Trinh Tran

553 total citations
9 papers, 350 citations indexed

About

Trinh Tran is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Trinh Tran has authored 9 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 5 papers in Cognitive Neuroscience and 3 papers in Neurology. Recurrent topics in Trinh Tran's work include Neuroscience and Neuropharmacology Research (7 papers), Neural dynamics and brain function (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Trinh Tran is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Neural dynamics and brain function (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Trinh Tran collaborates with scholars based in United States, Chile and Argentina. Trinh Tran's co-authors include Alfredo Kirkwood, Michelle Bridi, Elizabeth M. Quinlan, Michela Gallagher, Yu Gu, Daniel Severín, Sachiko Murase, Adam Granger, Xueting Zhang and Zheng‐Jiang Zhu and has published in prestigious journals such as Neuron, Journal of Neuroscience and Nature Neuroscience.

In The Last Decade

Trinh Tran

9 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Trinh Tran United States	8	247	170	114	36	27	9	350
Yusuke Iino Japan	5	211 0.9×	122 0.7×	112 1.0×	36 1.0×	21 0.8×	7	312
Thomas Stefanelli Switzerland	5	283 1.1×	190 1.1×	144 1.3×	36 1.0×	19 0.7×	5	404
Jihae Oh South Korea	5	224 0.9×	199 1.2×	88 0.8×	48 1.3×	22 0.8×	7	353
Kevin F. H. Lee Canada	7	253 1.0×	132 0.8×	126 1.1×	36 1.0×	28 1.0×	12	344
Noam Nitzan United States	9	295 1.2×	261 1.5×	69 0.6×	34 0.9×	27 1.0×	13	410
Barbara Imbrosci Germany	12	176 0.7×	118 0.7×	94 0.8×	44 1.2×	29 1.1×	19	342
Andrew M. Rosen United States	8	191 0.8×	188 1.1×	132 1.2×	32 0.9×	35 1.3×	12	415
Xinjun Wang China	7	186 0.8×	115 0.7×	99 0.9×	45 1.3×	28 1.0×	11	315
Karsten Baumgaertel United States	4	276 1.1×	195 1.1×	129 1.1×	31 0.9×	10 0.4×	7	380
Bong-June Yoon South Korea	8	325 1.3×	219 1.3×	175 1.5×	46 1.3×	14 0.5×	13	451

Countries citing papers authored by Trinh Tran

Since Specialization

Citations

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

Fields of papers citing papers by Trinh Tran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trinh Tran

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

All Works

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9 of 9 papers shown

1.

Severín, Daniel, et al.. (2024). Daily oscillations of neuronal membrane capacitance. Cell Reports. 43(10). 114744–114744. 6 indexed citations

2.

Tran, Trinh, Michelle Bridi, Ming Teng Koh, Michela Gallagher, & Alfredo Kirkwood. (2019). Reduced cognitive performance in aged rats correlates with increased excitation/inhibition ratio in the dentate gyrus in response to lateral entorhinal input. Neurobiology of Aging. 82. 120–127. 16 indexed citations

3.

Tran, Trinh, Çağrı Temuçin Ünal, Daniel Severín, et al.. (2019). Ionic current correlations are ubiquitous across phyla. Scientific Reports. 9(1). 1687–1687. 13 indexed citations

4.

Bridi, Michelle, Min Xia, Trinh Tran, et al.. (2019). Daily Oscillation of the Excitation-Inhibition Balance in Visual Cortical Circuits. Neuron. 105(4). 621–629.e4. 93 indexed citations

5.

Bridi, Michelle, Roberto De Pasquale, Yu Gu, et al.. (2018). Two distinct mechanisms for experience-dependent homeostasis. Nature Neuroscience. 21(6). 843–850. 44 indexed citations

6.

Tran, Trinh, Michela Gallagher, & Alfredo Kirkwood. (2018). Enhanced postsynaptic inhibitory strength in hippocampal principal cells in high-performing aged rats. Neurobiology of Aging. 70. 92–101. 15 indexed citations

7.

Chen, Yao, Adam Granger, Trinh Tran, et al.. (2017). Endogenous Gαq-Coupled Neuromodulator Receptors Activate Protein Kinase A. Neuron. 96(5). 1070–1083.e5. 47 indexed citations

8.

Wang, Hui, Álvaro O. Ardiles, Sunggu Yang, et al.. (2016). Metabotropic Glutamate Receptors Induce a Form of LTP Controlled by Translation and Arc Signaling in the Hippocampus. Journal of Neuroscience. 36(5). 1723–1729. 61 indexed citations

9.

Gu, Yu, et al.. (2016). Neuregulin-Dependent Regulation of Fast-Spiking Interneuron Excitability Controls the Timing of the Critical Period. Journal of Neuroscience. 36(40). 10285–10295. 55 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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