Amanda Jernigan

437 total citations
10 papers, 367 citations indexed

About

Amanda Jernigan is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Amanda Jernigan has authored 10 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Neurology and 4 papers in Genetics. Recurrent topics in Amanda Jernigan's work include Amyotrophic Lateral Sclerosis Research (5 papers), Neurogenetic and Muscular Disorders Research (4 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Amanda Jernigan is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (5 papers), Neurogenetic and Muscular Disorders Research (4 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). Amanda Jernigan collaborates with scholars based in United States. Amanda Jernigan's co-authors include Holly Van Remmen, Alex Bokov, Arunabh Bhattacharya, Arlan Richardson, Adam B. Salmon, Hang Zhao, Rodney L. Levine, Geumsoo Kim, Viviana Pérez and Asish R. Chaudhuri and has published in prestigious journals such as The FASEB Journal, Biochemical and Biophysical Research Communications and Free Radical Biology and Medicine.

In The Last Decade

Amanda Jernigan

10 papers receiving 363 citations

Peers

Amanda Jernigan
Bryan Martinez United States
Viktoriya Peeva Germany
Jung Hee Shim South Korea
Joanie Mok United States
Marion C. Hogg Ireland
Yasmine J. Liu Netherlands
João Victor Cabral‐Costa Brazil
Fengjuan Jiao China
Timothy J. Tracey Australia
Matthew S. Geddis United States
Bryan Martinez United States
Amanda Jernigan
Citations per year, relative to Amanda Jernigan Amanda Jernigan (= 1×) peers Bryan Martinez

Countries citing papers authored by Amanda Jernigan

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Jernigan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda Jernigan

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda Jernigan. A scholar is included among the top collaborators of Amanda Jernigan 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 Amanda Jernigan. Amanda Jernigan 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.
Baweja, Raman, et al.. (2024). Synthetic Marijuana: Assessment of Usage, Motivation and Associated Risks in Adolescent Substance Users. PubMed. 18. 3337187698–3337187698. 2 indexed citations
2.
Bhattacharya, Arunabh, Amanda Jernigan, Yiqiang Zhang, et al.. (2013). Genetic ablation of 12/15-lipoxygenase but not 5-lipoxygenase protects against denervation-induced muscle atrophy. Free Radical Biology and Medicine. 67. 30–40. 39 indexed citations
3.
Bhattacharya, Arunabh, et al.. (2013). Differential effects of mutant SOD1 on protein structure of skeletal muscle and spinal cord of familial amyotrophic lateral sclerosis: Role of chaperone network. Biochemical and Biophysical Research Communications. 438(1). 218–223. 10 indexed citations
4.
Shi, Yun, Daniel Pulliam, Yuhong Liu, et al.. (2013). Reduced mitochondrial ROS, enhanced antioxidant defense, and distinct age-related changes in oxidative damage in muscles of long-lived Peromyscus leucopus. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 304(5). R343–R355. 37 indexed citations
5.
Bhattacharya, Arunabh, et al.. (2012). Protein misfolding, mitochondrial dysfunction and muscle loss are not directly dependent on soluble and aggregation state of mSOD1 protein in skeletal muscle of ALS. Biochemical and Biophysical Research Communications. 417(4). 1275–1279. 17 indexed citations
6.
Bhattacharya, Arunabh, Alex Bokov, Florian L. Müller, et al.. (2011). Dietary restriction but not rapamycin extends disease onset and survival of the H46R/H48Q mouse model of ALS. Neurobiology of Aging. 33(8). 1829–1832. 45 indexed citations
7.
Liang, Huiyun, Walter F. Ward, Youngmok C. Jang, et al.. (2011). PGC‐1α protects neurons and alters disease progression in an amyotrophic lateral sclerosis mouse model. Muscle & Nerve. 44(6). 947–956. 60 indexed citations
8.
Bhattacharya, Arunabh, Michael S. Lustgarten, Yun Shi, et al.. (2010). Increased mitochondrial matrix-directed superoxide production by fatty acid hydroperoxides in skeletal muscle mitochondria. Free Radical Biology and Medicine. 50(5). 592–601. 22 indexed citations
9.
Salmon, Adam B., Viviana Pérez, Alex Bokov, et al.. (2009). Lack of methionine sulfoxide reductase A in mice increases sensitivity to oxidative stress but does not diminish life span. The FASEB Journal. 23(10). 3601–3608. 114 indexed citations
10.
Müller, Florian L., Yuhong Liu, Amanda Jernigan, et al.. (2008). MnSOD deficiency has a differential effect on disease progression in two different ALS mutant mouse models. Muscle & Nerve. 38(3). 1173–1183. 21 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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2026