Tara L. Moore

3.6k total citations
98 papers, 2.6k citations indexed

About

Tara L. Moore is a scholar working on Cognitive Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Tara L. Moore has authored 98 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 20 papers in Neurology and 16 papers in Molecular Biology. Recurrent topics in Tara L. Moore's work include Memory and Neural Mechanisms (16 papers), Neuroinflammation and Neurodegeneration Mechanisms (14 papers) and Extracellular vesicles in disease (14 papers). Tara L. Moore is often cited by papers focused on Memory and Neural Mechanisms (16 papers), Neuroinflammation and Neurodegeneration Mechanisms (14 papers) and Extracellular vesicles in disease (14 papers). Tara L. Moore collaborates with scholars based in United States, Canada and United Kingdom. Tara L. Moore's co-authors include Douglas L. Rosene, Ronald Killiany, Mark B. Moss, L.J. Gibson, David J. Kupfer, Robert D. Gibbons, Ellen Frank, James G. Herndon, Maria Medalla and Paul A. Pilkonis and has published in prestigious journals such as Journal of Neuroscience, American Journal of Psychiatry and The Journal of Comparative Neurology.

In The Last Decade

Tara L. Moore

97 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tara L. Moore United States 29 525 479 453 362 297 98 2.6k
George H. Kraft United States 42 416 0.8× 303 0.6× 325 0.7× 544 1.5× 260 0.9× 136 5.4k
Fernanda Tovar‐Moll Brazil 30 1.1k 2.1× 316 0.7× 294 0.6× 293 0.8× 140 0.5× 108 3.3k
Iris‐Katharina Penner Switzerland 35 850 1.6× 251 0.5× 624 1.4× 205 0.6× 113 0.4× 149 5.4k
Dawn Langdon United Kingdom 40 800 1.5× 242 0.5× 619 1.4× 131 0.4× 106 0.4× 138 6.0k
Carsten Finke Germany 34 697 1.3× 441 0.9× 355 0.8× 600 1.7× 65 0.2× 146 4.3k
Shouyan Wang China 33 653 1.2× 319 0.7× 408 0.9× 834 2.3× 571 1.9× 161 3.4k
Yves Lapierre Canada 31 336 0.6× 514 1.1× 278 0.6× 528 1.5× 137 0.5× 58 3.9k
Bernhard Haslinger Germany 31 1.2k 2.2× 213 0.4× 523 1.2× 576 1.6× 119 0.4× 67 3.0k
Roberto Erro Italy 45 967 1.8× 534 1.1× 688 1.5× 1.3k 3.7× 142 0.5× 224 6.1k
Jennifer Linn Germany 43 759 1.4× 377 0.8× 541 1.2× 668 1.8× 386 1.3× 185 6.1k

Countries citing papers authored by Tara L. Moore

Since Specialization
Citations

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

Fields of papers citing papers by Tara L. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tara L. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Tara L. Moore. A scholar is included among the top collaborators of Tara L. Moore 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 Tara L. Moore. Tara L. Moore 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.
2.
Lee, Sun Young, Mikael Klingeborn, Jeff W. M. Bulte, et al.. (2024). A perspective from the National Eye Institute Extracellular Vesicle Workshop: Gaps, needs, and opportunities for studies of extracellular vesicles in vision research. Journal of Extracellular Vesicles. 13(12). e70023–e70023. 6 indexed citations
3.
Xin, Hongqi, et al.. (2023). Mesenchymal-derived extracellular vesicles enhance microglia-mediated synapse remodeling after cortical injury in aging Rhesus monkeys. Journal of Neuroinflammation. 20(1). 201–201. 16 indexed citations
4.
5.
He, Sheng, Tara L. Moore, Jennifer I. Luebke, et al.. (2023). Human-to-monkey transfer learning identifies the frontal white matter as a key determinant for predicting monkey brain age. Frontiers in Aging Neuroscience. 15. 1249415–1249415. 1 indexed citations
6.
Calderazzo, Samantha, Diego de Alba, Monica A. Pessina, et al.. (2022). Neural recovery after cortical injury: Effects of MSC derived extracellular vesicles on motor circuit remodeling in rhesus monkeys. IBRO Neuroscience Reports. 13. 243–254. 7 indexed citations
7.
Cetin‐Karayumak, Suheyla, George N. Papadimitriou, Nikos Makris, et al.. (2022). Investigating the contribution of cytoarchitecture to diffusion MRI measures in gray matter using histology. PubMed. 1. 947526–947526. 2 indexed citations
8.
Moss, Mark B., et al.. (2021). Curcumin improves reversal learning in middle-aged rhesus monkeys.. Behavioral Neuroscience. 136(2). 126–138. 2 indexed citations
9.
10.
Sodhi, Nipun, Tara L. Moore, Rushabh M. Vakharia, et al.. (2019). Fibromyalgia Increases the Risk of Surgical Complications Following Total Knee Arthroplasty: A Nationwide Database Study. The Journal of Arthroplasty. 34(9). 1953–1956. 21 indexed citations
11.
Pessina, Monica A., Zheng Gang Zhang, Michael Chopp, et al.. (2019). Extracellular vesicles from mesenchymal stem cells reduce microglial-mediated neuroinflammation after cortical injury in aged Rhesus monkeys. GeroScience. 42(1). 1–17. 93 indexed citations
12.
Calderazzo, Samantha, Eli Shobin, Monica A. Pessina, et al.. (2019). Cell based therapy reduces secondary damage and increases extent of microglial activation following cortical injury. Brain Research. 1717. 147–159. 10 indexed citations
13.
Kramer, Brian C., Monica A. Pessina, Adrian L. Oblak, et al.. (2018). Cell based therapy enhances activation of ventral premotor cortex to improve recovery following primary motor cortex injury. Experimental Neurology. 305. 13–25. 15 indexed citations
14.
Gibbons, Robert D., David J. Kupfer, Ellen Frank, et al.. (2017). Development of a Computerized Adaptive Test Suicide Scale—The CAT-SS. The Journal of Clinical Psychiatry. 78(9). 1376–1382. 50 indexed citations
15.
Pokines, James T., et al.. (2016). Taphonomic Effects of Mechanical Plowing on Buried Juvenile‐Sized Remains. Journal of Forensic Sciences. 62(1). 67–73. 1 indexed citations
16.
Achtyes, Eric D., Scott B. Halstead, Tara L. Moore, et al.. (2015). Validation of Computerized Adaptive Testing in an Outpatient Nonacademic Setting: The VOCATIONS Trial. Psychiatric Services. 66(10). 1091–1096. 32 indexed citations
17.
Kupfer, David J., Alan F. Schatzberg, Leslie O. Dunn, et al.. (2015). Career Development Institute with Enhanced Mentoring: A Revisit. Academic Psychiatry. 40(3). 424–428. 16 indexed citations
18.
Gibbons, Robert D., David J. Weiss, Paul A. Pilkonis, et al.. (2012). Development of a Computerized Adaptive Test for Depression. Archives of General Psychiatry. 69(11). 1104–1104. 142 indexed citations
19.
Moore, Tara L., Ronald Killiany, Monica A. Pessina, et al.. (2011). Recovery from ischemia in the middle-aged brain: a nonhuman primate model. Neurobiology of Aging. 33(3). 619.e9–619.e24. 25 indexed citations
20.
Moore, Tara L., Ronald Killiany, James G. Herndon, Douglas L. Rosene, & Mark B. Moss. (2005). Executive system dysfunction occurs as early as middle-age in the rhesus monkey. Neurobiology of Aging. 27(10). 1484–1493. 100 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by George H. Kraft Breakdown of academic impact, for papers by Fernanda Tovar‐Moll Breakdown of academic impact, for papers by Iris‐Katharina Penner Breakdown of academic impact, for papers by Dawn Langdon Breakdown of academic impact, for papers by Carsten Finke Breakdown of academic impact, for papers by Shouyan Wang Breakdown of academic impact, for papers by Yves Lapierre Breakdown of academic impact, for papers by Bernhard Haslinger Breakdown of academic impact, for papers by Roberto Erro Breakdown of academic impact, for papers by Jennifer Linn
Rankless by CCL
2026