Ashleigh Miller

407 total citations
8 papers, 338 citations indexed

About

Ashleigh Miller is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ashleigh Miller has authored 8 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ashleigh Miller's work include Genetic factors in colorectal cancer (4 papers), DNA Repair Mechanisms (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Ashleigh Miller is often cited by papers focused on Genetic factors in colorectal cancer (4 papers), DNA Repair Mechanisms (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). Ashleigh Miller collaborates with scholars based in United States, India and Canada. Ashleigh Miller's co-authors include Christopher G. Thomas, Gary L. Westbrook, Malcolm J. Sheardown, J. Davies, R. Michael Liskay, Darryl Shibata, Jared M. Fischer, Sandra Dudley, Nina M. Muñoz and Peter Calabrese and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Physiology.

In The Last Decade

Ashleigh Miller

7 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ashleigh Miller United States	6	246	173	75	50	32	8	338
Xiaojuan Zhou United States	11	211 0.9×	181 1.0×	79 1.1×	31 0.6×	34 1.1×	17	337
Cristina Viaggi Italy	12	125 0.5×	117 0.7×	73 1.0×	25 0.5×	30 0.9×	23	370
Alexia Paucard France	10	199 0.8×	163 0.9×	26 0.3×	50 1.0×	14 0.4×	13	366
Vincent Armand France	12	287 1.2×	260 1.5×	66 0.9×	22 0.4×	12 0.4×	16	459
Shanti Frausto United States	10	231 0.9×	185 1.1×	56 0.7×	34 0.7×	41 1.3×	12	391
Sabita Bandyopadhyay United States	9	330 1.3×	304 1.8×	80 1.1×	37 0.7×	38 1.2×	11	534
Zhaoqing Zheng United States	14	197 0.8×	262 1.5×	71 0.9×	83 1.7×	68 2.1×	28	486
Bettina Buchthal Germany	8	234 1.0×	224 1.3×	32 0.4×	87 1.7×	43 1.3×	8	434
Kazuho Abe Japan	8	236 1.0×	174 1.0×	95 1.3×	53 1.1×	55 1.7×	9	384
Marie‐Françoise Diebler France	11	291 1.2×	298 1.7×	44 0.6×	24 0.5×	22 0.7×	14	453

Countries citing papers authored by Ashleigh Miller

Since Specialization

Citations

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

Fields of papers citing papers by Ashleigh Miller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashleigh Miller

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

All Works

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8 of 8 papers shown

Eide, Christopher A., Stephen E. Kurtz, Andy Kaempf, et al.. (2025). A rapid gene expression profiler predicts tumor responsiveness and patient outcome for standard-of-care therapies in acute myeloid leukemia. Blood. 146(Supplement 1). 657–657.

Fischer, Jared M., Peter Calabrese, Ashleigh Miller, et al.. (2016). Single cell lineage tracing reveals a role for TgfβR2 in intestinal stem cell dynamics and differentiation. Proceedings of the National Academy of Sciences. 113(43). 12192–12197. 18 indexed citations

Fischer, Jared M., Sandra Dudley, Ashleigh Miller, & R. Michael Liskay. (2015). An intact Pms2 ATPase domain is not essential for male fertility. DNA repair. 39. 46–51. 6 indexed citations

Fischer, Jared M., Ashleigh Miller, Darryl Shibata, & R. Michael Liskay. (2011). Different phenotypic consequences of simultaneous versus stepwise Apc loss. Oncogene. 31(16). 2028–2038. 16 indexed citations

Thomas, Scott, Kenneth T. Thurn, Ashleigh Miller, et al.. (2009). Abstract C1: HDAC inhibitors trigger the autophagic switch from prosurvival to prodeath in tamoxifen-treated breast cancer cells. Molecular Cancer Therapeutics. 8(12_Supplement). C1–C1. 1 indexed citations

Miller, Ashleigh, et al.. (2008). Tractable Cre-lox system for stochastic alteration of genes in mice. Nature Methods. 5(3). 227–229. 21 indexed citations

Thomas, Christopher G., Ashleigh Miller, & Gary L. Westbrook. (2005). Synaptic and Extrasynaptic NMDA Receptor NR2 Subunits in Cultured Hippocampal Neurons. Journal of Neurophysiology. 95(3). 1727–1734. 236 indexed citations

Davies, J., Ashleigh Miller, & Malcolm J. Sheardown. (1986). Amino acid receptor mediated excitatory synaptic transmission in the cat red nucleus.. The Journal of Physiology. 376(1). 13–29. 40 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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