Matthew A. Summers

844 total citations
16 papers, 555 citations indexed

About

Matthew A. Summers is a scholar working on Neurology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Matthew A. Summers has authored 16 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Neurology, 4 papers in Molecular Biology and 3 papers in Infectious Diseases. Recurrent topics in Matthew A. Summers's work include Neurofibromatosis and Schwannoma Cases (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and COVID-19 Clinical Research Studies (3 papers). Matthew A. Summers is often cited by papers focused on Neurofibromatosis and Schwannoma Cases (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and COVID-19 Clinical Research Studies (3 papers). Matthew A. Summers collaborates with scholars based in Australia, United Kingdom and Bangladesh. Matthew A. Summers's co-authors include Mohammad Ali Moni, Shahadat Uddin, Md. Rashed-Al-Mahfuz, Julian M.W. Quinn, Michelle M. McDonald, Aaron Schindeler, Píetro Lió, David G. Little, Salem A. Alyami and Valsamma Eapen and has published in prestigious journals such as PLoS ONE, Human Molecular Genetics and Expert Systems with Applications.

In The Last Decade

Matthew A. Summers

16 papers receiving 546 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 A. Summers Australia 13 142 99 82 80 80 16 555
Liping Sun China 11 147 1.0× 55 0.6× 122 1.5× 34 0.4× 91 1.1× 34 542
Feixiong Cheng United States 10 112 0.8× 87 0.9× 45 0.5× 24 0.3× 90 1.1× 17 554
Zhenping Li China 20 328 2.3× 51 0.5× 74 0.9× 50 0.6× 67 0.8× 81 1.2k
Donal Fellows United States 13 171 1.2× 75 0.8× 56 0.7× 56 0.7× 46 0.6× 30 1.1k
Su-Hyun Lee South Korea 14 131 0.9× 47 0.5× 114 1.4× 21 0.3× 44 0.6× 41 690
Xinghu Zhang China 19 157 1.1× 55 0.6× 444 5.4× 111 1.4× 76 0.9× 109 1.2k
Divyansh Agarwal United States 13 277 2.0× 35 0.4× 17 0.2× 52 0.7× 47 0.6× 65 824
Yulin Wang China 17 77 0.5× 74 0.7× 35 0.4× 118 1.5× 356 4.5× 70 814
Konrad Rawlik United Kingdom 16 360 2.5× 98 1.0× 21 0.3× 24 0.3× 27 0.3× 30 1.1k
Yiqi Chen China 12 161 1.1× 31 0.3× 29 0.4× 44 0.6× 115 1.4× 69 541

Countries citing papers authored by Matthew A. Summers

Since Specialization
Citations

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

Fields of papers citing papers by Matthew A. Summers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew A. Summers

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew A. Summers. A scholar is included among the top collaborators of Matthew A. Summers 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 A. Summers. Matthew A. Summers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Burns, Joshua, Paula Bray, Anita J. Mudge, et al.. (2021). L‐carnitine supplementation for muscle weakness and fatigue in children with neurofibromatosis type 1: A Phase 2a clinical trial. American Journal of Medical Genetics Part A. 185(10). 2976–2985. 12 indexed citations
2.
Rashed-Al-Mahfuz, Md., Mohammad Ali Moni, Shahadat Uddin, et al.. (2021). A Deep Convolutional Neural Network Method to Detect Seizures and Characteristic Frequencies Using Epileptic Electroencephalogram (EEG) Data. IEEE Journal of Translational Engineering in Health and Medicine. 9. 1–12. 86 indexed citations
3.
Satu, Md. Shahriare, Md. Imran Khan, Mufti Mahmud, et al.. (2021). TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets. Knowledge-Based Systems. 226. 107126–107126. 56 indexed citations
4.
Ahamad, Md. Martuza, Sakifa Aktar, Md. Rashed-Al-Mahfuz, et al.. (2020). A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients. Expert Systems with Applications. 160. 113661–113661. 111 indexed citations
5.
Nain, Zulkar, Humayan Kabir Rana, Píetro Lió, et al.. (2020). Pathogenetic profiling of COVID-19 and SARS-like viruses. Briefings in Bioinformatics. 22(2). 1175–1196. 44 indexed citations
6.
Houweling, Peter J., Thusitha Rupasinghe, Matthew A. Summers, et al.. (2020). Evaluating modified diets and dietary supplement therapies for reducing muscle lipid accumulation and improving muscle function in neurofibromatosis type 1 (NF1). PLoS ONE. 15(8). e0237097–e0237097. 5 indexed citations
7.
Moni, Mohammad Ali, Julian M.W. Quinn, Nese Sinmaz, & Matthew A. Summers. (2020). Gene expression profiling of SARS-CoV-2 infections reveal distinct primary lung cell and systemic immune infection responses that identify pathways relevant in COVID-19 disease. Briefings in Bioinformatics. 22(2). 1324–1337. 24 indexed citations
8.
Saedi, Ahmed Al, Shilpa Sharma, Matthew A. Summers, Kulmira Nurgali, & Gustavo Duque. (2019). The multiple faces of tryptophan in bone biology. Experimental Gerontology. 129. 110778–110778. 39 indexed citations
9.
Summers, Matthew A., Michelle M. McDonald, & Peter I. Croucher. (2019). Cancer Cell Dormancy in Metastasis. Cold Spring Harbor Perspectives in Medicine. 10(4). a037556–a037556. 34 indexed citations
10.
Summers, Matthew A., et al.. (2018). Developmental dosing with a MEK inhibitor (PD0325901) rescues myopathic features of the muscle-specific but not limb-specific Nf1 knockout mouse. Molecular Genetics and Metabolism. 123(4). 518–525. 9 indexed citations
11.
Summers, Matthew A., et al.. (2018). Lipid storage myopathies: Current treatments and future directions. Progress in Lipid Research. 72. 1–17. 33 indexed citations
12.
Byrne, Niall M., Matthew A. Summers, & Michelle M. McDonald. (2018). Tumor Cell Dormancy and Reactivation in Bone: Skeletal Biology and Therapeutic Opportunities. JBMR Plus. 3(3). e10125–e10125. 30 indexed citations
13.
Summers, Matthew A., Thusitha Rupasinghe, Frances J. Evesson, et al.. (2017). Dietary intervention rescues myopathy associated with neurofibromatosis type 1. Human Molecular Genetics. 27(4). 577–588. 19 indexed citations
14.
Summers, Matthew A., Kathy Mikulec, Lauren Peacock, David G. Little, & Aaron Schindeler. (2017). Limitations of the Pax7-creER T2 transgene for driving deletion of Nf1 in adult mouse muscle. The International Journal of Developmental Biology. 61(8-9). 531–536. 2 indexed citations
15.
Summers, Matthew A., Kate Quinlan, Jonathan M. Payne, et al.. (2015). Skeletal muscle and motor deficits in Neurofibromatosis Type 1.. PubMed Central. 15(2). 161–70. 36 indexed citations
16.
Mikulec, Kathy, et al.. (2014). Inducible cell labeling and lineage tracking during fracture repair. Development Growth & Differentiation. 57(1). 10–23. 15 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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