Abigail B. Radcliff

943 total citations · 1 hit paper
17 papers, 676 citations indexed

About

Abigail B. Radcliff is a scholar working on Molecular Biology, Neurology and Developmental Neuroscience. According to data from OpenAlex, Abigail B. Radcliff has authored 17 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Neurology and 5 papers in Developmental Neuroscience. Recurrent topics in Abigail B. Radcliff's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Multiple Sclerosis Research Studies (4 papers). Abigail B. Radcliff is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Multiple Sclerosis Research Studies (4 papers). Abigail B. Radcliff collaborates with scholars based in United States, Canada and Netherlands. Abigail B. Radcliff's co-authors include Ian D. Duncan, Benjamin K. August, Moones Heidari, Grahame J. Kidd, Michael G. Johnson, Robert D. Blank, Heidi H. Pak, Dudley W. Lamming, Deyang Yu and Victoria Flores and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Abigail B. Radcliff

16 papers receiving 670 citations

Hit Papers

Lifelong restriction of dietary branched-chain amino acid... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abigail B. Radcliff United States 9 287 211 163 151 109 17 676
Michael P. Fatt Canada 10 257 0.9× 179 0.8× 112 0.7× 143 0.9× 118 1.1× 11 618
Alexander D. Fellows United Kingdom 11 342 1.2× 52 0.2× 120 0.7× 237 1.6× 185 1.7× 14 858
Iris Schäffner Germany 9 388 1.4× 307 1.5× 81 0.5× 93 0.6× 142 1.3× 11 632
Jared T. Ahrendsen United States 11 234 0.8× 236 1.1× 216 1.3× 104 0.7× 137 1.3× 43 702
Methodios Ximerakis Greece 7 315 1.1× 75 0.4× 249 1.5× 131 0.9× 75 0.7× 7 621
Vilma Spreuer United States 16 316 1.1× 322 1.5× 185 1.1× 68 0.5× 314 2.9× 18 738
Vincent Tse United States 8 178 0.6× 56 0.3× 110 0.7× 55 0.4× 106 1.0× 12 485
Ceren Ozek United States 5 331 1.2× 90 0.4× 251 1.5× 125 0.8× 72 0.7× 5 619
Curtis M. Hay Australia 4 320 1.1× 286 1.4× 113 0.7× 29 0.2× 116 1.1× 5 565
Bhuvaneish T. Selvaraj United Kingdom 15 354 1.2× 93 0.4× 130 0.8× 113 0.7× 164 1.5× 30 709

Countries citing papers authored by Abigail B. Radcliff

Since Specialization
Citations

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

Fields of papers citing papers by Abigail B. Radcliff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abigail B. Radcliff. 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 Abigail B. Radcliff. The network helps show where Abigail B. Radcliff may publish in the future.

Co-authorship network of co-authors of Abigail B. Radcliff

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

All Works

17 of 17 papers shown
1.
Lash, James W., Sripad Ram, Abigail B. Radcliff, et al.. (2025). Chronic Intermittent Hypoxia Exposure Induces a Unique Microglial Transcriptome in 5XFAD Mice. Molecular Neurobiology. 63(1). 81–81.
2.
3.
Kermath, Bailey A., Abigail B. Radcliff, Mathew V. Jones, et al.. (2022). A feature of maternal sleep apnea during gestation causes autism-relevant neuronal and behavioral phenotypes in offspring. PLoS Biology. 20(2). e3001502–e3001502. 18 indexed citations
4.
Radcliff, Abigail B., et al.. (2022). Pharmacologic Microglial Depletion Disrupts Breathing and Body Temperature Regulation During Torpor in 13‐lined Ground Squirrels. The FASEB Journal. 36(S1). 1 indexed citations
5.
Richardson, Nicole E., Colin Boyle, Allison C. Rodgers, et al.. (2021). Lifelong restriction of dietary branched-chain amino acids has sex-specific benefits for frailty and life span in mice. Nature Aging. 1(1). 73–86. 170 indexed citations breakdown →
6.
Radcliff, Abigail B., Moones Heidari, Aaron S. Field, & Ian D. Duncan. (2020). Feline irradiated diet-induced demyelination; a model of the neuropathology of sub-acute combined degeneration?. PLoS ONE. 15(1). e0228109–e0228109. 4 indexed citations
7.
Kiernan, Elizabeth, et al.. (2020). Sex- and Region-Specific Differences in the Transcriptomes of Rat Microglia from the Brainstem and Cervical Spinal Cord. Journal of Pharmacology and Experimental Therapeutics. 375(1). 210–222. 10 indexed citations
8.
Duncan, Ian D. & Abigail B. Radcliff. (2020). Remyelination therapy for demyelinating disease. Nature Reviews Neurology. 16(6). 346–346. 3 indexed citations
9.
Heidari, Moones, Abigail B. Radcliff, Gillian J. McLellan, et al.. (2019). Evoked potentials as a biomarker of remyelination. Proceedings of the National Academy of Sciences. 116(52). 27074–27083. 47 indexed citations
10.
Duncan, Ian D., et al.. (2018). The adult oligodendrocyte can participate in remyelination. Proceedings of the National Academy of Sciences. 115(50). E11807–E11816. 192 indexed citations
11.
Johnson, Michael G., et al.. (2017). Spontaneous recombinase activity of Cre–ERT2 in vivo. Transgenic Research. 26(3). 411–417. 50 indexed citations
12.
Duncan, Ian D., Marianna Bugiani, Abigail B. Radcliff, et al.. (2017). A mutation in the Tubb4a gene leads to microtubule accumulation with hypomyelination and demyelination. Annals of Neurology. 81(5). 690–702. 44 indexed citations
13.
Johnson, Michael G., Forum Patel, Mital Patel, et al.. (2016). Congenic Strains Confirm the Pleiotropic Effect of Chromosome 4 QTL on Mouse Femoral Geometry and Biomechanical Performance. PLoS ONE. 11(2). e0148571–e0148571. 6 indexed citations
14.
Teixeira, Leandro B. C., James N. Ver Hoeve, Richard R. Dubielzig, et al.. (2016). Modeling the Chronic Loss of Optic Nerve Axons and the Effects on the Retinal Nerve Fiber Layer Structure in Primary Disorder of Myelin. Investigative Ophthalmology & Visual Science. 57(11). 4859–4859. 6 indexed citations
15.
Duncan, Ian D. & Abigail B. Radcliff. (2016). Inherited and acquired disorders of myelin: The underlying myelin pathology. Experimental Neurology. 283(Pt B). 452–475. 101 indexed citations
16.
Griffiths, Ian R., et al.. (2015). Modeling the natural history of Pelizaeus–Merzbacher disease. Neurobiology of Disease. 75. 115–130. 13 indexed citations
17.
Kondo, Yoichi, Abigail B. Radcliff, Sımona Baldassari, et al.. (2013). Spontaneous Optic Nerve Compression in the Osteopetrotic (op/op) Mouse: A Novel Model of Myelination Failure. Journal of Neuroscience. 33(8). 3514–3525. 8 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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