Elizabeth A. Proctor

2.8k total citations
57 papers, 1.6k citations indexed

About

Elizabeth A. Proctor is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Elizabeth A. Proctor has authored 57 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 14 papers in Neurology and 14 papers in Physiology. Recurrent topics in Elizabeth A. Proctor's work include Alzheimer's disease research and treatments (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers) and Amyotrophic Lateral Sclerosis Research (9 papers). Elizabeth A. Proctor is often cited by papers focused on Alzheimer's disease research and treatments (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers) and Amyotrophic Lateral Sclerosis Research (9 papers). Elizabeth A. Proctor collaborates with scholars based in United States, Iran and India. Elizabeth A. Proctor's co-authors include Nikolay V. Dokholyan, Feng Ding, Douglas A. Lauffenburger, Rachel L. Redler, Rebecca M. Fleeman, Farzin Haque, Alexander E. Ribbe, Jennifer S. Hovis, Shuangye Yin and Lanette Fee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Elizabeth A. Proctor

53 papers receiving 1.5k citations

Peers

Elizabeth A. Proctor
Seonghan Kim South Korea
Seema Qamar United Kingdom
Joseph W. Arndt United States
Elizabeth A. Proctor
Citations per year, relative to Elizabeth A. Proctor Elizabeth A. Proctor (= 1×) peers Joana D. Amaral

Countries citing papers authored by Elizabeth A. Proctor

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth A. Proctor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth A. Proctor

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

All Works

20 of 20 papers shown
1.
Proctor, Elizabeth A., et al.. (2024). Microglial Drivers of Alzheimer's Disease Pathology: An Evolution of Diverse Participating States. Proteins Structure Function and Bioinformatics. 93(8). 1330–1348. 2 indexed citations
2.
Neely, Elizabeth, et al.. (2024). A common variant in the iron regulatory gene ( Hfe ) alters the metabolic and transcriptional landscape in brain regions vulnerable to neurodegeneration. Journal of Neurochemistry. 168(9). 3132–3153. 1 indexed citations
3.
Proctor, Elizabeth A., et al.. (2024). Differential responses of primary neuron-secreted MCP-1 and IL-9 to type 2 diabetes and Alzheimer’s disease-associated metabolites. Scientific Reports. 14(1). 12743–12743. 6 indexed citations
4.
Khristov, Vladimir, Laura J. Liermann, Dongxiang Wang, et al.. (2024). Analysis of transition metals in glioblastoma tumor and plasma samples.. Journal of Clinical Oncology. 42(16_suppl). e14029–e14029.
6.
Chan, Dennis, et al.. (2023). Th17 cells of type 2 diabetic patients present an aberrant fatty acid metabolic pathway. The Journal of Immunology. 210(Supplement_1). 79.04–79.04.
7.
Proctor, Elizabeth A., Shauna M. Dineen, Christopher D. Barrett, et al.. (2020). Coagulopathy signature precedes and predicts severity of end‐organ heat stroke pathology in a mouse model. Journal of Thrombosis and Haemostasis. 18(8). 1900–1910. 32 indexed citations
8.
Brubaker, Douglas K., Elizabeth A. Proctor, Kevin M. Haigis, & Douglas A. Lauffenburger. (2019). Computational translation of genomic responses from experimental model systems to humans. PLoS Computational Biology. 15(1). e1006286–e1006286. 32 indexed citations
9.
Nicholas, Dequina, Elizabeth A. Proctor, Madhur Agrawal, et al.. (2019). Fatty Acid Metabolites Combine with Reduced β Oxidation to Activate Th17 Inflammation in Human Type 2 Diabetes. Cell Metabolism. 30(3). 447–461.e5. 104 indexed citations
10.
Nicholas, Dequina, Elizabeth A. Proctor, Blanche C. Ip, et al.. (2017). Advances in the quantification of mitochondrial function in primary human immune cells through extracellular flux analysis. PLoS ONE. 12(2). e0170975–e0170975. 54 indexed citations
11.
Fay, James M., Cheng Zhu, Elizabeth A. Proctor, et al.. (2016). A Phosphomimetic Mutation Stabilizes SOD1 and Rescues Cell Viability in the Context of an ALS-Associated Mutation. Structure. 24(11). 1898–1906. 36 indexed citations
12.
Proctor, Elizabeth A., Lanette Fee, Yazhong Tao, et al.. (2015). Nonnative SOD1 trimer is toxic to motor neurons in a model of amyotrophic lateral sclerosis. Proceedings of the National Academy of Sciences. 113(3). 614–619. 96 indexed citations
13.
Wood, Levi B., Ashley R. Winslow, Elizabeth A. Proctor, et al.. (2015). Identification of neurotoxic cytokines by profiling Alzheimer’s disease tissues and neuron culture viability screening. Scientific Reports. 5(1). 16622–16622. 55 indexed citations
14.
Dokholyan, Nikolay V., Rachel L. Redler, Elizabeth A. Proctor, et al.. (2014). Post-Translational Modifications Promote Formation of SOD1 Oligomers with Potential Toxicity in ALS. Biophysical Journal. 106(2). 33a–34a. 1 indexed citations
15.
Redler, Rachel L., et al.. (2014). Cu,Zn-Superoxide Dismutase without Zn Is Folded but Catalytically Inactive. Journal of Molecular Biology. 426(24). 4112–4124. 48 indexed citations
16.
Proctor, Elizabeth A., Pradeep Kota, Stephen J. Demarest, Justin A. Caravella, & Nikolay V. Dokholyan. (2013). Highly covarying residues have a functional role in antibody constant domains. Proteins Structure Function and Bioinformatics. 81(5). 884–895. 5 indexed citations
17.
Hadi‐Alijanvand, Hamid, Elizabeth A. Proctor, Bahram Goliaei, Nikolay V. Dokholyan, & Ali Akbar Moosavi‐Movahedi. (2012). Thermal Unfolding Pathway of PHD2 Catalytic Domain in Three Different PHD2 Species: Computational Approaches. PLoS ONE. 7(10). e47061–e47061. 4 indexed citations
18.
Proctor, Elizabeth A., Shuangye Yin, Alexander Tropsha, & Nikolay V. Dokholyan. (2012). Discrete Molecular Dynamics Distinguishes Nativelike Binding Poses from Decoys in Difficult Targets. Biophysical Journal. 102(1). 144–151. 29 indexed citations
19.
Dağliyan, Onur, et al.. (2011). Structural and Dynamic Determinants of Protein-Peptide Recognition. Structure. 19(12). 1837–1845. 80 indexed citations
20.
Hall, Geoffrey, et al.. (1972). Cataracts after renal transplantation.. BMJ. 3(5824). 469.2–469. 5 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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