Jacob I. Ayers

2.1k total citations
40 papers, 1.5k citations indexed

About

Jacob I. Ayers is a scholar working on Neurology, Molecular Biology and Physiology. According to data from OpenAlex, Jacob I. Ayers has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Neurology, 22 papers in Molecular Biology and 13 papers in Physiology. Recurrent topics in Jacob I. Ayers's work include Prion Diseases and Protein Misfolding (19 papers), Amyotrophic Lateral Sclerosis Research (19 papers) and Alzheimer's disease research and treatments (12 papers). Jacob I. Ayers is often cited by papers focused on Prion Diseases and Protein Misfolding (19 papers), Amyotrophic Lateral Sclerosis Research (19 papers) and Alzheimer's disease research and treatments (12 papers). Jacob I. Ayers collaborates with scholars based in United States, Canada and Switzerland. Jacob I. Ayers's co-authors include David Borchelt, Benoit I. Giasson, Jason C. Bartz, Anthony E. Kincaid, Susan Fromholt, Stanley B. Prusiner, Mieu Brooks, Ronald A. Shikiya, Charles R. Schutt and Guilian Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Jacob I. Ayers

38 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacob I. Ayers United States 21 856 833 485 424 229 40 1.5k
Siân C. Barber United Kingdom 10 554 0.6× 910 1.1× 234 0.5× 263 0.6× 166 0.7× 12 1.4k
Hoon Shim United States 15 520 0.6× 754 0.9× 228 0.5× 244 0.6× 434 1.9× 20 1.3k
Faisal Fecto United States 13 669 0.8× 984 1.2× 314 0.6× 238 0.6× 287 1.3× 19 1.6k
Sandra Minotti Canada 20 839 1.0× 865 1.0× 272 0.6× 258 0.6× 338 1.5× 29 1.6k
Joshua A. Knight United States 11 575 0.7× 570 0.7× 292 0.6× 742 1.8× 335 1.5× 17 1.5k
Carol Milligan United States 19 517 0.6× 652 0.8× 185 0.4× 182 0.4× 248 1.1× 33 1.2k
Fernando G. Vieira United States 17 516 0.6× 969 1.2× 184 0.4× 180 0.4× 226 1.0× 31 1.4k
Robert D. Dayton United States 20 682 0.8× 380 0.5× 116 0.2× 235 0.6× 354 1.5× 35 1.3k
Hyung‐Jun Kim South Korea 17 643 0.8× 575 0.7× 130 0.3× 248 0.6× 197 0.9× 40 1.2k
Owen M. Peters United Kingdom 21 466 0.5× 685 0.8× 164 0.3× 305 0.7× 342 1.5× 28 1.2k

Countries citing papers authored by Jacob I. Ayers

Since Specialization
Citations

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

Fields of papers citing papers by Jacob I. Ayers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob I. Ayers. 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 Jacob I. Ayers. The network helps show where Jacob I. Ayers may publish in the future.

Co-authorship network of co-authors of Jacob I. Ayers

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob I. Ayers. A scholar is included among the top collaborators of Jacob I. Ayers 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 Jacob I. Ayers. Jacob I. Ayers 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.
Ayers, Jacob I., et al.. (2025). Correlation Between Fungal and Bacterial Populations in Periodontitis Through Targeted Sequencing: A Pilot Study. Journal of Clinical Medicine. 14(18). 6418–6418.
2.
3.
Ayers, Jacob I., Theresa Lopez, Abby Oehler, et al.. (2024). Severe neurodegeneration in brains of transgenic rats producing human tau prions. Acta Neuropathologica. 148(1). 25–25. 2 indexed citations
4.
Ayers, Jacob I., et al.. (2023). Multiple Factors Influence the Incubation Period of ALS Prion-like Transmission in SOD1 Transgenic Mice. Viruses. 15(9). 1819–1819. 1 indexed citations
5.
Lester, Evan, Felicia K. Ooi, Nadine Bakkar, et al.. (2021). Tau aggregates are RNA-protein assemblies that mislocalize multiple nuclear speckle components. Neuron. 109(10). 1675–1691.e9. 129 indexed citations
6.
Ayers, Jacob I. & Stanley B. Prusiner. (2020). Prion protein — mediator of toxicity in multiple proteinopathies. Nature Reviews Neurology. 16(4). 187–188. 5 indexed citations
7.
Xia, Yuxing, Zhijuan Chen, Guilian Xu, et al.. (2020). Novel SOD1 monoclonal antibodies against the electrostatic loop preferentially detect misfolded SOD1 aggregates. Neuroscience Letters. 742. 135553–135553. 3 indexed citations
8.
Ayers, Jacob I. & David Borchelt. (2020). Phenotypic diversity in ALS and the role of poly-conformational protein misfolding. Acta Neuropathologica. 142(1). 41–55. 13 indexed citations
9.
Bartz, Jason C., Jacob I. Ayers, Benoit I. Giasson, et al.. (2018). Adsorption and decontamination of α-synuclein from medically and environmentally-relevant surfaces. Colloids and Surfaces B Biointerfaces. 166. 98–107. 4 indexed citations
10.
Ayers, Jacob I., Kristen Skruber, Hilda Brown, et al.. (2018). ALS-Linked SOD1 Mutants Enhance Neurite Outgrowth and Branching in Adult Motor Neurons. iScience. 11. 294–304. 32 indexed citations
11.
12.
Ayers, Jacob I., Benoit I. Giasson, & David Borchelt. (2017). Prion-like Spreading in Tauopathies. Biological Psychiatry. 83(4). 337–346. 70 indexed citations
13.
Abdolvahabi, Alireza, et al.. (2017). Lysine acylation in superoxide dismutase-1 electrostatically inhibits formation of fibrils with prion-like seeding. Journal of Biological Chemistry. 292(47). 19366–19380. 27 indexed citations
14.
Ayers, Jacob I., Benjamin H. McMahon, Sabrina Gill, et al.. (2016). Relationship between mutant Cu/Zn superoxide dismutase 1 maturation and inclusion formation in cell models. Journal of Neurochemistry. 140(1). 140–150. 17 indexed citations
15.
Ayers, Jacob I., Susan Fromholt, Ahmad Galaleldeen, et al.. (2016). Distinct conformers of transmissible misfolded SOD1 distinguish human SOD1-FALS from other forms of familial and sporadic ALS. Acta Neuropathologica. 132(6). 827–840. 38 indexed citations
16.
Xu, Guilian, Jacob I. Ayers, Hilda Brown, et al.. (2014). Direct and indirect mechanisms for wild-type SOD1 to enhance the toxicity of mutant SOD1 in bigenic transgenic mice. Human Molecular Genetics. 24(4). 1019–1035. 14 indexed citations
17.
Ayers, Jacob I., Guilian Xu, Olga Pletniková, et al.. (2014). Conformational specificity of the C4F6 SOD1 antibody; low frequency of reactivity in sporadic ALS cases. Acta Neuropathologica Communications. 2(1). 55–55. 45 indexed citations
18.
Ayers, Jacob I., et al.. (2014). Experimental transmissibility of mutant SOD1 motor neuron disease. Acta Neuropathologica. 128(6). 791–803. 101 indexed citations
19.
Ayers, Jacob I., Susan Fromholt, Zoe Siemienski, et al.. (2014). Widespread and Efficient Transduction of Spinal Cord and Brain Following Neonatal AAV Injection and Potential Disease Modifying Effect in ALS Mice. Molecular Therapy. 23(1). 53–62. 55 indexed citations
20.
Ayers, Jacob I., Charles R. Schutt, Ronald A. Shikiya, et al.. (2011). The Strain-Encoded Relationship between PrPSc Replication, Stability and Processing in Neurons is Predictive of the Incubation Period of Disease. PLoS Pathogens. 7(3). e1001317–e1001317. 100 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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