Mahlon Collins

611 total citations
10 papers, 389 citations indexed

About

Mahlon Collins is a scholar working on Neurology, Molecular Biology and Genetics. According to data from OpenAlex, Mahlon Collins has authored 10 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 5 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Mahlon Collins's work include Amyotrophic Lateral Sclerosis Research (6 papers), Neurogenetic and Muscular Disorders Research (4 papers) and Alzheimer's disease research and treatments (3 papers). Mahlon Collins is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (6 papers), Neurogenetic and Muscular Disorders Research (4 papers) and Alzheimer's disease research and treatments (3 papers). Mahlon Collins collaborates with scholars based in United States. Mahlon Collins's co-authors include Robert Bowser, Jiyan An, Brian L. Hood, Thomas P. Conrads, Thomas N. Chase, Francesco Bibbiani, Justin D. Oh, Alan E. Renton, Bryan J. Traynor and Tina Kovalik and has published in prestigious journals such as Scientific Reports, Brain Research and PLoS Genetics.

In The Last Decade

Mahlon Collins

10 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mahlon Collins United States 8 220 202 110 61 52 10 389
Jimmy Beckers Belgium 8 191 0.9× 179 0.9× 56 0.5× 89 1.5× 45 0.9× 10 312
Katarina Stoklund Dittlau Belgium 7 123 0.6× 154 0.8× 81 0.7× 63 1.0× 39 0.8× 14 280
Dwight Figueiredo United States 5 180 0.8× 201 1.0× 107 1.0× 33 0.5× 62 1.2× 6 468
Carmelo Milioto Italy 7 110 0.5× 234 1.2× 97 0.9× 110 1.8× 38 0.7× 10 325
Sayaka Teramoto Japan 11 218 1.0× 274 1.4× 81 0.7× 115 1.9× 33 0.6× 14 407
Kevin McAvoy United States 9 229 1.0× 190 0.9× 87 0.8× 118 1.9× 77 1.5× 11 400
Daniel Farny Germany 6 243 1.1× 190 0.9× 41 0.4× 131 2.1× 57 1.1× 6 320
Miren Zulaica Spain 12 126 0.6× 170 0.8× 176 1.6× 25 0.4× 35 0.7× 18 291
Vincent Picher‐Martel Canada 9 255 1.2× 161 0.8× 59 0.5× 126 2.1× 51 1.0× 19 364
Ian Coldicott United Kingdom 10 124 0.6× 138 0.7× 47 0.4× 103 1.7× 32 0.6× 13 268

Countries citing papers authored by Mahlon Collins

Since Specialization
Citations

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

Fields of papers citing papers by Mahlon Collins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mahlon Collins. 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 Mahlon Collins. The network helps show where Mahlon Collins may publish in the future.

Co-authorship network of co-authors of Mahlon Collins

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

All Works

10 of 10 papers shown
1.
Collins, Mahlon, et al.. (2023). Substrate-specific effects of natural genetic variation on proteasome activity. PLoS Genetics. 19(5). e1010734–e1010734. 3 indexed citations
2.
Collins, Mahlon, Gemechu Mekonnen, & Frank W. Albert. (2022). Variation in ubiquitin system genes creates substrate-specific effects on proteasomal protein degradation. eLife. 11. 5 indexed citations
3.
Collins, Mahlon, Li Yang, & Robert Bowser. (2020). RBM45 associates with nuclear stress bodies and forms nuclear inclusions during chronic cellular stress and in neurodegenerative diseases. Acta Neuropathologica Communications. 8(1). 91–91. 16 indexed citations
4.
Li, Yang, Mahlon Collins, Jiyan An, et al.. (2016). Immunoprecipitation and mass spectrometry defines an extensive RBM45 protein–protein interaction network. Brain Research. 1647. 79–93. 43 indexed citations
5.
Li, Yang, et al.. (2015). RBM45 homo-oligomerization mediates association with ALS-linked proteins and stress granules. Scientific Reports. 5(1). 14262–14262. 26 indexed citations
6.
Collins, Mahlon, et al.. (2015). Total protein is an effective loading control for cerebrospinal fluid western blots. Journal of Neuroscience Methods. 251. 72–82. 44 indexed citations
7.
Collins, Mahlon, Jiyan An, Brian L. Hood, Thomas P. Conrads, & Robert Bowser. (2015). Label-Free LC–MS/MS Proteomic Analysis of Cerebrospinal Fluid Identifies Protein/Pathway Alterations and Candidate Biomarkers for Amyotrophic Lateral Sclerosis. Journal of Proteome Research. 14(11). 4486–4501. 76 indexed citations
9.
Oh, Justin D., et al.. (2006). Tamoxifen effect on L-DOPA induced response complications in parkinsonian rats and primates. Neuropharmacology. 52(2). 515–526. 15 indexed citations
10.
Bibbiani, Francesco, et al.. (2005). Combined blockade of AMPA and NMDA glutamate receptors reduces levodopa-induced motor complications in animal models of PD. Experimental Neurology. 196(2). 422–429. 98 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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