Michael D. Bright

904 citations
12 papers · 589 · h-index 10

Impact in

    • Escherichia coli research studies
    • Vibrio bacteria research studies
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Histone Deacetylase Inhibitors Research 3
    • Protein Degradation and Inhibitors 2
    • TGF-β signaling in diseases 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Epigenetics and DNA Methylation 2
    • Endoplasmic Reticulum Stress and Disease 4

Michael D. Bright

12 papers receiving 586 citations

Peers

Michael D. Bright
Comparison fields: 5 of 69
  • Endocrinology 224
  • Cell Biology 122
  • Infectious Diseases 131
  • Molecular Medicine 34
  • Hematology 50
Replace Tanusree Sengupta with:
Tanusree Sengupta India
Iulia A. Kovari United States
Cecelia L. Green United States
Sang Won Hyun United States
Momka Bratoeva United States
Stéphanie Suarez Switzerland
Peter Conradt Germany
H Furukawa Japan
Emanuel Smeds Sweden
Mridul Kalita United States
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Citations per field
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Citations per year

Countries citing papers authored by Michael D. Bright

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Bright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Bright. 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 Michael D. Bright. The network helps show where Michael D. Bright may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael D. Bright, 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 Michael D. Bright Line = papers co-authored together Michael D. Bright links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2011274
2 201781
3 201544
4 201841
5 201240
6 200934
7 201827
8 201819
9 201416
10 201110
11 20162
12 20141

About Michael D. Bright

Michael D. Bright is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 12 papers that have together received 589 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (4 papers), Histone Deacetylase Inhibitors Research (3 papers), Protein Degradation and Inhibitors (2 papers), TGF-β signaling in diseases (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Epigenetics and DNA Methylation (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Endocrinology (224 citations), Cell Biology (122 citations), Infectious Diseases (131 citations), Molecular Medicine (34 citations) and Hematology (50 citations). Michael D. Bright has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Gad Frankel, Elizabeth L. Hartland, Keith S. Robinson, Jaclyn S. Pearson, Diana Munera, Sau Fung Lee, Faith E. Davies, Gareth J. Morgan, Anne J. Ridley and Paul Workman. Their work appears in journals such as Cellular Signalling, Blood, Molecular Microbiology, Clinical Cancer Research and BMC 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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