Micah T. Webster

1.1k total citations
12 papers, 838 citations indexed

About

Micah T. Webster is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Micah T. Webster has authored 12 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Surgery. Recurrent topics in Micah T. Webster's work include Muscle Physiology and Disorders (8 papers), Neurogenetic and Muscular Disorders Research (3 papers) and RNA Research and Splicing (3 papers). Micah T. Webster is often cited by papers focused on Muscle Physiology and Disorders (8 papers), Neurogenetic and Muscular Disorders Research (3 papers) and RNA Research and Splicing (3 papers). Micah T. Webster collaborates with scholars based in United States, Germany and Canada. Micah T. Webster's co-authors include Orna Cohen‐Fix, Keren L. Witkin, Chen‐Ming Fan, Jennifer Lippincott‐Schwartz, Uri Manor, J. Michael McCaffery, Kimberly Long, Shaun Cote, Joseph P. Stains and Adriana Donovan and has published in prestigious journals such as The Journal of Cell Biology, PLoS ONE and Cancer Research.

In The Last Decade

Micah T. Webster

12 papers receiving 820 citations

Peers

Micah T. Webster
Thomas Geuens Netherlands
Natalie Kim United States
Xiaozhong Shi United States
Chang-Ru Tsai United States
Hassina Benchabane United States
Tatiana V. Cohen United States
Fabian Kruse Germany
Thomas Geuens Netherlands
Micah T. Webster
Citations per year, relative to Micah T. Webster Micah T. Webster (= 1×) peers Thomas Geuens

Countries citing papers authored by Micah T. Webster

Since Specialization
Citations

This map shows the geographic impact of Micah T. Webster'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 Micah T. Webster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Micah T. Webster more than expected).

Fields of papers citing papers by Micah T. Webster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Micah T. Webster. 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 Micah T. Webster. The network helps show where Micah T. Webster may publish in the future.

Co-authorship network of co-authors of Micah T. Webster

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

All Works

12 of 12 papers shown
1.
Bigford, Gregory E., Adriana Donovan, Micah T. Webster, W. Dalton Dietrich, & Mark S. Nash. (2021). Selective Myostatin Inhibition Spares Sublesional Muscle Mass and Myopenia-Related Dysfunction after Severe Spinal Cord Contusion in Mice. Journal of Neurotrauma. 38(24). 3440–3455. 3 indexed citations
2.
Pirruccello, Michelle, Justin Jackson, Stefan Wawersik, et al.. (2018). Blocking extracellular activation of myostatin as a strategy for treating muscle wasting. Scientific Reports. 8(1). 2292–2292. 71 indexed citations
3.
Long, Kimberly, Karen M. O’Shea, Ramzi J. Khairallah, et al.. (2018). Specific inhibition of myostatin activation is beneficial in mouse models of SMA therapy. Human Molecular Genetics. 28(7). 1076–1089. 82 indexed citations
4.
Webster, Micah T., Tyler Harvey, & Chen‐Ming Fan. (2016). Quantitative 3D Time Lapse Imaging of Muscle Progenitors in Skeletal Muscle of Live Mice. BIO-PROTOCOL. 6(24). 2 indexed citations
5.
Webster, Micah T., Uri Manor, Jennifer Lippincott‐Schwartz, & Chen‐Ming Fan. (2015). Intravital Imaging Reveals Ghost Fibers as Architectural Units Guiding Myogenic Progenitors during Regeneration. Cell stem cell. 18(2). 243–252. 161 indexed citations
6.
Mater, David Van, Jordan M. Blum, Micah T. Webster, et al.. (2014). Acute Tissue Injury Activates Satellite Cells and Promotes Sarcoma Formation via the HGF/c-MET Signaling Pathway. Cancer Research. 75(3). 605–614. 24 indexed citations
7.
Webster, Micah T. & Chen‐Ming Fan. (2013). c-MET Regulates Myoblast Motility and Myocyte Fusion during Adult Skeletal Muscle Regeneration. PLoS ONE. 8(11). e81757–e81757. 54 indexed citations
8.
Witkin, Keren L., Yolanda Chong, Sichen Shao, et al.. (2012). The Budding Yeast Nuclear Envelope Adjacent to the Nucleolus Serves as a Membrane Sink during Mitotic Delay. Current Biology. 22(12). 1128–1133. 68 indexed citations
9.
Webster, Micah T., J. Michael McCaffery, & Orna Cohen‐Fix. (2010). Vesicle trafficking maintains nuclear shape in Saccharomyces cerevisiae during membrane proliferation. The Journal of Cell Biology. 191(6). 1079–1088. 35 indexed citations
10.
Webster, Micah T., Keren L. Witkin, & Orna Cohen‐Fix. (2009). Sizing up the nucleus: nuclear shape, size and nuclear-envelope assembly. Journal of Cell Science. 122(10). 1477–1486. 315 indexed citations
11.
Aghi, Manish K., Lan Kluwe, Micah T. Webster, et al.. (2006). Unilateral vestibular schwannoma with other neurofibromatosis Type 2–related tumors: clinical and molecular study of a unique phenotype. Journal of neurosurgery. 104(2). 201–207. 16 indexed citations
12.
Reecy, James M., et al.. (2003). Recent Advances That Impact Skeletal Muscle Growth and Development Research. Journal of Animal Science. 81. 7 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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