Jul Lea Shamy

445 total citations
8 papers, 344 citations indexed

About

Jul Lea Shamy is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jul Lea Shamy has authored 8 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Cognitive Neuroscience and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jul Lea Shamy's work include Neuroscience and Neuropharmacology Research (6 papers), Memory and Neural Mechanisms (4 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). Jul Lea Shamy is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Memory and Neural Mechanisms (4 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). Jul Lea Shamy collaborates with scholars based in United States, France and Türkiye. Jul Lea Shamy's co-authors include Peter R. Rapp, Carol A. Barnes, David G. Amaral, Michael H. Buonocore, Kewei Chen, William E. Skaggs, Gene E. Alexander, Tricia L. Merkley, Michelangelo Buonocore and Victoria Arango and has published in prestigious journals such as Journal of Neuroscience, The Journal of Comparative Neurology and Cerebral Cortex.

In The Last Decade

Jul Lea Shamy

8 papers receiving 343 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jul Lea Shamy United States	8	172	117	74	69	56	8	344
Sarah Hunt Australia	8	162 0.9×	139 1.2×	67 0.9×	29 0.4×	59 1.1×	13	407
Tomofumi Oga Japan	12	273 1.6×	180 1.5×	41 0.6×	37 0.5×	62 1.1×	15	529
Marija Markicevic Switzerland	9	408 2.4×	209 1.8×	73 1.0×	68 1.0×	30 0.5×	16	635
Ilaria Carta United States	4	164 1.0×	134 1.1×	35 0.5×	167 2.4×	26 0.5×	8	415
Paweł Kreczmański Netherlands	8	131 0.8×	91 0.8×	79 1.1×	41 0.6×	31 0.6×	8	367
Cecilia González Campo Argentina	11	172 1.0×	64 0.5×	23 0.3×	35 0.5×	47 0.8×	16	335
Manavu Tohmi Japan	12	246 1.4×	287 2.5×	41 0.6×	52 0.8×	30 0.5×	17	607
Amanda L. Schott United States	3	193 1.1×	145 1.2×	35 0.5×	166 2.4×	25 0.4×	4	415
Puay San Woon Singapore	9	209 1.2×	100 0.9×	154 2.1×	40 0.6×	39 0.7×	9	575
Sarah R. Rudebeck United Kingdom	10	322 1.9×	145 1.2×	78 1.1×	31 0.4×	19 0.3×	13	470

Countries citing papers authored by Jul Lea Shamy

Since Specialization

Citations

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

Fields of papers citing papers by Jul Lea Shamy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jul Lea Shamy. 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 Jul Lea Shamy. The network helps show where Jul Lea Shamy may publish in the future.

Co-authorship network of co-authors of Jul Lea Shamy

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

All Works

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8 of 8 papers shown

Froudist‐Walsh, Seán, Philip G. F. Browning, Paula L. Croxson, et al.. (2018). The Rhesus Monkey Hippocampus Critically Contributes to Scene Memory Retrieval, But Not New Learning. Journal of Neuroscience. 38(36). 7800–7808. 14 indexed citations

Wu, Melody V., Jul Lea Shamy, Gillinder Bedi, et al.. (2014). Impact of Social Status and Antidepressant Treatment on Neurogenesis in the Baboon Hippocampus. Neuropsychopharmacology. 39(8). 1861–1871. 60 indexed citations

Balcı, Fuat, Jul Lea Shamy, Bassem F. El‐Khodor, et al.. (2013). High-Throughput Automated Phenotyping of Two Genetic Mouse Models of Huntington's Disease. PLoS Currents. 5. 33 indexed citations

Shamy, Jul Lea, Christian Habeck, P. R. Hof, et al.. (2010). Volumetric Correlates of Spatiotemporal Working and Recognition Memory Impairment in Aged Rhesus Monkeys. Cerebral Cortex. 21(7). 1559–1573. 65 indexed citations

Shamy, Jul Lea, David M. Carpenter, Elisabeth A. Murray, et al.. (2010). Alterations of white matter tracts following neurotoxic hippocampal lesions in macaque monkeys: A diffusion tensor imaging study. Hippocampus. 20(8). 906–910. 26 indexed citations

Alexander, Gene E., Kewei Chen, Tricia L. Merkley, et al.. (2008). Age-Related Regional Network of Magnetic Resonance Imaging Gray Matter in the Rhesus Macaque. Journal of Neuroscience. 28(11). 2710–2718. 75 indexed citations

Shamy, Jul Lea, Cindy A. Buckmaster, David G. Amaral, Michael E. Calhoun, & Peter R. Rapp. (2007). Reactive plasticity in the dentate gyrus following bilateral entorhinal cortex lesions in cynomolgus monkeys. The Journal of Comparative Neurology. 502(2). 192–201. 12 indexed citations

Shamy, Jul Lea, et al.. (2005). Hippocampal volume is preserved and fails to predict recognition memory impairment in aged rhesus monkeys (Macaca mulatta). Neurobiology of Aging. 27(10). 1405–1415. 59 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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