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

John Muschler
Comparison fields: 5 of 101
  • Molecular Biology 1.2k
  • Immunology and Allergy 653
  • Cell Biology 590
  • Oncology 536
  • Biomedical Engineering 293
Sharona Even‐Ram Israel
Daniel Bouvard France
Fabio Stanchi Germany
Stephan Niland Germany
Dian Feng United States
Frances B. Cannon United States
Sarah A. Wilcox‐Adelman United States
Coert Margadant Netherlands
Shaohua Li United States
Sarita K. Sastry United States
Sharona Even‐Ram Israel View profile →
Citations per field, relative to John Muschler
John Muschler · 1×
Citations per year, relative to John Muschler
John Muschler · 1×

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
# Work Indexed citations
1 0
2 2
3 13
4 6
5 5
6 39
7 192
8 27
9 22
10 53
11
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
1
12 83
13 144
14 25
15 214
16 18
17 77
18 1
19 68
20 118

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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