Michael M. Poon

991 total citations
7 papers, 761 citations indexed

About

Michael M. Poon is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Michael M. Poon has authored 7 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 1 paper in Oncology. Recurrent topics in Michael M. Poon's work include RNA regulation and disease (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and RNA Interference and Gene Delivery (2 papers). Michael M. Poon is often cited by papers focused on RNA regulation and disease (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and RNA Interference and Gene Delivery (2 papers). Michael M. Poon collaborates with scholars based in United States and Russia. Michael M. Poon's co-authors include Lu Chen, Christine I. Nam, Jason Aoto, Pamela Y. Ting, Sang-Hyun Choi, Kelsey C. Martin, Daniel H. Geschwind, Christina Jamieson, Didier Bagnol and Christopher Baccei and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Michael M. Poon

7 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael M. Poon United States 5 516 391 104 100 98 7 761
Pamela Y. Ting United States 6 342 0.7× 323 0.8× 58 0.6× 70 0.7× 83 0.8× 7 555
Patricia Guijarro China 9 575 1.1× 213 0.5× 100 1.0× 194 1.9× 85 0.9× 10 861
Lars von Oerthel Netherlands 16 548 1.1× 516 1.3× 142 1.4× 143 1.4× 46 0.5× 26 885
Kristin L. Arendt United States 12 422 0.8× 421 1.1× 82 0.8× 62 0.6× 128 1.3× 13 696
Xavier Nicol France 14 614 1.2× 570 1.5× 47 0.5× 97 1.0× 47 0.5× 28 905
José Á. Armengol Spain 19 433 0.8× 465 1.2× 116 1.1× 247 2.5× 80 0.8× 51 959
Gulayse Ince-Dunn United States 12 567 1.1× 270 0.7× 115 1.1× 116 1.2× 48 0.5× 13 807
Mari Sepp Estonia 14 475 0.9× 232 0.6× 244 2.3× 113 1.1× 66 0.7× 24 760
Jean‐Philippe Loeffler France 10 350 0.7× 189 0.5× 96 0.9× 74 0.7× 45 0.5× 12 575
Lata Chaunsali United States 9 204 0.4× 337 0.9× 34 0.3× 62 0.6× 62 0.6× 13 646

Countries citing papers authored by Michael M. Poon

Since Specialization
Citations

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

Fields of papers citing papers by Michael M. Poon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael M. Poon. 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 Michael M. Poon. The network helps show where Michael M. Poon may publish in the future.

Co-authorship network of co-authors of Michael M. Poon

This figure shows the co-authorship network connecting the top 25 collaborators of Michael M. Poon. A scholar is included among the top collaborators of Michael M. Poon 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 Michael M. Poon. Michael M. Poon 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.
Poon, Michael M., Karin J. Stebbins, Christopher Baccei, et al.. (2024). Discovery of a brain penetrant small molecule antagonist targeting LPA1 receptors to reduce neuroinflammation and promote remyelination in multiple sclerosis. Scientific Reports. 14(1). 10573–10573. 3 indexed citations
2.
Schrader, Thomas O., Didier Bagnol, Christopher Baccei, et al.. (2024). Identification and In Vivo Evaluation of Myelination Agent PIPE-3297, a Selective Kappa Opioid Receptor Agonist Devoid of β-Arrestin-2 Recruitment Efficacy. ACS Chemical Neuroscience. 15(3). 685–698. 3 indexed citations
3.
Poon, Michael M., et al.. (2011). Functional Characterization of the Dendritically Localized mRNA Neuronatin in Hippocampal Neurons. PLoS ONE. 6(9). e24879–e24879. 44 indexed citations
4.
Aoto, Jason, Christine I. Nam, Michael M. Poon, Pamela Y. Ting, & Lu Chen. (2008). Synaptic Signaling by All-Trans Retinoic Acid in Homeostatic Synaptic Plasticity. Neuron. 60(2). 308–320. 298 indexed citations
5.
Poon, Michael M., et al.. (2008). Retinoic acid regulates RARα-mediated control of translation in dendritic RNA granules during homeostatic synaptic plasticity. Proceedings of the National Academy of Sciences. 105(41). 16015–16020. 115 indexed citations
6.
Poon, Michael M. & Lu Chen. (2008). Retinoic acid-gated sequence-specific translational control by RARα. Proceedings of the National Academy of Sciences. 105(51). 20303–20308. 117 indexed citations
7.
Poon, Michael M., Sang-Hyun Choi, Christina Jamieson, Daniel H. Geschwind, & Kelsey C. Martin. (2006). Identification of Process-Localized mRNAs from Cultured Rodent Hippocampal Neurons. Journal of Neuroscience. 26(51). 13390–13399. 181 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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2026