Megan E. Martin

554 total citations
10 papers, 398 citations indexed

About

Megan E. Martin is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Megan E. Martin has authored 10 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 2 papers in Cognitive Neuroscience. Recurrent topics in Megan E. Martin's work include Molecular Biology Techniques and Applications (2 papers), Action Observation and Synchronization (1 paper) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper). Megan E. Martin is often cited by papers focused on Molecular Biology Techniques and Applications (2 papers), Action Observation and Synchronization (1 paper) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper). Megan E. Martin collaborates with scholars based in United States and Canada. Megan E. Martin's co-authors include Gregory S. Berns, Mukeshwar Dhamala, Caroline F. Zink, Giuseppe Pagnoni, Murali Prakriya, Hiam Abdala‐Valencia, G. R. Scott Budinger, Jelena Radulović, Rogan A. Grant and Gordon M. Shepherd and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Megan E. Martin

10 papers receiving 391 citations

Peers

Megan E. Martin
Ho Namkung United States
Joana Reis Portugal
Sun-Hong Kim United States
Lauren W. Cochran United States
Debha N. Amatya United States
Itay Hadas United States
Natalie Welty United States
Tamara Blutstein United States
Ho Namkung United States
Megan E. Martin
Citations per year, relative to Megan E. Martin Megan E. Martin (= 1×) peers Ho Namkung

Countries citing papers authored by Megan E. Martin

Since Specialization
Citations

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

Fields of papers citing papers by Megan E. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Megan E. Martin. 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 Megan E. Martin. The network helps show where Megan E. Martin may publish in the future.

Co-authorship network of co-authors of Megan E. Martin

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

All Works

10 of 10 papers shown
1.
Barrett, John M., et al.. (2024). Hand–Jaw Coordination as Mice Handle Food Is Organized around Intrinsic Structure–Function Relationships. Journal of Neuroscience. 44(42). e0856242024–e0856242024. 4 indexed citations
2.
Centeno, Maria Virginia, Megan E. Martin, Mohammad Mehdi Maneshi, et al.. (2023). Regulation of neuropathic pain by microglial Orai1 channels. Science Advances. 9(4). eade7002–eade7002. 25 indexed citations
3.
Grant, Rogan A., Megan E. Martin, Hiam Abdala‐Valencia, et al.. (2023). Astrocyte reactivity and inflammation-induced depression-like behaviors are regulated by Orai1 calcium channels. Nature Communications. 14(1). 5500–5500. 62 indexed citations
4.
Corder, Ria D., et al.. (2023). Linear and nonlinear rheology of liberase-treated breast cancer tumors. Biomaterials Science. 11(6). 2186–2199. 2 indexed citations
5.
Barrett, John M., Megan E. Martin, & Gordon M. Shepherd. (2022). Manipulation-specific cortical activity as mice handle food. Current Biology. 32(22). 4842–4853.e6. 7 indexed citations
6.
Barrett, John M., et al.. (2022). Axonal barcode analysis of pyramidal tract projections from mouse forelimb M1 and M2. Journal of Neuroscience. 42(41). JN–RM. 6 indexed citations
7.
Martin, Megan E., Alisha R. Coffey, Gieira S. Jones, et al.. (2019). A functional role for the cancer disparity-linked genes, CRYβB2 and CRYβB2P1, in the promotion of breast cancer. Breast Cancer Research. 21(1). 105–105. 17 indexed citations
8.
Yeyeodu, Susan, et al.. (2019). Experimental data demonstrating the effects of silver nanoparticles on basement membrane gene and protein expression in cultured colon, mammary and bronchial epithelia. SHILAP Revista de lepidopterología. 26. 104464–104464. 4 indexed citations
9.
Martin, Megan E., Jeffrey R. Enders, Lindsey M. Costantini, et al.. (2019). Silver nanoparticles alter epithelial basement membrane integrity, cell adhesion molecule expression, and TGF-β1 secretion. Nanomedicine Nanotechnology Biology and Medicine. 21. 102070–102070. 14 indexed citations
10.
Zink, Caroline F., Giuseppe Pagnoni, Megan E. Martin, Mukeshwar Dhamala, & Gregory S. Berns. (2003). Human Striatal Response to Salient Nonrewarding Stimuli. Journal of Neuroscience. 23(22). 8092–8097. 257 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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