Peggy Allred

2.2k total citations · 1 hit paper
18 papers, 1.4k citations indexed

About

Peggy Allred is a scholar working on Neurology, Genetics and Molecular Biology. According to data from OpenAlex, Peggy Allred has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Neurology, 11 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Peggy Allred's work include Amyotrophic Lateral Sclerosis Research (12 papers), Neurogenetic and Muscular Disorders Research (11 papers) and biodegradable polymer synthesis and properties (3 papers). Peggy Allred is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (12 papers), Neurogenetic and Muscular Disorders Research (11 papers) and biodegradable polymer synthesis and properties (3 papers). Peggy Allred collaborates with scholars based in United States, United Kingdom and Mexico. Peggy Allred's co-authors include Alan Pestronk, Robert H. Baloh, Matthew B. Harms, Timothy M. Miller, Stanley H. Appel, Ericka Simpson, Alison Goate, Janet Cady, John Ravits and David Schoenfeld and has published in prestigious journals such as Neurology, Annals of Neurology and The Lancet Neurology.

In The Last Decade

Peggy Allred

18 papers receiving 1.4k citations

Hit Papers

An antisense oligonucleotide against SOD1 delivered intra... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peggy Allred United States 12 694 663 566 343 267 18 1.4k
Ericka Simpson United States 15 552 0.8× 757 1.1× 518 0.9× 313 0.9× 255 1.0× 26 1.6k
Serena Lattante Italy 23 771 1.1× 1.2k 1.8× 764 1.3× 422 1.2× 209 0.8× 54 1.8k
Melissa McAlonis‐Downes United States 16 807 1.2× 1.3k 2.0× 793 1.4× 327 1.0× 321 1.2× 18 1.8k
Shibi Likhite United States 15 928 1.3× 1.0k 1.5× 778 1.4× 364 1.1× 306 1.1× 36 1.9k
Jianwen Deng China 19 810 1.2× 651 1.0× 254 0.4× 162 0.5× 395 1.5× 85 1.4k
Nicole Hersmus Belgium 14 610 0.9× 644 1.0× 446 0.8× 179 0.5× 240 0.9× 19 1.2k
Basar Cenik United States 10 733 1.1× 930 1.4× 440 0.8× 148 0.4× 115 0.4× 13 1.4k
Giulietta Riboldi Italy 19 846 1.2× 432 0.7× 393 0.7× 133 0.4× 353 1.3× 43 1.4k
Sorana Ciura France 13 427 0.6× 726 1.1× 398 0.7× 156 0.5× 177 0.7× 19 1.1k
Jiasheng Zhang United States 13 590 0.9× 484 0.7× 126 0.2× 253 0.7× 178 0.7× 18 1.2k

Countries citing papers authored by Peggy Allred

Since Specialization
Citations

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

Fields of papers citing papers by Peggy Allred

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peggy Allred

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

All Works

18 of 18 papers shown
1.
Diaz, Frank, John S. Thornton, Stephen Wastling, et al.. (2024). Longitudinal Quantitative MRI Provides Responsive Outcome Measures for Early and Late Muscle Changes in ALS. Muscle & Nerve. 71(2). 171–182. 2 indexed citations
2.
Ly, Cindy V., Wade Self, James Bollinger, et al.. (2023). Protein kinetics of superoxide dismutase‐1 in familial and sporadic amyotrophic lateral sclerosis. Annals of Clinical and Translational Neurology. 10(6). 1012–1024. 7 indexed citations
3.
Clawson, Lora, Merit Cudkowicz, Lisa S. Krivickas, et al.. (2017). A randomized controlled trial of resistance and endurance exercise in amyotrophic lateral sclerosis. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 19(3-4). 250–258. 47 indexed citations
4.
Rushton, David J., Patricia L. Andres, Peggy Allred, Robert H. Baloh, & Clive N. Svendsen. (2017). Patients with ALS show highly correlated progression rates in left and right limb muscles. Neurology. 89(2). 196–206. 12 indexed citations
5.
Weihl, Conrad C., Robert H. Baloh, Youjin Lee, et al.. (2015). Targeted sequencing and identification of genetic variants in sporadic inclusion body myositis. Neuromuscular Disorders. 25(4). 289–296. 49 indexed citations
6.
Paganoni, Sabrina, Amy M. Shui, Peggy Allred, et al.. (2015). Pre‐morbid type 2 diabetes mellitus is not a prognostic factor in amyotrophic lateral sclerosis. Muscle & Nerve. 52(3). 339–343. 27 indexed citations
7.
Harms, Matthew, Janet Cady, Erica Koval, et al.. (2014). The TREM2 Variant p.R47H is a Risk Factor for Sporadic Amyotrophic Lateral Sclerosis (I5-2.002). Neurology. 82(10_supplement). 1 indexed citations
8.
Cady, Janet, Erica Koval, Bruno A. Benítez, et al.. (2014). TREM2Variant p.R47H as a Risk Factor for Sporadic Amyotrophic Lateral Sclerosis. JAMA Neurology. 71(4). 449–449. 214 indexed citations
9.
Harms, Matthew, Janet Cady, Erica Koval, et al.. (2014). The TREM2 Variant p.R47H is a Risk Factor for Sporadic Amyotrophic Lateral Sclerosis (I5-2.002). 82. 1 indexed citations
10.
Cady, Janet, Peggy Allred, Taha Bali, et al.. (2014). Amyotrophic lateral sclerosis onset is influenced by the burden of rare variants in known amyotrophic lateral sclerosis genes. Annals of Neurology. 77(1). 100–113. 150 indexed citations
11.
Miller, Timothy M., Alan Pestronk, William David, et al.. (2013). An antisense oligonucleotide against SOD1 delivered intrathecally for patients with SOD1 familial amyotrophic lateral sclerosis: a phase 1, randomised, first-in-man study. The Lancet Neurology. 12(5). 435–442. 492 indexed citations breakdown →
12.
Harms, Matthew B., Janet Cady, Craig M. Zaidman, et al.. (2013). Lack of C9ORF72 coding mutations supports a gain of function for repeat expansions in amyotrophic lateral sclerosis. Neurobiology of Aging. 34(9). 2234.e13–2234.e19. 58 indexed citations
13.
Sommerville, R. Brian, Peggy Allred, Shaughn Bell, et al.. (2012). Exome Sequencing Reveals DNAJB6 Mutations in Dominantly-Inherited Myopathy (S55.004). Neurology. 78(Meeting Abstracts 1). S55.004–S55.004. 2 indexed citations
14.
Harms, Matthew B., Kassandra M Ori-McKenney, Mariacristina Scoto, et al.. (2012). Mutations in the tail domain of DYNC1H1 cause dominant spinal muscular atrophy. Neurology. 78(22). 1714–1720. 148 indexed citations
16.
Harms, Matthew B., R. Brian Sommerville, Peggy Allred, et al.. (2011). Exome sequencing reveals DNAJB6 mutations in dominantly‐inherited myopathy. Annals of Neurology. 71(3). 407–416. 124 indexed citations
17.
Lopate, Glenn, Robert H. Baloh, Muhammad Al‐Lozi, et al.. (2010). Familial ALS with extreme phenotypic variability due to the I113T SOD1 mutation. Amyotrophic Lateral Sclerosis. 11(1-2). 232–236. 30 indexed citations
18.
Harms, Matthew B., Peggy Allred, R. J. M. Gardner, et al.. (2010). Dominant spinal muscular atrophy with lower extremity predominance. Neurology. 75(6). 539–546. 44 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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