Jack E. Dixon
Impact in
- Immunology top 5%
- Galectins and Cancer Biology
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Molecular Biology top 5%
- Protein Tyrosine Phosphatases
- Protein Kinase Regulation and GTPase Signaling
- RNA modifications and cancer
- ATP Synthase and ATPases Research
- Biochemical and Molecular Research
Papers in
-
- Protein Tyrosine Phosphatases 6
- Glycosylation and Glycoproteins Research 2
- Ubiquitin and proteasome pathways 1
- Enzyme Catalysis and Immobilization 1
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- Enzyme Structure and Function 4
- Co-authors
- Jeanne A. Stuckey (3 shared papers)D.J. Hakes (1 shared paper)Zhong Yin Zhang (1 shared paper)Laura J. Mauro (1 shared paper)Heidi Schubert (2 shared papers)Mark A. Saper (2 shared papers)Eric B. Fauman (2 shared papers)Liwu Li (1 shared paper)
- Journals
- Analytical Biochemistry (2 papers)Biochemistry (2 papers)Journal of Neurochemistry (1 paper)Trends in Biochemical Sciences (1 paper)Nature (1 paper)
- Partner nations
- United States
In The Last Decade
Jack E. Dixon
10 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 86
- Immunology 451
- Molecular Biology 1.3k
- Toxicology 53
- Cell Biology 201
- Biochemistry 40
Countries citing papers authored by Jack E. Dixon
This map shows the geographic impact of Jack E. Dixon'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 Jack E. Dixon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack E. Dixon more than expected).
Fields of papers citing papers by Jack E. Dixon
This network shows the impact of papers produced by Jack E. Dixon. 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 Jack E. Dixon. The network helps show where Jack E. Dixon may publish in the future.
Co-authors
The 18 scholars most cited alongside Jack E. Dixon, 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 | 1994 | 334 | |
| 2 | 1992 | 230 | |
| 3 | 1993 | 224 | |
| 4 | 1999 | 184 | |
| 5 | 1994 | 167 | |
| 6 | 1994 | 139 | |
| 7 | 2000 | 120 | |
| 8 | 2000 | 102 | |
| 9 | 1997 | 14 | |
| 10 | 1994 | 4 |
About Jack E. Dixon
Jack E. Dixon is a scholar working on Molecular Biology, Materials Chemistry, Immunology, Cell Biology and Oncology, having authored 10 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (6 papers), Enzyme Structure and Function (4 papers), Galectins and Cancer Biology (3 papers), Glycosylation and Glycoproteins Research (2 papers), Metalloenzymes and iron-sulfur proteins (1 paper), Ubiquitin and proteasome pathways (1 paper), Enzyme Catalysis and Immobilization (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Immunology (451 citations), Molecular Biology (1.3k citations), Toxicology (53 citations), Cell Biology (201 citations) and Biochemistry (40 citations). Jack E. Dixon has collaborated with scholars based in United States. Frequent co-authors include Jeanne A. Stuckey, D.J. Hakes, Zhong Yin Zhang, Laura J. Mauro, Heidi Schubert, Mark A. Saper, Eric B. Fauman, Liwu Li, Tomohiko Maehama and Gregory S. Taylor. Their work appears in journals such as Analytical Biochemistry, Biochemistry, Journal of Neurochemistry, Trends in Biochemical Sciences and Nature.
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.