Ashleigh M. Philp

1.1k total citations · 1 hit paper
14 papers, 584 citations indexed

About

Ashleigh M. Philp is a scholar working on Molecular Biology, Physiology and Rehabilitation. According to data from OpenAlex, Ashleigh M. Philp has authored 14 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Physiology and 3 papers in Rehabilitation. Recurrent topics in Ashleigh M. Philp's work include Adipose Tissue and Metabolism (5 papers), Mitochondrial Function and Pathology (4 papers) and Muscle Physiology and Disorders (3 papers). Ashleigh M. Philp is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Mitochondrial Function and Pathology (4 papers) and Muscle Physiology and Disorders (3 papers). Ashleigh M. Philp collaborates with scholars based in Australia, United Kingdom and United States. Ashleigh M. Philp's co-authors include James S. Trimmer, Philip M. Hansbro, Juha Kuja‐Panula, Mikhail Melnik, Michael Kirmiz, Hannah I. Bishop, Heikki Rauvala, Karl D. Murray, Ryuichi Shigemoto and Melanie M. Cobb and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Physiology and Pharmacology & Therapeutics.

In The Last Decade

Ashleigh M. Philp

12 papers receiving 581 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Therapeutic targets in lung tissue remodelling and fibrosis

2021 163 citations Gang Liu, Ashleigh M. Philp et al. Pharmacology & Therapeutics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ashleigh M. Philp Australia	10	249	168	123	77	56	14	584
Xiang Gu China	16	353 1.4×	122 0.7×	70 0.6×	94 1.2×	65 1.2×	43	714
Jennifer M. Brazill United States	12	303 1.2×	98 0.6×	66 0.5×	72 0.9×	33 0.6×	17	596
Wanlin Yang China	15	256 1.0×	136 0.8×	39 0.3×	144 1.9×	57 1.0×	36	706
Weixi Wang China	14	364 1.5×	130 0.8×	58 0.5×	73 0.9×	23 0.4×	21	709
Qingcui Zheng China	10	246 1.0×	178 1.1×	56 0.5×	49 0.6×	39 0.7×	12	493
Ralf G. Rempe United States	8	255 1.0×	150 0.9×	44 0.4×	90 1.2×	31 0.6×	9	854
Jan Henryk Spodnik Poland	15	273 1.1×	60 0.4×	34 0.3×	105 1.4×	41 0.7×	53	607
Nathalie M. Malewicz Germany	11	208 0.8×	207 1.2×	34 0.3×	89 1.2×	23 0.4×	20	547
Jae Ryong Lim South Korea	13	289 1.2×	124 0.7×	27 0.2×	43 0.6×	59 1.1×	17	617

Countries citing papers authored by Ashleigh M. Philp

Since Specialization

Citations

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

Fields of papers citing papers by Ashleigh M. Philp

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashleigh M. Philp

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

All Works

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14 of 14 papers shown

Tahmasbpour, Eisa, Ashleigh M. Philp, Claire Thomson, et al.. (2025). Proteomic Analysis of Transbronchial Biopsies to Discover Novel Biomarkers for Early Identification of Chronic Lung Allograft Dysfunction. Transplantation Direct. 11(6). e1800–e1800.

Arnold, Antje, et al.. (2025). When used for veterinary triage, artificial intelligence models recognise emergencies but are more likely than veterinary staff to flag non‐urgent cases as urgent. Veterinary Record. 198(2). e46–e53.

Koay, Yen Chin, Ren Ping Liu, Dylan Harney, et al.. (2024). The Efficacy of Risk Factor Modification Compared to NAD+ Repletion in Diastolic Heart Failure. JACC Basic to Translational Science. 9(6). 733–750. 10 indexed citations

Wang, Guoqiang, et al.. (2022). Mitochondrial succinate dehydrogenase function is essential for sperm motility and male fertility. iScience. 25(12). 105573–105573. 8 indexed citations

Saner, Nicholas J., et al.. (2022). The importance of mitochondrial quality control for maintaining skeletal muscle function across health span. American Journal of Physiology-Cell Physiology. 322(3). C461–C467. 33 indexed citations

Ashcroft, Stephen P., G. T. Fletcher, Ashleigh M. Philp, et al.. (2021). Diet-induced vitamin D deficiency reduces skeletal muscle mitochondrial respiration. Journal of Endocrinology. 249(2). 113–124. 17 indexed citations

Stocks, Ben, Stephen P. Ashcroft, Sophie Joanisse, et al.. (2021). Nicotinamide riboside supplementation does not alter whole‐body or skeletal muscle metabolic responses to a single bout of endurance exercise. The Journal of Physiology. 599(5). 1513–1531. 36 indexed citations

Hewitt, Jennifer, Roberta Torregrossa, Ashleigh M. Philp, et al.. (2021). Mitochondrial hydrogen sulfide supplementation improves health in the C. elegans Duchenne muscular dystrophy model. Proceedings of the National Academy of Sciences. 118(9). 33 indexed citations

Liu, Gang, Ashleigh M. Philp, Tamera J. Corte, et al.. (2021). Therapeutic targets in lung tissue remodelling and fibrosis. Pharmacology & Therapeutics. 225. 107839–107839. 163 indexed citations breakdown →

10.

Philp, Ashleigh M., et al.. (2020). The influence of aerobic exercise on mitochondrial quality control in skeletal muscle. The Journal of Physiology. 599(14). 3463–3476. 45 indexed citations

11.

Hardee, Justin P., Paula M. Miotto, James G. Ryall, et al.. (2020). Metabolic remodeling of dystrophic skeletal muscle reveals biological roles for dystrophin and utrophin in adaptation and plasticity. Molecular Metabolism. 45. 101157–101157. 25 indexed citations

12.

Bishop, Hannah I., Melanie M. Cobb, Michael Kirmiz, et al.. (2018). Kv2 Ion Channels Determine the Expression and Localization of the Associated AMIGO-1 Cell Adhesion Molecule in Adult Brain Neurons. Frontiers in Molecular Neuroscience. 11. 1–1. 197 indexed citations

13.

Riquelme, D., Ashleigh M. Philp, J. Pablo Huidobro‐Toro, et al.. (2018). Subcellular Localization and Activity of TRPM4 in Medial Prefrontal Cortex Layer 2/3. Frontiers in Cellular Neuroscience. 12. 12–12. 15 indexed citations

14.

Pérez‐Schindler, Joaquín, Ashleigh M. Philp, & Keith Baar. (2009). Sodium bicarbonate increases glucose uptake and mitochondrial biogenesis in C2C12 myotubes potentially via the transcriptional co-activator PGC-1α. Proceedings of The Physiological Society. 2 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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