E.I. Masters
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
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- Ubiquitin and proteasome pathways
- Glycosylation and Glycoproteins Research
Papers in ⓘ
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- Ubiquitin and proteasome pathways 5
- Glycosylation and Glycoproteins Research 2
- RNA modifications and cancer 1
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- Endoplasmic Reticulum Stress and Disease 3
- Co-authors
- Christopher P. Hill (5 shared papers)Frank G. Whitby (5 shared papers)Yi Yao (2 shared papers)Ching C. Wang (1 shared paper)Andreas Förster (3 shared papers)Howard Robinson (2 shared papers)Gregory Pratt (1 shared paper)Chris H. Hill (1 shared paper)
- Journals
- Nature (2 papers)Molecular Cell (1 paper)Polymer (1 paper)Current topics in microbiology and immunology (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- United States
In The Last Decade
E.I. Masters
6 papers receiving 653 citations
Peers
Comparison fields: 5 of 50
- Cell Biology 271
- Molecular Biology 630
- Oncology 215
- Structural Biology 7
- Epidemiology 135
Countries citing papers authored by E.I. Masters
This map shows the geographic impact of E.I. Masters'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 E.I. Masters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E.I. Masters more than expected).
Fields of papers citing papers by E.I. Masters
This network shows the impact of papers produced by E.I. Masters. 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 E.I. Masters. The network helps show where E.I. Masters may publish in the future.
Co-authors
The 8 scholars most cited alongside E.I. Masters, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 401 | |
| 2 | 2005 | 188 | |
| 3 | 2002 | 57 | |
| 4 | THE 1.9 ANGSTROM STRUCTURE OF A PROTEASOME-11S ACTIVATOR COMPLEX AND IMPLICATIONS FOR THE PROTEASOME-PAN/PA700 INTERACTIONS | 2005 | 8 |
| 5 | 2005 | 7 | |
| 6 | Structural Basis for the Activation of Proteasomes by 11S Regulators | 2000 | 2 |
About E.I. Masters
E.I. Masters is a scholar working on Molecular Biology, Cell Biology, Genetics, Pulmonary and Respiratory Medicine and Atomic and Molecular Physics, and Optics, having authored 6 papers that have together received 663 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Glycosylation and Glycoproteins Research (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Medical Imaging Techniques and Applications (1 paper), Atomic and Subatomic Physics Research (1 paper), Radiation Therapy and Dosimetry (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Cell Biology (271 citations), Molecular Biology (630 citations), Oncology (215 citations), Structural Biology (7 citations) and Epidemiology (135 citations). E.I. Masters has collaborated with scholars based in United States. Frequent co-authors include Christopher P. Hill, Frank G. Whitby, Yi Yao, Ching C. Wang, Andreas Förster, Howard Robinson, Gregory Pratt and Chris H. Hill. Their work appears in journals such as Nature, Molecular Cell, Polymer, Current topics in microbiology and immunology and Methods in enzymology on CD-ROM/Methods in enzymology.
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.