John Muschler

2.7k total citations
38 papers, 2.1k citations indexed

About

John Muschler is a scholar working on Molecular Biology, Immunology and Allergy and Oncology. According to data from OpenAlex, John Muschler has authored 38 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 15 papers in Immunology and Allergy and 11 papers in Oncology. Recurrent topics in John Muschler's work include Cell Adhesion Molecules Research (15 papers), Muscle Physiology and Disorders (10 papers) and Pancreatic and Hepatic Oncology Research (7 papers). John Muschler is often cited by papers focused on Cell Adhesion Molecules Research (15 papers), Muscle Physiology and Disorders (10 papers) and Pancreatic and Hepatic Oncology Research (7 papers). John Muschler collaborates with scholars based in United States, India and France. John Muschler's co-authors include Alan F. Horwitz, Mina J. Bissell, Charles Streuli, Kevin P. Campbell, Margot Lakonishok, Michael D. Henry, D. A. Thomas, Sarita K. Sastry, John Ashkenas and Motoi Kanagawa and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

John Muschler

36 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Muschler United States 24 1.2k 653 590 536 293 38 2.1k
Sharona Even‐Ram Israel 19 1.5k 1.2× 534 0.8× 1.1k 1.9× 356 0.7× 496 1.7× 27 3.1k
Daniel Bouvard France 26 1.3k 1.0× 1.1k 1.7× 966 1.6× 472 0.9× 132 0.5× 46 2.5k
Fabio Stanchi Germany 21 1.0k 0.8× 595 0.9× 709 1.2× 311 0.6× 151 0.5× 30 1.8k
Stephan Niland Germany 22 895 0.7× 378 0.6× 415 0.7× 448 0.8× 228 0.8× 42 1.9k
Dian Feng United States 20 1.5k 1.2× 423 0.6× 440 0.7× 640 1.2× 164 0.6× 27 2.7k
Frances B. Cannon United States 7 933 0.8× 843 1.3× 504 0.9× 339 0.6× 246 0.8× 7 2.1k
Sarah A. Wilcox‐Adelman United States 15 1.0k 0.8× 303 0.5× 1.0k 1.7× 246 0.5× 251 0.9× 16 1.9k
Coert Margadant Netherlands 23 902 0.7× 746 1.1× 749 1.3× 278 0.5× 141 0.5× 39 2.1k
Shaohua Li United States 23 1.0k 0.8× 547 0.8× 532 0.9× 156 0.3× 172 0.6× 45 1.8k
Sarita K. Sastry United States 16 1.1k 0.9× 941 1.4× 860 1.5× 210 0.4× 155 0.5× 21 2.1k

Countries citing papers authored by John Muschler

Since Specialization
Citations

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

Fields of papers citing papers by John Muschler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Muschler. 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 John Muschler. The network helps show where John Muschler may publish in the future.

Co-authorship network of co-authors of John Muschler

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

All Works

20 of 20 papers shown
1.
Huang, Ge, Luke Ternes, Christian Lanciault, et al.. (2024). Suppression of dystroglycan function accompanies pancreatic acinar‐to‐ductal metaplasia and favours dysplasia development. The Journal of Pathology. 264(4). 411–422.
2.
O’Connell, Brendan L., Ruth V. Nichols, John Muschler, et al.. (2023). Accessible high-throughput single-cell whole-genome sequencing with paired chromatin accessibility. Cell Reports Methods. 3(11). 100625–100625. 2 indexed citations
3.
Sun, Lingyi, Yongkang Gai, Zhonghan Li, et al.. (2022). Heterodimeric RGD-NGR PET Tracer for the Early Detection of Pancreatic Cancer. Molecular Imaging and Biology. 24(4). 580–589. 13 indexed citations
4.
Kim, Jung-Sun, Wenli Yang, Greg Donahue, et al.. (2021). Longitudinal Analysis of Human Pancreatic Adenocarcinoma Development Reveals Transient Gene Expression Signatures. Molecular Cancer Research. 19(11). 1854–1867. 6 indexed citations
5.
Ternes, Luke, Ge Huang, Christian Lanciault, et al.. (2020). VISTA: VIsual Semantic Tissue Analysis for pancreatic disease quantification in murine cohorts. Scientific Reports. 10(1). 20904–20904. 5 indexed citations
6.
França, Cristiane Miranda, et al.. (2019). 3D-Imaging of Whole Neuronal and Vascular Networks of the Human Dental Pulp via CLARITY and Light Sheet Microscopy. Scientific Reports. 9(1). 10860–10860. 39 indexed citations
7.
Langer, Ellen M., Brittany L. Allen-Petersen, Shelby M. King, et al.. (2019). Modeling Tumor Phenotypes In Vitro with Three-Dimensional Bioprinting. Cell Reports. 26(3). 608–623.e6. 192 indexed citations
8.
Wang, Lei, Connor W. Barth, Martha Sibrian‐Vazquez, et al.. (2017). Far-Red and Near-Infrared Seminaphthofluorophores for Targeted Pancreatic Cancer Imaging. ACS Omega. 2(1). 154–163. 27 indexed citations
9.
Leonoudakis, Dmitri, Ge Huang, Armin Akhavan, et al.. (2014). Endocytic trafficking of laminin is controlled by dystroglycan and disrupted in cancers. Journal of Cell Science. 127(Pt 22). 4894–903. 22 indexed citations
10.
Akhavan, Armin, Obi L. Griffith, Liliana Soroceanu, et al.. (2012). Loss of Cell-Surface Laminin Anchoring Promotes Tumor Growth and Is Associated with Poor Clinical Outcomes. Cancer Research. 72(10). 2578–2588. 53 indexed citations
11.
Muschler, John. (2011). Division of Labor among the alpha-6 beta-4 Integrin, beta-1 Integrins and an E3 Laminin Receptor to Signal Morphogenesis and beta-Casein Expression in Mammary Epithelial Cells. University of North Texas Digital Library (University of North Texas). 1 indexed citations
12.
Béliveau, Alain, Joni D. Mott, Alvin Lo, et al.. (2010). Raf-induced MMP9 disrupts tissue architecture of human breast cells in three-dimensional culture and is necessary for tumor growth in vivo. Genes & Development. 24(24). 2800–2811. 83 indexed citations
13.
Muschler, John & Charles Streuli. (2010). Cell-Matrix Interactions in Mammary Gland Development and Breast Cancer. Cold Spring Harbor Perspectives in Biology. 2(10). a003202–a003202. 144 indexed citations
14.
Akhavan, Armin, et al.. (2008). Nuclear Translocation of β‐Dystroglycan Reveals a Distinctive Trafficking Pattern of Autoproteolyzed Mucins. Traffic. 9(12). 2063–2072. 25 indexed citations
15.
Kanagawa, Motoi, Fumiaki Saito, Stefan Kunz, et al.. (2004). Molecular Recognition by LARGE Is Essential for Expression of Functional Dystroglycan. Cell. 117(7). 953–964. 214 indexed citations
16.
Weir, M. Lynn & John Muschler. (2003). Dystroglycan: Emerging Roles in Mammary Gland Function. Journal of Mammary Gland Biology and Neoplasia. 8(4). 409–419. 18 indexed citations
17.
Radisky, Derek C., John Muschler, & Mina J. Bissell. (2002). Order and Disorder: The Role of Extracellular Matrix in Epithelial Cancer. Cancer Investigation. 20(1). 139–153. 77 indexed citations
18.
Muschler, John, et al.. (1998). Immunopurification of a Sarcomeric Junctional Protein Complex Containing GAPDH. Experimental Cell Research. 243(2). 305–318. 1 indexed citations
19.
Lakonishok, Margot, John Muschler, & Alan F. Horwitz. (1992). The α5β1 integrin associates with a dystrophin-containing lattice during muscle development. Developmental Biology. 152(2). 209–220. 68 indexed citations
20.
Decker, Cindi, et al.. (1989). Integrin on developing and adult skeletal muscle. Experimental Cell Research. 183(1). 72–91. 118 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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