Matthew E. Randolph

420 total citations
10 papers, 320 citations indexed

About

Matthew E. Randolph is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Matthew E. Randolph has authored 10 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Genetics. Recurrent topics in Matthew E. Randolph's work include Glycosylation and Glycoproteins Research (4 papers), Galectins and Cancer Biology (3 papers) and Muscle Physiology and Disorders (2 papers). Matthew E. Randolph is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Galectins and Cancer Biology (3 papers) and Muscle Physiology and Disorders (2 papers). Matthew E. Randolph collaborates with scholars based in United States, Slovakia and Netherlands. Matthew E. Randolph's co-authors include Michael Pierce, Hua‐Bei Guo, Grace K. Pavlath, Tamás Nagy, Katherine E. Vest, Brittany L. Phillips, Hyo‐Jung Choo, Kelley W. Moremen, Alison V. Nairn and Gerardo Álvarez-Manilla and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Matthew E. Randolph

10 papers receiving 316 citations

Peers

Matthew E. Randolph

MB

IMMUN

OC

ONCOL

CB

Martín Enrique Rabassa Argentina

Karen Strenge United States

Karen Matta United States

Brendon Frank United States

Natalia Porębska Poland

H. Angharad Watson United Kingdom

Glenn A. Cartwright Australia

Yukiko Kariya Japan

Chadi A. El Farran United States

Joshua G Nichols United States

Martín Enrique Rabassa Argentina

Matthew E. Randolph

233 ×0.9

MB

97 ×0.7

IMMUN

24 ×0.5

OC

103 ×2.4

ONCOL

39 ×1.0

CB

Citations per year, relative to Matthew E. Randolph Matthew E. Randolph (= 1×) peers Martín Enrique Rabassa

Countries citing papers authored by Matthew E. Randolph

Since Specialization

Citations

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

Fields of papers citing papers by Matthew E. Randolph

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew E. Randolph

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

All Works

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10 of 10 papers shown

1.

Randolph, Matthew E., Marwa M. Afifi, Aparna Gorthi, et al.. (2024). RNA helicase DDX3 regulates RAD51 localization and DNA damage repair in Ewing sarcoma. iScience. 27(2). 108925–108925. 4 indexed citations

2.

Randolph, Matthew E., Matthew N. Svalina, Michael C. Young, et al.. (2017). EphB4/EphrinB2 therapeutics in Rhabdomyosarcoma. PLoS ONE. 12(8). e0183161–e0183161. 13 indexed citations

3.

Cates, Joshua, Suresh I. Prajapati, Matthew E. Randolph, et al.. (2017). Shape analysis of the basioccipital bone in Pax7-deficient mice. Scientific Reports. 7(1). 17955–17955. 5 indexed citations

4.

Randolph, Matthew E. & Grace K. Pavlath. (2015). A muscle stem cell for every muscle: variability of satellite cell biology among different muscle groups. Frontiers in Aging Neuroscience. 7. 190–190. 41 indexed citations

5.

Randolph, Matthew E., et al.. (2015). Pharyngeal Satellite Cells Undergo Myogenesis Under Basal Conditions and Are Required for Pharyngeal Muscle Maintenance. Stem Cells. 33(12). 3581–3595. 27 indexed citations

6.

Randolph, Matthew E., et al.. (2014). Ageing and muscular dystrophy differentially affect murine pharyngeal muscles in a region‐dependent manner. The Journal of Physiology. 592(23). 5301–5315. 13 indexed citations

7.

Guo, Hua‐Bei, et al.. (2010). Specific posttranslational modification regulates early events in mammary carcinoma formation. Proceedings of the National Academy of Sciences. 107(49). 21116–21121. 49 indexed citations

8.

Guo, Hua‐Bei, et al.. (2009). Regulation of Homotypic Cell-Cell Adhesion by Branched N-Glycosylation of N-cadherin Extracellular EC2 and EC3 Domains. Journal of Biological Chemistry. 284(50). 34986–34997. 72 indexed citations

9.

Guo, Hua‐Bei, Alison V. Nairn, Kyle Harris, et al.. (2008). Loss of expression of N‐acetylglucosaminyltransferase Va results in altered gene expression of glycosyltransferases and galectins. FEBS Letters. 582(4). 527–535. 19 indexed citations

10.

Guo, Hua‐Bei, Matthew E. Randolph, & Michael Pierce. (2007). Inhibition of a Specific N-Glycosylation Activity Results in Attenuation of Breast Carcinoma Cell Invasiveness-related Phenotypes. Journal of Biological Chemistry. 282(30). 22150–22162. 77 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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