Matthew J. Rames

832 total citations
23 papers, 617 citations indexed

About

Matthew J. Rames is a scholar working on Molecular Biology, Structural Biology and Surfaces, Coatings and Films. According to data from OpenAlex, Matthew J. Rames has authored 23 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Structural Biology and 5 papers in Surfaces, Coatings and Films. Recurrent topics in Matthew J. Rames's work include Advanced Electron Microscopy Techniques and Applications (6 papers), Electron and X-Ray Spectroscopy Techniques (5 papers) and RNA and protein synthesis mechanisms (5 papers). Matthew J. Rames is often cited by papers focused on Advanced Electron Microscopy Techniques and Applications (6 papers), Electron and X-Ray Spectroscopy Techniques (5 papers) and RNA and protein synthesis mechanisms (5 papers). Matthew J. Rames collaborates with scholars based in United States and China. Matthew J. Rames's co-authors include Gang Ren, Peter Ercius, Lei Zhang, Huimin Tong, Shengli Zhang, Yadong Yu, Bo Peng, Xing Zhang, Xiaolin Nan and Kai Tao and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Matthew J. Rames

20 papers receiving 602 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew J. Rames United States 12 309 158 109 81 78 23 617
Miriam S. Lucas Switzerland 11 224 0.7× 167 1.1× 107 1.0× 65 0.8× 23 0.3× 18 666
Huimin Tong China 9 218 0.7× 82 0.5× 76 0.7× 46 0.6× 68 0.9× 19 437
Mitsuo Suga Japan 16 209 0.7× 246 1.6× 159 1.5× 176 2.2× 19 0.2× 40 786
Laura C. Zanetti-Domingues United Kingdom 15 420 1.4× 78 0.5× 90 0.8× 32 0.4× 108 1.4× 30 751
Matthia A. Karreman Germany 15 257 0.8× 189 1.2× 106 1.0× 68 0.8× 21 0.3× 25 633
Mohammed Yusuf United Kingdom 13 227 0.7× 81 0.5× 122 1.1× 24 0.3× 14 0.2× 31 555
Marie Davídková Czechia 18 398 1.3× 32 0.2× 67 0.6× 42 0.5× 200 2.6× 84 985
J. F. Hainfeld United States 12 340 1.1× 97 0.6× 38 0.3× 76 0.9× 38 0.5× 32 818
A.C. Zonnevylle Netherlands 7 132 0.4× 113 0.7× 42 0.4× 78 1.0× 6 0.1× 13 342
Ricardo D. Righetto Switzerland 10 285 0.9× 137 0.9× 37 0.3× 68 0.8× 10 0.1× 22 506

Countries citing papers authored by Matthew J. Rames

Since Specialization
Citations

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

Fields of papers citing papers by Matthew J. Rames

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Rames. 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 Matthew J. Rames. The network helps show where Matthew J. Rames may publish in the future.

Co-authorship network of co-authors of Matthew J. Rames

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Rames. A scholar is included among the top collaborators of Matthew J. Rames 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 Matthew J. Rames. Matthew J. Rames 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.
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Jeong, Kangjin, Bo Young Jeong, Yuhan Sheng, et al.. (2025). Nuclear cGAS mediated replication stress and mitotic catastrophe can overcome gemcitabine resistance. Cancer Letters. 633. 218009–218009.
3.
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Liu, Di-Ao, Kai Tao, Bin Wu, et al.. (2023). A phosphoinositide switch mediates exocyst recruitment to multivesicular endosomes for exosome secretion. Nature Communications. 14(1). 6883–6883. 43 indexed citations
5.
Rames, Matthew J., Fehmi Çivitçi, Malwina Szczepaniak, et al.. (2023). Multiplexed and Millimeter-Scale Fluorescence Nanoscopy of Cells and Tissue Sections via Prism-Illumination and Microfluidics-Enhanced DNA-PAINT. SHILAP Revista de lepidopterología. 1(9). 817–830. 8 indexed citations
6.
Rames, Matthew J., et al.. (2023). pyunjis/EV-RNA: Release for Communications Biology Publication. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
7.
Rames, Matthew J., Joseph Estabrook, Josiah T. Wagner, et al.. (2023). Selective enrichment of plasma cell-free messenger RNA in cancer-associated extracellular vesicles. Communications Biology. 6(1). 885–885. 11 indexed citations
8.
Rames, Matthew J., Samuel Tassi Yunga, Randall Armstrong, et al.. (2022). Irreversible alteration of extracellular vesicle and cell-free messenger RNA profiles in human plasma associated with blood processing and storage. Scientific Reports. 12(1). 2099–2099. 14 indexed citations
9.
10.
Liu, Jinxin, Hongchang Li, Lei Zhang, et al.. (2016). Fully Mechanically Controlled Automated Electron Microscopic Tomography. Scientific Reports. 6(1). 29231–29231. 16 indexed citations
11.
Lei, Dongsheng, et al.. (2016). Insights into the Tunnel Mechanism of Cholesteryl Ester Transfer Protein through All-atom Molecular Dynamics Simulations. Journal of Biological Chemistry. 291(27). 14034–14044. 22 indexed citations
12.
Lei, Dongsheng, et al.. (2015). A Model of Lipid-Free Apolipoprotein A-I Revealed by Iterative Molecular Dynamics Simulation. PLoS ONE. 10(3). e0120233–e0120233. 7 indexed citations
13.
Zhang, Meng, Huimin Tong, Lei Zhang, et al.. (2015). HDL surface lipids mediate CETP binding as revealed by electron microscopy and molecular dynamics simulation. Scientific Reports. 5(1). 8741–8741. 49 indexed citations
14.
Zhang, Xing, Lei Zhang, Huimin Tong, et al.. (2015). 3D Structural Fluctuation of IgG1 Antibody Revealed by Individual Particle Electron Tomography. Scientific Reports. 5(1). 9803–9803. 104 indexed citations
15.
Ercius, Peter, et al.. (2015). Electron Tomography: Electron Tomography: A Three‐Dimensional Analytic Tool for Hard and Soft Materials Research (Adv. Mater. 38/2015). Advanced Materials. 27(38). 5637–5637. 1 indexed citations
16.
Ercius, Peter, et al.. (2015). Electron Tomography: A Three‐Dimensional Analytic Tool for Hard and Soft Materials Research. Advanced Materials. 27(38). 5638–5663. 166 indexed citations
17.
Rames, Matthew J., et al.. (2014). Optimized Negative Staining: a High-throughput Protocol for Examining Small and Asymmetric Protein Structure by Electron Microscopy. Journal of Visualized Experiments. 28 indexed citations
18.
Rames, Matthew J., Yadong Yu, & Gang Ren. (2014). Optimized Negative Staining: a High-throughput Protocol for Examining Small and Asymmetric Protein Structure by Electron Microscopy. Journal of Visualized Experiments. e51087–e51087. 54 indexed citations
19.
Tong, Huimin, Lei Zhang, Allan Kaspar, et al.. (2013). Peptide-Conjugation Induced Conformational Changes in Human IgG1 Observed by Optimized Negative-Staining and Individual-Particle Electron Tomography. Scientific Reports. 3(1). 1089–1089. 29 indexed citations
20.
Lei, Dongsheng, et al.. (2012). Structural features of cholesteryl ester transfer protein: A molecular dynamics simulation study. Proteins Structure Function and Bioinformatics. 81(3). 415–425. 21 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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Breakdown of academic impact, for papers by Miriam S. Lucas Breakdown of academic impact, for papers by Huimin Tong Breakdown of academic impact, for papers by Mitsuo Suga Breakdown of academic impact, for papers by Laura C. Zanetti-Domingues Breakdown of academic impact, for papers by Matthia A. Karreman Breakdown of academic impact, for papers by Mohammed Yusuf Breakdown of academic impact, for papers by Marie Davídková Breakdown of academic impact, for papers by J. F. Hainfeld Breakdown of academic impact, for papers by A.C. Zonnevylle Breakdown of academic impact, for papers by Ricardo D. Righetto
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