Michael Tri H.

3.4k total citations · 1 hit paper
24 papers, 2.3k citations indexed

About

Michael Tri H. is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Michael Tri H. has authored 24 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Cellular and Molecular Neuroscience and 14 papers in Endocrine and Autonomic Systems. Recurrent topics in Michael Tri H.'s work include Retinal Development and Disorders (16 papers), Circadian rhythm and melatonin (14 papers) and Photoreceptor and optogenetics research (12 papers). Michael Tri H. is often cited by papers focused on Retinal Development and Disorders (16 papers), Circadian rhythm and melatonin (14 papers) and Photoreceptor and optogenetics research (12 papers). Michael Tri H. collaborates with scholars based in United States, Australia and United Kingdom. Michael Tri H.'s co-authors include King‐Wai Yau, Bruce P. Bean, Hsi‐Wen Liao, Tian Xue, Haining Zhong, Shin Hyeok Kang, Dwight E. Bergles, Samer Hattar, Tiffany M. Schmidt and Robert J. Lucas and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Michael Tri H.

22 papers receiving 2.3k citations

Hit Papers

Molecular Classification and Comparative Taxonomics of Fo... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Tri H. United States 16 1.3k 1.2k 1.0k 340 242 24 2.3k
Hugh Cahill United States 14 1.3k 1.0× 932 0.8× 635 0.6× 381 1.1× 284 1.2× 17 2.2k
Tudor C. Badea United States 30 2.4k 1.8× 1.6k 1.4× 1.0k 1.0× 431 1.3× 203 0.8× 76 4.0k
William Hayes United States 12 887 0.7× 1.0k 0.9× 1.3k 1.3× 269 0.8× 161 0.7× 23 2.2k
Ernesto F. Moreira United States 12 640 0.5× 496 0.4× 764 0.7× 168 0.5× 99 0.4× 16 1.5k
David Marshak United States 29 1.9k 1.5× 1.6k 1.4× 286 0.3× 553 1.6× 144 0.6× 93 2.6k
Tiffany M. Schmidt United States 25 1.3k 1.0× 1.3k 1.1× 1.5k 1.5× 361 1.1× 220 0.9× 45 2.4k
Ágoston Szél Hungary 30 2.1k 1.6× 1.5k 1.3× 454 0.4× 294 0.9× 155 0.6× 76 2.7k
Maureen A. McCall United States 35 2.8k 2.2× 2.3k 2.0× 348 0.3× 380 1.1× 217 0.9× 99 3.7k
Anna Matynia United States 22 886 0.7× 836 0.7× 245 0.2× 507 1.5× 75 0.3× 50 2.3k
Nazia M. Alam United States 14 732 0.6× 664 0.6× 662 0.6× 221 0.7× 122 0.5× 20 1.3k

Countries citing papers authored by Michael Tri H.

Since Specialization
Citations

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

Fields of papers citing papers by Michael Tri H.

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Tri H.

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Tri H.. A scholar is included among the top collaborators of Michael Tri H. 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 Tri H.. Michael Tri H. 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.
Ding, Chen, Sophia Wienbar, Whitney S. Gibbs, et al.. (2025). SARM1 loss protects retinal ganglion cells in a mouse model of autosomal dominant optic atrophy. Journal of Clinical Investigation. 135(12).
2.
Tsai, Nicole, Mengya Zhao, Kenichi Toma, et al.. (2025). Molecular and spatial analysis of ganglion cells on retinal flatmounts identifies perivascular neurons resilient to glaucoma. Neuron. 113(20). 3390–3407.e8. 1 indexed citations
3.
Liu, Jianyang, Christopher Gottschalk, Michael Tri H., et al.. (2025). Deep R-gene discovery in HLB resistant wild Australian limes uncovers evolutionary features and potentially important loci for hybrid breeding. Frontiers in Plant Science. 15. 1503030–1503030. 2 indexed citations
4.
Lucas, Robert J., Annette E. Allen, George C. Brainard, et al.. (2024). Recommendations for measuring and standardizing light for laboratory mammals to improve welfare and reproducibility in animal research. PLoS Biology. 22(3). e3002535–e3002535. 16 indexed citations
5.
Peng, Yi‐Rong, Alan J. Emanuel, Philippe Morquette, et al.. (2023). Encoding of environmental illumination by primate melanopsin neurons. Science. 379(6630). 376–381. 13 indexed citations
6.
Emanuel, Alan J. & Michael Tri H.. (2023). The multistable melanopsins of mammals. SHILAP Revista de lepidopterología. 3. 4 indexed citations
7.
Lee, Sammy, et al.. (2021). Satb1 expression in retinal ganglion cells of marmosets, macaques, and humans. The Journal of Comparative Neurology. 530(6). 923–940. 7 indexed citations
8.
H., Michael Tri, et al.. (2020). Optimized Signal Flow through Photoreceptors Supports the High-Acuity Vision of Primates. Neuron. 108(2). 335–348.e7. 10 indexed citations
9.
Peng, Yi‐Rong, Karthik Shekhar, Wenjun Yan, et al.. (2019). Molecular Classification and Comparative Taxonomics of Foveal and Peripheral Cells in Primate Retina. Cell. 176(5). 1222–1237.e22. 290 indexed citations breakdown →
10.
H., Michael Tri. (2019). Melanopsin and the Intrinsically Photosensitive Retinal Ganglion Cells: Biophysics to Behavior. Neuron. 104(2). 205–226. 169 indexed citations
11.
Emanuel, Alan J., Kush Kapur, & Michael Tri H.. (2017). Biophysical Variation within the M1 Type of Ganglion Cell Photoreceptor. Cell Reports. 21(4). 1048–1062. 37 indexed citations
12.
H., Michael Tri, et al.. (2017). A Population Representation of Absolute Light Intensity in the Mammalian Retina. Cell. 171(4). 865–876.e16. 60 indexed citations
13.
Schmidt, Tiffany M., Michael Tri H., Dennis M. Dacey, et al.. (2011). Melanopsin-Positive Intrinsically Photosensitive Retinal Ganglion Cells: From Form to Function. Journal of Neuroscience. 31(45). 16094–16101. 182 indexed citations
14.
Xue, Tian, Michael Tri H., Angelo Riccio, et al.. (2011). Melanopsin signalling in mammalian iris and retina. Nature. 479(7371). 67–73. 213 indexed citations
15.
Müller, Luis Pérez de Sevilla, Michael Tri H., King‐Wai Yau, Shigang He, & William H. Baldridge. (2010). Tracer coupling of intrinsically photosensitive retinal ganglion cells to amacrine cells in the mouse retina. The Journal of Comparative Neurology. 518(23). 4813–4824. 74 indexed citations
16.
H., Michael Tri, Shin Hyeok Kang, Tian Xue, et al.. (2009). Melanopsin Signalling: Low Pigment Density, Large Single-Photon Response, and High-Efficiency Transmission. Biophysical Journal. 96(3). 200a–200a.
17.
H., Michael Tri, Shin Hyeok Kang, Tian Xue, et al.. (2008). Photon capture and signalling by melanopsin retinal ganglion cells. Nature. 457(7227). 281–287. 225 indexed citations
18.
Fu, Yingbin, Hsi‐Wen Liao, Michael Tri H., & King‐Wai Yau. (2005). Non-image-forming ocular photoreception in vertebrates. Current Opinion in Neurobiology. 15(4). 415–422. 88 indexed citations
19.
H., Michael Tri & Bruce P. Bean. (2004). Sodium Currents in Subthalamic Nucleus Neurons From Na v 1.6-Null Mice. Journal of Neurophysiology. 92(2). 726–733. 68 indexed citations
20.
Coopman, Peter J., Michael Tri H., Emma T. Bowden, et al.. (2000). The Syk tyrosine kinase suppresses malignant growth of human breast cancer cells. Nature. 406(6797). 742–747. 271 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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