Ashleigh M. Philp

12 papers receiving 581 citations

Hit Papers

Therapeutic targets in lung tissue remodelling and fibrosis2021202620222024202150100150

Peers

Ashleigh M. Philp
Comparison fields: 5 of 93
  • Molecular Biology 249
  • Physiology 168
  • Pulmonary and Respiratory Medicine 123
  • Cellular and Molecular Neuroscience 77
  • Cell Biology 56
Replace Jennifer M. Brazill with:
Jennifer M. Brazill United States
Weixi Wang China
Raghavendra Upadhya United States
Michal Cagalinec Slovakia
Tongmei Zhang China
Qingcui Zheng China
Ralf G. Rempe United States
Houari Abdesselem Qatar
Siyue Li China
Ashleigh M. Philp relative to Jennifer M. Brazill United States Jennifer M. Brazill's profile →
Citations per field
00.5×1.5×1.9×
Jennifer M. Brazill · 1×
Citations per year

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

14 of 14 papers shown
#WorkIndexed citations
1 0
2 0
3 10
4 8
5 33
6 17
7 36
8 33
9
Therapeutic targets in lung tissue remodelling and fibrosisbreakdown →
163
10 45
11 25
12 197
13 15
14
Sodium bicarbonate increases glucose uptake and mitochondrial biogenesis in C2C12 myotubes potentially via the transcriptional co-activator PGC-1α
2

About Ashleigh M. Philp

Ashleigh M. Philp is a scholar working on Aging, Rehabilitation and Geriatrics and Gerontology, having authored 14 papers that have together received 584 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (5 papers), Mitochondrial Function and Pathology (4 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Aging (20 citations), Geriatrics and Gerontology (31 citations) and Physiology (168 citations). Ashleigh M. Philp has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include James S. Trimmer, Philip M. Hansbro, Mikhail Melnik, Laxmi Kumar Parajuli, Juha Kuja‐Panula, Michael Kirmiz, Ryuichi Shigemoto, Melanie M. Cobb, Danielle Mandikian and Heikki Rauvala. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Physiology and Pharmacology & Therapeutics.

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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