Michael G. Sugiyama

1.3k total citations
20 papers, 640 citations indexed

About

Michael G. Sugiyama is a scholar working on Molecular Biology, Cell Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael G. Sugiyama has authored 20 papers receiving a total of 640 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cell Biology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael G. Sugiyama's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Cellular transport and secretion (4 papers) and Caveolin-1 and cellular processes (4 papers). Michael G. Sugiyama is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Cellular transport and secretion (4 papers) and Caveolin-1 and cellular processes (4 papers). Michael G. Sugiyama collaborates with scholars based in Canada, United States and United Kingdom. Michael G. Sugiyama's co-authors include Luis B. Agellon, Costin N. Antonescu, Warren L. Lee, Gregory D. Fairn, Susan Armstrong, Changsen Wang, Siavash Ghaffari, Andrew Advani, Suzanne L. Advani and Mark Roufaiel and has published in prestigious journals such as Circulation, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Michael G. Sugiyama

19 papers receiving 629 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 G. Sugiyama Canada 11 257 124 117 99 93 20 640
Min Hee Kim South Korea 8 286 1.1× 96 0.8× 111 0.9× 68 0.7× 66 0.7× 23 660
Fei Xiong China 15 340 1.3× 148 1.2× 80 0.7× 97 1.0× 48 0.5× 39 766
Bhupesh Singla United States 19 303 1.2× 146 1.2× 314 2.7× 93 0.9× 87 0.9× 52 940
Dil Afroze India 17 492 1.9× 144 1.2× 121 1.0× 136 1.4× 78 0.8× 53 997
Lingdi Wang China 16 366 1.4× 90 0.7× 171 1.5× 166 1.7× 58 0.6× 24 742
Kenji Sakakibara Japan 17 257 1.0× 75 0.6× 200 1.7× 101 1.0× 39 0.4× 51 771
Emily J. Welch United States 8 248 1.0× 193 1.6× 76 0.6× 54 0.5× 84 0.9× 9 694
Naijun Miao China 18 434 1.7× 177 1.4× 81 0.7× 73 0.7× 42 0.5× 21 807
Shasha Zheng China 17 274 1.1× 114 0.9× 77 0.7× 92 0.9× 25 0.3× 34 715

Countries citing papers authored by Michael G. Sugiyama

Since Specialization
Citations

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

Fields of papers citing papers by Michael G. Sugiyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael G. Sugiyama

This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Sugiyama. A scholar is included among the top collaborators of Michael G. Sugiyama 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 G. Sugiyama. Michael G. Sugiyama 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.
Sugiyama, Michael G., et al.. (2023). Loss of tumor suppressor TMEM127 drives RET-mediated transformation through disrupted membrane dynamics. eLife. 12. 5 indexed citations
2.
Sugiyama, Michael G., Aidan I. Brown, Andrew M. Scott, et al.. (2023). Confinement of unliganded EGFR by tetraspanin nanodomains gates EGFR ligand binding and signaling. Nature Communications. 14(1). 2681–2681. 14 indexed citations
3.
Sugiyama, Michael G., et al.. (2023). Improved imaging and preservation of lysosome dynamics using silver nanoparticle-enhanced fluorescence. Molecular Biology of the Cell. 34(10). ar96–ar96. 3 indexed citations
4.
Sugiyama, Michael G., et al.. (2023). Quantitative modeling of EGF receptor ligand discrimination via internalization proofreading. Physical Biology. 20(5). 56008–56008. 2 indexed citations
5.
Anderson, Karen E., Michael G. Sugiyama, Wanjin Hong, et al.. (2022). Fyn and TOM1L1 are recruited to clathrin-coated pits and regulate Akt signaling. The Journal of Cell Biology. 221(4). 16 indexed citations
6.
Sugiyama, Michael G., Jonathan St‐Germain, Kuiru Wei, et al.. (2022). FASN inhibitor TVB-3166 prevents S-acylation of the spike protein of human coronaviruses. Journal of Lipid Research. 63(9). 100256–100256. 8 indexed citations
7.
Sugiyama, Michael G., Gregory D. Fairn, & Costin N. Antonescu. (2020). EGFR signaling in breast cancer requires licensing from separate membrane nanodomains. The FASEB Journal. 34(S1). 1–1. 5 indexed citations
8.
Jones, Sylwia, Peter King, Costin N. Antonescu, et al.. (2020). Targeting of EGFR by a combination of antibodies mediates unconventional EGFR trafficking and degradation. Scientific Reports. 10(1). 663–663. 24 indexed citations
9.
Sugiyama, Michael G., Gregory D. Fairn, & Costin N. Antonescu. (2019). Akt-ing Up Just About Everywhere: Compartment-Specific Akt Activation and Function in Receptor Tyrosine Kinase Signaling. Frontiers in Cell and Developmental Biology. 7. 70–70. 98 indexed citations
10.
11.
Sugiyama, Michael G., Susan Armstrong, Changsen Wang, et al.. (2015). The Tie2-agonist Vasculotide rescues mice from influenza virus infection. Scientific Reports. 5(1). 11030–11030. 52 indexed citations
12.
Wang, Changsen, Susan Armstrong, Michael G. Sugiyama, et al.. (2015). Influenza-Induced Priming and Leak of Human Lung Microvascular Endothelium upon Exposure to Staphylococcus aureus. American Journal of Respiratory Cell and Molecular Biology. 53(4). 459–470. 25 indexed citations
13.
Armstrong, Susan, Michael G. Sugiyama, Karen Fung, et al.. (2015). A novel assay uncovers an unexpected role for SR-BI in LDL transcytosis. Cardiovascular Research. 108(2). 268–277. 121 indexed citations
14.
Sugiyama, Michael G., Roman Zyla, Susan Armstrong, et al.. (2015). Influenza Virus Infection Induces Platelet-Endothelial Adhesion Which Contributes to Lung Injury. Journal of Virology. 90(4). 1812–1823. 54 indexed citations
15.
Armstrong, Susan, Michael G. Sugiyama, Andrew Levy, et al.. (2014). Abstract 11607: Novel Assay for Detection of LDL Transcytosis Across Coronary Endothelium Reveals an Unexpected Role for SR-B1. Circulation. 130(suppl_2).
16.
17.
Sugiyama, Michael G., et al.. (2012). Visualization of Sex-Dimorphic Changes in the Intestinal Transcriptome of <b><i>Fabp2</i></b> Gene-Ablated Mice. Lifestyle Genomics. 5(1). 45–55. 4 indexed citations
18.
Sugiyama, Michael G. & Luis B. Agellon. (2012). Sex differences in lipid metabolism and metabolic disease risk. Biochemistry and Cell Biology. 90(2). 124–141. 78 indexed citations
19.
Sugiyama, Michael G., et al.. (1983). 297.In vivo and vitro Steroid Biosynthesis by Ovarian Juvenile Granulosa Cell Tumor of a Girl with Ollier's Disease : XXXXX Ovarian Tumor(I). 日本産科婦人科學會雜誌. 35(11). 2185. 2 indexed citations
20.
Sugiyama, Michael G., et al.. (1954). [Biochemical and genetic studies on the appearance of streptomycin resistant organisms in tubercle bacilli].. PubMed. 29(11). 445–55; English summary, 463. 1 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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