Mark B. Mixon

1.1k citations
13 papers · 907 indexed · h-index 11

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • Protein Kinase Regulation and GTPase Signaling
    • Receptor Mechanisms and Signaling
    • Protein Structure and Dynamics
    • Lipid Membrane Structure and Behavior
    • RNA and protein synthesis mechanisms

Papers in

    • Protein Structure and Dynamics 4
    • RNA and protein synthesis mechanisms 4
    • Protein Kinase Regulation and GTPase Signaling 3
    • Glycosylation and Glycoproteins Research 2

Mark B. Mixon

13 papers receiving 884 citations

Peers

Mark B. Mixon
Comparison fields: 5 of 85
  • Virology 89
  • Molecular Biology 721
  • Cell Biology 165
  • Cellular and Molecular Neuroscience 107
  • Biochemistry 39
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Citations per field
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Citations per year

Countries citing papers authored by Mark B. Mixon

Since Specialization
Citations

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

Fields of papers citing papers by Mark B. Mixon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark B. Mixon. 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 Mark B. Mixon. The network helps show where Mark B. Mixon may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark B. Mixon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark B. Mixon Line = papers co-authored together Mark B. Mixon links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 201116
2 20113
3 200941
4 200943
5 200846
6 2000159
7 199871
8 1997137
9 1995251
10 199444
11 19923
12
A secretion granule membrane protein (GRAMP 92) is found in non-granule membranes including those of the endocytic pathway.
199210
13 199183

About Mark B. Mixon

Mark B. Mixon is a scholar working on Virology, Molecular Biology, Biomaterials, Biochemistry and Cell Biology, having authored 13 papers that have together received 907 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), RNA and protein synthesis mechanisms (4 papers), Enzyme Structure and Function (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Bacteriophages and microbial interactions (3 papers), Glycosylation and Glycoproteins Research (2 papers), Supramolecular Self-Assembly in Materials (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Virology (89 citations), Molecular Biology (721 citations), Cell Biology (165 citations), Cellular and Molecular Neuroscience (107 citations) and Biochemistry (39 citations). Mark B. Mixon has collaborated with scholars based in United States. Frequent co-authors include Alfred G. Gilman, Stephen R. Sprang, Albert M. Berghuis, David E. Coleman, Ethan Lee, Peter S. Kim, Benjamin K. Chen, Itay Rousso, Paul A. Srere and Markus Teige. Their work appears in journals such as Journal of Biological Chemistry, BMC Biotechnology, Science, Journal of Histochemistry & Cytochemistry and Journal of Molecular Biology.

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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