Peter R. Ashby

812 total citations
10 papers, 703 citations indexed

About

Peter R. Ashby is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Peter R. Ashby has authored 10 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Peter R. Ashby's work include Muscle Physiology and Disorders (5 papers), Developmental Biology and Gene Regulation (3 papers) and Congenital heart defects research (3 papers). Peter R. Ashby is often cited by papers focused on Muscle Physiology and Disorders (5 papers), Developmental Biology and Gene Regulation (3 papers) and Congenital heart defects research (3 papers). Peter R. Ashby collaborates with scholars based in United Kingdom, New Zealand and United States. Peter R. Ashby's co-authors include Peter Rigby, J. Simon C. Arthur, AJ Harris, Lijun Yan, Dennis Summerbell, Siu‐Pok Yee, Oliver Coutelle, Christopher V.E. Wright, Albert F. Candia and Larysa Pevny and has published in prestigious journals such as Nature, The EMBO Journal and Development.

In The Last Decade

Peter R. Ashby

10 papers receiving 689 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter R. Ashby United Kingdom 8 622 134 69 49 48 10 703
Alexander B. Zhadanov United States 7 654 1.1× 253 1.9× 102 1.5× 70 1.4× 35 0.7× 7 855
William W. Branford United States 11 677 1.1× 195 1.5× 73 1.1× 48 1.0× 46 1.0× 11 820
Heather P. Ostendorff Germany 11 590 0.9× 160 1.2× 118 1.7× 83 1.7× 50 1.0× 14 778
Ombretta Pozzoli Italy 12 403 0.6× 101 0.8× 76 1.1× 36 0.7× 90 1.9× 14 526
Odile Bronchain France 15 621 1.0× 159 1.2× 125 1.8× 75 1.5× 43 0.9× 28 778
David C. Ludolph United States 7 472 0.8× 95 0.7× 56 0.8× 33 0.7× 34 0.7× 10 527
Viktoria Andreeva United States 9 438 0.7× 170 1.3× 35 0.5× 69 1.4× 31 0.6× 14 561
Natalia Molotkova United States 8 624 1.0× 215 1.6× 69 1.0× 44 0.9× 131 2.7× 9 753
Deena Small United States 16 586 0.9× 88 0.7× 110 1.6× 42 0.9× 69 1.4× 22 873
Ita Costello United Kingdom 15 796 1.3× 108 0.8× 59 0.9× 39 0.8× 81 1.7× 18 898

Countries citing papers authored by Peter R. Ashby

Since Specialization
Citations

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

Fields of papers citing papers by Peter R. Ashby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter R. Ashby. 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 Peter R. Ashby. The network helps show where Peter R. Ashby may publish in the future.

Co-authorship network of co-authors of Peter R. Ashby

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

All Works

10 of 10 papers shown
1.
Higgins, Larry G., et al.. (2012). Conditional Expression of Human PPARδand a Dominant Negative Variant of hPPARδ In Vivo. PPAR Research. 2012. 1–12. 5 indexed citations
2.
McManus, Edward J., Barry Collins, Peter R. Ashby, et al.. (2004). The in vivo role of PtdIns(3,4,5)P3 binding to PDK1 PH domain defined by knockin mutation. The EMBO Journal. 23(10). 2071–2082. 119 indexed citations
3.
Yan, Lijun, et al.. (2003). Knockout of ERK5 causes multiple defects in placental and embryonic development. BMC Developmental Biology. 3(1). 11–11. 122 indexed citations
4.
Ashby, Peter R., et al.. (2002). 18 Muscle and tendon pattern is altered independently of skeletal pattern in HoxD mutant limbs.. PubMed. 201(5). 422–422. 2 indexed citations
5.
Isaac, Alison, Martin J. Cohn, Peter R. Ashby, et al.. (2000). FGF and genes encoding transcription factors in early limb specification. Mechanisms of Development. 93(1-2). 41–48. 56 indexed citations
6.
Tanaka, Mikiko, Martin J. Cohn, Peter R. Ashby, et al.. (2000). Distribution of polarizing activity and potential for limb formation in mouse and chick embryos and possible relationships to polydactyly. Development. 127(18). 4011–4021. 50 indexed citations
8.
Mankoo, Baljinder S., Peter R. Ashby, Elena Grigorieva, et al.. (1999). Mox2 is a component of the genetic hierarchy controlling limb muscle development. Nature. 400(6739). 69–73. 152 indexed citations
9.
Ashby, Peter R., Martine Pinçon‐Raymond, & AJ Harris. (1993). Regulation of Myogenesis in Paralyzed Muscles in the Mouse Mutants peroneal muscular atrophy and muscular dysgenesis. Developmental Biology. 156(2). 529–536. 31 indexed citations
10.
Ashby, Peter R., Suzanne Wilson, & AJ Harris. (1993). Formation of Primary and Secondary Myotubes in Aneural Muscles in the Mouse Mutant peroneal muscular atrophy. Developmental Biology. 156(2). 519–528. 47 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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