.0× 207 1.4× 196 1.3× 84 1.3k
Helena Xicoy Netherlands 10 453 1.5× 218 0.8× 368 1.8× 295 2.0× 142 1.0× 11 1.1k
Rinat Tabakman Israel 16 288 0.9× 149 0.6× 137 0.7× 233 1.6× 138 0.9× 25 892
Velta Keksa-Goldsteine Finland 17 436 1.4× 449 1.7× 153 0.7× 208 1.4× 240 1.6× 20 1.1k

Countries citing papers authored by James Raymick

Since Specialization
Citations

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

Fields of papers citing papers by James Raymick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Raymick

This figure shows the co-authorship network connecting the top 25 collaborators of James Raymick. A scholar is included among the top collaborators of James Raymick 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 James Raymick. James Raymick 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.
Gokulan, Kuppan, et al.. (2025). Potential link of high fat diet and mRNA expression of Alzheimer's disease-related genes in the enteric mucosa of a rat model of Alzheimer's disease. Journal of Alzheimer s Disease Reports. 9. 4133475022–4133475022.
2.
Raymick, James, et al.. (2022). Evaluation of Styrylbenzene analog- FSB and its affinity to bind parenchymal plaques and tangles in patients of Alzheimer’s disease. Metabolic Brain Disease. 37(3). 639–651. 1 indexed citations
3.
Raymick, James, et al.. (2021). Role of metals in Alzheimer’s disease. Metabolic Brain Disease. 36(7). 1627–1639. 88 indexed citations
4.
Sarkar, Sumit, James Raymick, Elvis Cuevas, Héctor Rosas-Hernández, & Joseph P. Hanig. (2020). Modification of methods to use Congo-red stain to simultaneously visualize amyloid plaques and tangles in human and rodent brain tissue sections. Metabolic Brain Disease. 35(8). 1371–1383. 14 indexed citations
5.
Rosas-Hernández, Héctor, Elvis Cuevas, James Raymick, Bonnie Robinson, & Sumit Sarkar. (2020). Impaired Amyloid Beta Clearance and Brain Microvascular Dysfunction are Present in the Tg-SwDI Mouse Model of Alzheimer’s Disease. Neuroscience. 440. 48–55. 18 indexed citations
6.
7.
Gu, Qiang, Elvis Cuevas, James Raymick, Jyotshna Kanungo, & Sumit Sarkar. (2019). Downregulation of 14-3-3 Proteins in Alzheimer’s Disease. Molecular Neurobiology. 57(1). 32–40. 45 indexed citations
8.
9.
Rosas-Hernández, Héctor, Srinivasulu Chigurupati, James Raymick, et al.. (2018). Identification of altered microRNAs in serum of a mouse model of Parkinson’s disease. Neuroscience Letters. 687. 1–9. 20 indexed citations
10.
Sarkar, Sumit, et al.. (2017). Decreased Mcl-1 protein level in the striatum of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-treated mice. Brain Research. 1678. 432–439. 9 indexed citations
11.
Schmued, Larry & James Raymick. (2016). Introducing Euro-Glo, a rare earth metal chelate with numerous applications for the fluorescent localization of myelin and amyloid plaques in brain tissue sections. Journal of Neuroscience Methods. 279. 79–86. 2 indexed citations
12.
Eitan, Erez, Emmette R. Hutchison, Nigel H. Greig, et al.. (2015). Combination therapy with lenalidomide and nanoceria ameliorates CNS autoimmunity. Experimental Neurology. 273. 151–160. 39 indexed citations
13.
Sarkar, Sumit, B. Gough, James Raymick, et al.. (2015). Histopathological and electrophysiological indices of rotenone-evoked dopaminergic toxicity: Neuroprotective effects of acetyl-l-carnitine. Neuroscience Letters. 606. 53–59. 15 indexed citations
14.
Bowyer, John F., et al.. (2014). Systemic Administration of Fluoro-Gold for the Histological Assessment of Vascular Structure, Integrity and Damage. Current Neurovascular Research. 11(1). 31–47. 9 indexed citations
15.
Zhang, Yihong, et al.. (2014). K114 Inhibits A-beta Aggregation and Inflammation In Vitro and In Vivo in AD/Tg Mice. Current Alzheimer Research. 11(3). 299–308. 4 indexed citations
16.
Schmued, Larry, et al.. (2013). Characterization of Myelin Pathology in the Hippocampal Complex of a Transgenic Mouse Model of Alzheimer’s Disease. Current Alzheimer Research. 10(1). 30–37. 27 indexed citations
17.
Zhang, Yihong, James Raymick, Sumit Sarkar, et al.. (2013). Efficacy and Toxicity of Clioquinol Treatment and A-beta42 Inoculation in the APP/PSI Mouse Model of Alzheimer’s Disease. Current Alzheimer Research. 10(5). 494–506. 30 indexed citations
18.
Sarkar, Sumit, James Raymick, Merle G. Paule, & Larry Schmued. (2013). In situ demonstration of Fluoro-Turquoise conjugated gelatin for visualizing brain vasculature and endothelial cells and their characterization in normal and kainic acid exposed animals. Journal of Neuroscience Methods. 219(2). 276–284. 7 indexed citations
19.
Sarkar, Sumit, James Raymick, & Larry Schmued. (2012). Temporal Progression of Kainic Acid Induced Changes in Vascular Laminin Expression in Rat Brain with Neuronal and Glial Correlates. Current Neurovascular Research. 9(2). 110–119. 7 indexed citations
20.
Schmued, Larry, et al.. (2012). Introducing Amylo-Glo, a novel fluorescent amyloid specific histochemical tracer especially suited for multiple labeling and large scale quantification studies. Journal of Neuroscience Methods. 209(1). 120–126. 27 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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