James L. Searcy

980 total citations
16 papers, 808 citations indexed

About

James L. Searcy is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, James L. Searcy has authored 16 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Neurology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in James L. Searcy's work include Neurological Disease Mechanisms and Treatments (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Alzheimer's disease research and treatments (3 papers). James L. Searcy is often cited by papers focused on Neurological Disease Mechanisms and Treatments (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Alzheimer's disease research and treatments (3 papers). James L. Searcy collaborates with scholars based in United Kingdom, United States and Japan. James L. Searcy's co-authors include Olivier Thibault, Nada M. Porter, Eric M. Blalock, Philip W. Landfield, Jelena Popović, Karen Horsburgh, Lawrence D. Brewer, Caitlin S. Latimer, Tristano Pancani and Kuey-Chu Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

James L. Searcy

16 papers receiving 802 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 L. Searcy United Kingdom 13 288 254 240 124 111 16 808
Candice E. Van Skike United States 20 364 1.3× 299 1.2× 267 1.1× 78 0.6× 328 3.0× 29 1.0k
Caitlin S. Latimer United States 20 515 1.8× 360 1.4× 353 1.5× 147 1.2× 173 1.6× 71 1.4k
Ádám Institóris Hungary 18 260 0.9× 344 1.4× 257 1.1× 49 0.4× 252 2.3× 25 891
İrem L. Atasoy Türkiye 9 253 0.9× 152 0.6× 155 0.6× 101 0.8× 110 1.0× 13 576
Irene Sánchez-Vera Spain 9 103 0.4× 294 1.2× 210 0.9× 138 1.1× 296 2.7× 9 914
Susan D. Craddock United States 11 313 1.1× 210 0.8× 434 1.8× 76 0.6× 324 2.9× 14 933
E‐Jian Lee Taiwan 12 171 0.6× 238 0.9× 166 0.7× 34 0.3× 108 1.0× 20 790
Berrak Çağlayan Türkiye 13 126 0.4× 174 0.7× 270 1.1× 48 0.4× 119 1.1× 23 771
Yee‐Kong Ng Singapore 19 216 0.8× 287 1.1× 550 2.3× 71 0.6× 249 2.2× 29 1.3k
Paloma Carrero Spain 12 181 0.6× 356 1.4× 223 0.9× 83 0.7× 224 2.0× 12 1.0k

Countries citing papers authored by James L. Searcy

Since Specialization
Citations

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

Fields of papers citing papers by James L. Searcy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James L. Searcy

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

All Works

16 of 16 papers shown
1.
Kitamura, Akihiro, Yasmina Manso, Jessica Duncombe, et al.. (2017). Long-term cilostazol treatment reduces gliovascular damage and memory impairment in a mouse model of chronic cerebral hypoperfusion. Scientific Reports. 7(1). 4299–4299. 37 indexed citations
2.
Manso, Yasmina, Philip R. Holland, Akihiro Kitamura, et al.. (2017). Minocycline reduces microgliosis and improves subcortical white matter function in a model of cerebral vascular disease. Glia. 66(1). 34–46. 39 indexed citations
3.
Salvadores, Natalia, James L. Searcy, Philip R. Holland, & Karen Horsburgh. (2017). Chronic cerebral hypoperfusion alters amyloid-β peptide pools leading to cerebral amyloid angiopathy, microinfarcts and haemorrhages in Tg-SwDI mice. Clinical Science. 131(16). 2109–2123. 30 indexed citations
4.
Holland, Philip R., James L. Searcy, Natalia Salvadores, et al.. (2015). Gliovascular Disruption and Cognitive Deficits in a Mouse Model with Features of Small Vessel Disease. Journal of Cerebral Blood Flow & Metabolism. 35(6). 1005–1014. 79 indexed citations
5.
Latimer, Caitlin S., Lawrence D. Brewer, James L. Searcy, et al.. (2014). Vitamin D prevents cognitive decline and enhances hippocampal synaptic function in aging rats. Proceedings of the National Academy of Sciences. 111(41). E4359–66. 178 indexed citations
6.
Searcy, James L., Thierry Le Bihan, Natalia Salvadores, James McCulloch, & Karen Horsburgh. (2014). Impact of Age on the Cerebrovascular Proteomes of Wild-Type and Tg-SwDI Mice. PLoS ONE. 9(2). e89970–e89970. 19 indexed citations
7.
Herrmann, Abigail G., Ruth F. Deighton, Thierry Le Bihan, et al.. (2013). Adaptive Changes in the Neuronal Proteome: Mitochondrial Energy Production, Endoplasmic Reticulum Stress, and Ribosomal Dysfunction in the Cellular Response to Metabolic Stress. Journal of Cerebral Blood Flow & Metabolism. 33(5). 673–683. 37 indexed citations
8.
Herrmann, Abigail G., James L. Searcy, Thierry Le Bihan, James McCulloch, & Ruth F. Deighton. (2013). Total variance should drive data handling strategies in third generation proteomic studies. PROTEOMICS. 13(22). 3251–3255. 10 indexed citations
9.
Searcy, James L., Tristano Pancani, Inga Kadish, et al.. (2012). Long-Term Pioglitazone Treatment Improves Learning and Attenuates Pathological Markers in a Mouse Model of Alzheimer's Disease. Journal of Alzheimer s Disease. 30(4). 943–961. 131 indexed citations
10.
Herrmann, Annkatrin, J.Y. Ooi, Séverine Launay, et al.. (2011). Proteomic data in meningiomas: post-proteomic analysis can reveal novel pathophysiological pathways. Journal of Neuro-Oncology. 104(2). 401–410. 8 indexed citations
11.
Latimer, Caitlin S., James L. Searcy, Lawrence D. Brewer, et al.. (2011). Reversal of Glial and Neurovascular Markers of Unhealthy Brain Aging by Exercise in Middle-Aged Female Mice. PLoS ONE. 6(10). e26812–e26812. 68 indexed citations
12.
Buechel, Heather M., et al.. (2011). Deep Sleep and Parietal Cortex Gene Expression Changes Are Related to Cognitive Deficits with Age. PLoS ONE. 6(4). e18387–e18387. 22 indexed citations
13.
James, Rachel, James L. Searcy, Thierry Le Bihan, et al.. (2011). Proteomic Analysis of Mitochondria in APOE Transgenic Mice and in Response to an Ischemic Challenge. Journal of Cerebral Blood Flow & Metabolism. 32(1). 164–176. 42 indexed citations
14.
Blalock, Eric M., Tristano Pancani, James L. Searcy, et al.. (2010). Effects of Long-Term Pioglitazone Treatment on Peripheral and Central Markers of Aging. PLoS ONE. 5(4). e10405–e10405. 36 indexed citations
15.
Pancani, Tristano, et al.. (2009). Distinct modulation of voltage‐gated and ligand‐gated Ca2+ currents by PPAR‐γ agonists in cultured hippocampal neurons. Journal of Neurochemistry. 109(6). 1800–1811. 71 indexed citations
16.
Searcy, James L.. (2009). LIPID SIGNALING IN BRAIN AGING AND ALZHEIMER'S DISEASE: PHARMACOLOGICALLY TARGETING CHOLESTEROL SYNTHESIS, TRANSPORT AND METABOLISM. UKnowledge (University of Kentucky). 1 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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