James E. Mullally

1.0k citations
10 papers · 874 · h-index 9

Impact in

    • Curcumin's Biomedical Applications
    • Ubiquitin and proteasome pathways
    • Histone Deacetylase Inhibitors Research
    • DNA Repair Mechanisms

Papers in

    • Ubiquitin and proteasome pathways 6
    • Glycosylation and Glycoproteins Research 2
    • Peptidase Inhibition and Analysis 4
    • Cancer-related Molecular Pathways 2

James E. Mullally

10 papers receiving 835 citations

Peers

James E. Mullally
Comparison fields: 5 of 80
  • Molecular Medicine 96
  • Molecular Biology 656
  • Oncology 186
  • Cancer Research 97
  • Cell Biology 81
Replace Nicole Caspers with:
Nicole Caspers United States
Christian Apfel Switzerland
Noriko Shimazaki Japan
Ramachandran Rashmi United States
Jean‐Charles Faye France
Vincent Galullo United States
Jasna Banković Serbia
Huameng Li United States
Naif A. Al-Jomah Saudi Arabia
Taishu Wang China
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Citations per field
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Citations per year

Countries citing papers authored by James E. Mullally

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with James E. Mullally Line = papers co-authored together James E. Mullally links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2006275
2 2004107
3 2001106
4
Survey of patients with granular, lattice, avellino, and Reis-Bücklers corneal dystrophies for mutations in the BIGH3 and gelsolin genes.
200189
5 200286
6 200465
7 201562
8 200558
9 200525
10 20061

About James E. Mullally

James E. Mullally is a scholar working on Molecular Biology, Oncology, Genetics, Pharmacology and Molecular Medicine, having authored 10 papers that have together received 874 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Peptidase Inhibition and Analysis (4 papers), Cancer-related Molecular Pathways (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Glycosylation and Glycoproteins Research (2 papers), Inflammatory mediators and NSAID effects (1 paper), Connective tissue disorders research (1 paper) and Curcumin's Biomedical Applications (1 paper). The work is most often cited by research in Molecular Medicine (96 citations), Molecular Biology (656 citations), Oncology (186 citations), Cancer Research (97 citations) and Cell Biology (81 citations). James E. Mullally has collaborated with scholars based in United States and France. Frequent co-authors include F.A. Fitzpatrick, F.A. Fitzpatrick, Keith D. Wilkinson, Kornelia Edes, Philip J. Moos, Francisca E. Reyes‐Turcu, Xiaodong Cheng, A. Héroux, J.R. Horton and Chris M. Ireland. Their work appears in journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry, Molecular Pharmacology, Cell and Carcinogenesis.

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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