Matthew J. Gage

936 total citations
47 papers, 689 citations indexed

About

Matthew J. Gage is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Matthew J. Gage has authored 47 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 14 papers in Cardiology and Cardiovascular Medicine and 10 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Matthew J. Gage's work include Cardiomyopathy and Myosin Studies (14 papers), Force Microscopy Techniques and Applications (10 papers) and RNA and protein synthesis mechanisms (8 papers). Matthew J. Gage is often cited by papers focused on Cardiomyopathy and Myosin Studies (14 papers), Force Microscopy Techniques and Applications (10 papers) and RNA and protein synthesis mechanisms (8 papers). Matthew J. Gage collaborates with scholars based in United States, United Kingdom and South Korea. Matthew J. Gage's co-authors include Kiisa C. Nishikawa, Aaron J. Done, Nathan C. Nieto, Tinna Traustadóttir, Anne S. Robinson, Thomas J. Smith, Samrat Dutta, Brent Nelson, Kelsey M Mangano and Jeremy A. Bruenn and has published in prestigious journals such as Journal of Molecular Biology, Biochemistry and Scientific Reports.

In The Last Decade

Matthew J. Gage

46 papers receiving 671 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. Gage United States 15 324 149 131 113 106 47 689
Rizwan Sarwar United Kingdom 9 169 0.5× 110 0.7× 40 0.3× 182 1.6× 69 0.7× 23 627
Sophie Lemoine France 22 895 2.8× 45 0.3× 165 1.3× 43 0.4× 149 1.4× 38 1.4k
Yuh Kuwano Japan 15 328 1.0× 100 0.7× 70 0.5× 11 0.1× 55 0.5× 26 666
B.D. Lindley United States 8 384 1.2× 296 2.0× 40 0.3× 29 0.3× 70 0.7× 16 651
Olga Fedotovskaya Russia 13 182 0.6× 234 1.6× 99 0.8× 305 2.7× 244 2.3× 16 738
S. Molnár Germany 16 236 0.7× 128 0.9× 80 0.6× 16 0.1× 66 0.6× 131 1.1k
Pauline R. Junankar Australia 18 961 3.0× 401 2.7× 92 0.7× 11 0.1× 86 0.8× 22 1.1k
François Gannier France 15 464 1.4× 491 3.3× 57 0.4× 10 0.1× 51 0.5× 24 803
Jeffery D. Fritz United States 12 531 1.6× 114 0.8× 56 0.4× 8 0.1× 127 1.2× 20 814
Celene Fernandes Bernardes Brazil 15 308 1.0× 67 0.4× 173 1.3× 21 0.2× 64 0.6× 25 742

Countries citing papers authored by Matthew J. Gage

Since Specialization
Citations

This map shows the geographic impact of Matthew J. Gage'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. Gage 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. Gage more than expected).

Fields of papers citing papers by Matthew J. Gage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Gage. A scholar is included among the top collaborators of Matthew J. Gage 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. Gage. Matthew J. Gage 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.
Granzier, Henk, et al.. (2022). Contributions of Titin and Collagen to Passive Stress in Muscles from mdm Mice with a Small Deletion in Titin’s Molecular Spring. International Journal of Molecular Sciences. 23(16). 8858–8858. 7 indexed citations
2.
Nishikawa, Kiisa C., et al.. (2022). Transcriptomic profiles of muscular dystrophy with myositis (mdm) in extensor digitorum longus, psoas, and soleus muscles from mice. BMC Genomics. 23(1). 657–657. 6 indexed citations
3.
Phillips, Kevin, Byungjoo Noh, Matthew J. Gage, & Tejin Yoon. (2021). Neural and muscular alterations of the plantar flexors in middle-aged women. Experimental Gerontology. 159. 111674–111674. 2 indexed citations
4.
Gage, Matthew J., et al.. (2021). Identification of the domains within the N2A region of titin that regulate binding to actin. Biochemical and Biophysical Research Communications. 589. 147–151. 2 indexed citations
5.
Gage, Matthew J., et al.. (2021). Protein Unfolding: Denaturant vs. Force. Biomedicines. 9(10). 1395–1395. 7 indexed citations
6.
Nishikawa, Kiisa C., et al.. (2020). Comparative analysis of the transcriptomes of EDL, psoas, and soleus muscles from mice. BMC Genomics. 21(1). 808–808. 32 indexed citations
7.
Gage, Matthew J., et al.. (2020). Differences in stability and calcium sensitivity of the Ig domains in titin's N2A region. Protein Science. 29(5). 1160–1171. 9 indexed citations
8.
Xu, Jin, et al.. (2020). The Poly-E motif in Titin's PEVK region undergoes pH dependent conformational changes. Biochemistry and Biophysics Reports. 24. 100859–100859. 5 indexed citations
9.
Nishikawa, Kiisa C., Samrat Dutta, Michael DuVall, et al.. (2019). Calcium-dependent titin–thin filament interactions in muscle: observations and theory. Journal of Muscle Research and Cell Motility. 41(1). 125–139. 30 indexed citations
10.
Dutta, Samrat, Brent Nelson, Matthew J. Gage, & Kiisa C. Nishikawa. (2018). Calcium Dependent Interaction Between N2A-Halo and F-Actin: A Single Molecule Study. Biophysical Journal. 114(3). 353a–353a. 1 indexed citations
11.
Dutta, Samrat, Humra Athar, Jeffrey R. Moore, et al.. (2018). Calcium increases titin N2A binding to F-actin and regulated thin filaments. Scientific Reports. 8(1). 14575–14575. 72 indexed citations
12.
Sonkar, Kanchan, et al.. (2016). The insertion sequence of the N2A region of titin exists in an extended structure with helical characteristics. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1865(1). 1–10. 14 indexed citations
13.
Purohit, Rahul, Aaron Issaian, A. Weichsel, et al.. (2013). YC-1 Binding to the β Subunit of Soluble Guanylyl Cyclase Overcomes Allosteric Inhibition by the α Subunit. Biochemistry. 53(1). 101–114. 29 indexed citations
14.
Kit, Wai, et al.. (2010). Aquifex Aeolicus FlgM Protein Does Not Exhibit the Disordered Character of the Salmonella Typhimurium FlgM Protein. Biophysical Journal. 98(3). 653a–653a. 1 indexed citations
15.
Kit, Wai, et al.. (2010). Aquifex aeolicus FlgM protein exhibits a temperature-dependent disordered nature. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1804(7). 1457–1466. 8 indexed citations
16.
Allen, Andrew C., et al.. (2009). Conformational detection of p53’s oligomeric state by FlAsH Fluorescence. Biochemical and Biophysical Research Communications. 384(1). 66–70. 12 indexed citations
17.
Hopkins, J. Ty, et al.. (2008). Whole Body Vibration Does Not Potentiate the Stretch Reflex. International Journal of Sports Medicine. 30(2). 124–129. 46 indexed citations
18.
Gage, Matthew J., et al.. (2004). Pressure dissociation studies provide insight into oligomerization competence of temperature‐sensitive folding mutants of P22 tailspike. Protein Science. 13(6). 1538–1546. 2 indexed citations
19.
Gage, Matthew J., et al.. (2004). Maximizing Recovery of Native Protein from Aggregates by Optimizing Pressure Treatment. Biotechnology Progress. 20(2). 623–629. 20 indexed citations
20.
Gage, Matthew J. & Anne S. Robinson. (2003). C‐terminal hydrophobic interactions play a critical role in oligomeric assembly of the P22 tailspike trimer. Protein Science. 12(12). 2732–2747. 19 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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