Ashley L. Siegel

786 total citations
10 papers, 593 citations indexed

About

Ashley L. Siegel is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ashley L. Siegel has authored 10 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Surgery and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ashley L. Siegel's work include Muscle Physiology and Disorders (7 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Nerve injury and regeneration (3 papers). Ashley L. Siegel is often cited by papers focused on Muscle Physiology and Disorders (7 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Nerve injury and regeneration (3 papers). Ashley L. Siegel collaborates with scholars based in United States, Australia and Italy. Ashley L. Siegel's co-authors include DDW Cornelison, Peter D. Currie, Kevin E. Fisher, Kevin Atchison, George E. Davis, David Gurevich, Danny A. Stark, Rowan M. Karvas, Phong D. Nguyen and Yona Goldshmit and has published in prestigious journals such as Science, Development and Stem Cells.

In The Last Decade

Ashley L. Siegel

10 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashley L. Siegel United States 9 449 156 100 100 97 10 593
Chang-Ru Tsai United States 7 502 1.1× 90 0.6× 72 0.7× 128 1.3× 64 0.7× 13 694
Enrico Pierantozzi Italy 18 583 1.3× 113 0.7× 201 2.0× 73 0.7× 141 1.5× 32 842
Janice A. Dominov United States 17 832 1.9× 149 1.0× 159 1.6× 158 1.6× 91 0.9× 24 1.0k
Dmitry Stambolsky Russia 10 266 0.6× 96 0.6× 155 1.6× 92 0.9× 167 1.7× 17 538
Maryline Paris United States 13 495 1.1× 192 1.2× 112 1.1× 133 1.3× 121 1.2× 16 934
Adiv A. Johnson United States 14 501 1.1× 57 0.4× 84 0.8× 83 0.8× 113 1.2× 19 680
Fabian Kruse Germany 13 407 0.9× 76 0.5× 89 0.9× 68 0.7× 120 1.2× 15 650
Maura H. Parker United States 11 1.0k 2.3× 135 0.9× 103 1.0× 83 0.8× 52 0.5× 20 1.2k
Berhan Mandefro United States 14 609 1.4× 63 0.4× 87 0.9× 83 0.8× 134 1.4× 18 814
Hui Meng United States 17 593 1.3× 62 0.4× 145 1.4× 157 1.6× 106 1.1× 33 762

Countries citing papers authored by Ashley L. Siegel

Since Specialization
Citations

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

Fields of papers citing papers by Ashley L. Siegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashley L. Siegel. 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 Ashley L. Siegel. The network helps show where Ashley L. Siegel may publish in the future.

Co-authorship network of co-authors of Ashley L. Siegel

This figure shows the co-authorship network connecting the top 25 collaborators of Ashley L. Siegel. A scholar is included among the top collaborators of Ashley L. Siegel 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 Ashley L. Siegel. Ashley L. Siegel 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.
Goldshmit, Yona, Ashley L. Siegel, Phong D. Nguyen, et al.. (2018). Different Fgfs have distinct roles in regulating neurogenesis after spinal cord injury in zebrafish. Neural Development. 13(1). 24–24. 34 indexed citations
2.
Siegel, Ashley L., et al.. (2017). Methods for Observing and Quantifying Muscle Satellite Cell Motility and Invasion In Vitro. Methods in molecular biology. 1556. 303–315. 2 indexed citations
3.
Gurevich, David, Phong D. Nguyen, Ashley L. Siegel, et al.. (2016). Asymmetric division of clonal muscle stem cells coordinates muscle regeneration in vivo. Science. 353(6295). aad9969–aad9969. 115 indexed citations
4.
Goldshmit, Yona, Frisca Frisca, Alexander R. Pinto, et al.. (2014). Fgf2 improves functional recovery—decreasing gliosis and increasing radial glia and neural progenitor cells after spinal cord injury. Brain and Behavior. 4(2). 187–200. 71 indexed citations
5.
Siegel, Ashley L., David Gurevich, & Peter D. Currie. (2013). A myogenic precursor cell that could contribute to regeneration in zebrafish and its similarity to the satellite cell. FEBS Journal. 280(17). 4074–4088. 23 indexed citations
6.
Dick, Sarah A., Ashley L. Siegel, Kelly M. McNagny, et al.. (2011). CD34 Promotes Satellite Cell Motility and Entry into Proliferation to Facilitate Efficient Skeletal Muscle Regeneration. Stem Cells. 29(12). 2030–2041. 67 indexed citations
7.
Siegel, Ashley L., et al.. (2011). Muscle satellite cell proliferation and association: new insights from myofiber time-lapse imaging. Skeletal Muscle. 1(1). 7–7. 51 indexed citations
8.
Stark, Danny A., Rowan M. Karvas, Ashley L. Siegel, & DDW Cornelison. (2011). Eph/ephrin interactions modulate muscle satellite cell motility and patterning. Development. 138(24). 5279–5289. 61 indexed citations
9.
Siegel, Ashley L., Kevin Atchison, Kevin E. Fisher, George E. Davis, & DDW Cornelison. (2009). 3D Timelapse Analysis of Muscle Satellite Cell Motility. Stem Cells. 27(10). 2527–2538. 133 indexed citations
10.
Siegel, Ashley L., et al.. (2008). Treatment with inhibitors of the NF-κB pathway improves whole body tension development in the mdx mouse. Neuromuscular Disorders. 19(2). 131–139. 36 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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