James E. Mullally
Impact in
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
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- Ubiquitin and proteasome pathways
- Histone Deacetylase Inhibitors Research
- DNA Repair Mechanisms
Papers in
- Oncology 5
- Peptidase Inhibition and Analysis 4
- Cancer-related Molecular Pathways 2
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- Ubiquitin and proteasome pathways 6
- Glycosylation and Glycoproteins Research 2
- Protein Tyrosine Phosphatases 1
- Co-authors
- Frank A. Fitzpatrick (3 shared papers)Francis A. Fitzpatrick (2 shared papers)Keith D. Wilkinson (4 shared papers)Philip J. Moos (2 shared papers)Kornelia Edes (2 shared papers)Annie Heroux (1 shared paper)Francisca E. Reyes‐Turcu (1 shared paper)John R. Horton (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Molecular Pharmacology (1 paper)Molecular and Cellular Biology (1 paper)Carcinogenesis (1 paper)Cell (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
James E. Mullally
10 papers receiving 867 citations
Peers
Comparison fields: 5 of 81
- Molecular Medicine 96
- Molecular Biology 661
- Oncology 195
- Cancer Research 91
- Pharmacology 84
Countries citing papers authored by James E. Mullally
This map shows the geographic impact of James E. Mullally'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 James E. Mullally with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James E. Mullally more than expected).
Fields of papers citing papers by James E. Mullally
This network shows the impact of papers produced by James E. Mullally. 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 James E. Mullally. The network helps show where James E. Mullally may publish in the future.
Co-authors
The 25 scholars most cited alongside James E. Mullally, 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 | 2006 | 288 | |
| 2 | 2004 | 112 | |
| 3 | 2001 | 110 | |
| 4 | Survey of patients with granular, lattice, avellino, and Reis-Bücklers corneal dystrophies for mutations in the BIGH3 and gelsolin genes. | 2001 | 95 |
| 5 | 2002 | 88 | |
| 6 | 2004 | 71 | |
| 7 | 2015 | 65 | |
| 8 | 2005 | 59 | |
| 9 | 2005 | 26 | |
| 10 | 2006 | 1 |
About James E. Mullally
James E. Mullally is a scholar working on Oncology, Molecular Biology, Molecular Medicine, Genetics and Cancer Research, having authored 10 papers that have together received 915 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Peptidase Inhibition and Analysis (4 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer-related Molecular Pathways (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Corneal surgery and disorders (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Molecular Medicine (96 citations), Molecular Biology (661 citations), Oncology (195 citations), Cancer Research (91 citations) and Pharmacology (84 citations). James E. Mullally has collaborated with scholars based in United States and France. Frequent co-authors include Frank A. Fitzpatrick, Francis A. Fitzpatrick, Keith D. Wilkinson, Philip J. Moos, Kornelia Edes, Annie Heroux, Francisca E. Reyes‐Turcu, John R. Horton, Xiaodong Cheng and Christian Ireland. Their work appears in journals such as Journal of Biological Chemistry, Molecular Pharmacology, Molecular and Cellular Biology, Carcinogenesis and Cell.
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.