Mimi A. Trinh

2.4k total citations · 2 hit papers
7 papers, 1.9k citations indexed

About

Mimi A. Trinh is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Mimi A. Trinh has authored 7 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Cell Biology. Recurrent topics in Mimi A. Trinh's work include Neuroscience and Neuropharmacology Research (4 papers), RNA regulation and disease (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Mimi A. Trinh is often cited by papers focused on Neuroscience and Neuropharmacology Research (4 papers), RNA regulation and disease (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Mimi A. Trinh collaborates with scholars based in United States, France and India. Mimi A. Trinh's co-authors include Kenneth J. O’Riordan, Jonathan M. Levenson, Karen Brown, J. David Sweatt, David L. Molfese, Eric Klann, Douglas R. Cavener, Philippe Pierre, Tao Ma and Evelina Gatti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Neuroscience.

In The Last Decade

Mimi A. Trinh

7 papers receiving 1.9k citations

Hit Papers

Regulation of Histone Ace... 2004 2026 2011 2018 2004 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mimi A. Trinh United States 7 1.0k 568 390 353 344 7 1.9k
Damien Rei United States 11 850 0.8× 370 0.7× 319 0.8× 114 0.3× 322 0.9× 12 1.4k
Tomoko Toyota Japan 31 1.5k 1.4× 818 1.4× 850 2.2× 192 0.5× 218 0.6× 87 2.8k
Jessica L. Banko United States 20 1.1k 1.0× 895 1.6× 454 1.2× 166 0.5× 303 0.9× 23 2.0k
Michel Cyr Canada 27 1.0k 1.0× 1.5k 2.6× 478 1.2× 136 0.4× 314 0.9× 50 2.7k
Daisuke Ibi Japan 25 949 0.9× 943 1.7× 257 0.7× 98 0.3× 481 1.4× 54 2.6k
Karin Wibrand Norway 17 697 0.7× 637 1.1× 162 0.4× 110 0.3× 180 0.5× 22 1.4k
Trongha Phan United States 11 876 0.9× 556 1.0× 282 0.7× 85 0.2× 236 0.7× 14 1.8k
Maureen V. Martin United States 16 733 0.7× 425 0.7× 247 0.6× 72 0.2× 473 1.4× 22 1.7k
Elaine E. Irvine United Kingdom 27 939 0.9× 847 1.5× 301 0.8× 80 0.2× 541 1.6× 51 2.2k
Matthew M. Dobbin United States 6 1.5k 1.5× 502 0.9× 531 1.4× 98 0.3× 762 2.2× 7 2.6k

Countries citing papers authored by Mimi A. Trinh

Since Specialization
Citations

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

Fields of papers citing papers by Mimi A. Trinh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mimi A. Trinh. 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 Mimi A. Trinh. The network helps show where Mimi A. Trinh may publish in the future.

Co-authorship network of co-authors of Mimi A. Trinh

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

All Works

7 of 7 papers shown
1.
Trinh, Mimi A., Tao Ma, Hanoch Kaphzan, et al.. (2014). The eIF2α kinase PERK limits the expression of hippocampal metabotropic glutamate receptor-dependent long-term depression. Learning & Memory. 21(5). 298–304. 59 indexed citations
2.
Trinh, Mimi A. & Eric Klann. (2013). Translational control by eIF2α kinases in long-lasting synaptic plasticity and long-term memory. Neurobiology of Learning and Memory. 105. 93–99. 71 indexed citations
3.
Ma, Tao, Mimi A. Trinh, Evelina Gatti, et al.. (2013). Suppression of eIF2α kinases alleviates Alzheimer's disease–related plasticity and memory deficits. Nature Neuroscience. 16(9). 1299–1305. 440 indexed citations breakdown →
4.
Trinh, Mimi A., Hanoch Kaphzan, Ronald C. Wek, et al.. (2012). Brain-Specific Disruption of the eIF2α Kinase PERK Decreases ATF4 Expression and Impairs Behavioral Flexibility. Cell Reports. 1(6). 676–688. 119 indexed citations
5.
Govindarajan, Arvind, B.S. Shankaranarayana Rao, Deepti Nair, et al.. (2006). Transgenic brain-derived neurotrophic factor expression causes both anxiogenic and antidepressant effects. Proceedings of the National Academy of Sciences. 103(35). 13208–13213. 276 indexed citations
6.
Barron, Matthew, Narasimhaswamy S. Belaguli, Mimi A. Trinh, et al.. (2005). Serum Response Factor, an Enriched Cardiac Mesoderm Obligatory Factor, Is a Downstream Gene Target for Tbx Genes. Journal of Biological Chemistry. 280(12). 11816–11828. 35 indexed citations
7.
Levenson, Jonathan M., Kenneth J. O’Riordan, Karen Brown, et al.. (2004). Regulation of Histone Acetylation during Memory Formation in the Hippocampus. Journal of Biological Chemistry. 279(39). 40545–40559. 892 indexed citations breakdown →

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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