Jason Labutti
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
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- Ubiquitin and proteasome pathways
- Protein Tyrosine Phosphatases
- Redox biology and oxidative stress
- Protein Degradation and Inhibitors
- Genomics, phytochemicals, and oxidative stress
Papers in
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- Protein Tyrosine Phosphatases 5
- Redox biology and oxidative stress 2
- Ubiquitin and proteasome pathways 1
- Heat shock proteins research 1
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 4
- Galectins and Cancer Biology 3
- Co-authors
- Kent S. Gates (5 shared papers)Derrick R. Seiner (3 shared papers)J. Scott Daniels (3 shared papers)Gerald T. Miwa (2 shared papers)Liang‐Shang Gan (2 shared papers)Ian Parsons (2 shared papers)Thomas J. Reilly (2 shared papers)Darrell Nix (1 shared paper)
- Journals
- Journal of the American Chemical Society (2 papers)Chemical Research in Toxicology (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Drug Metabolism and Disposition (1 paper)Biochemistry (1 paper)
- Partner nations
- United States
In The Last Decade
Jason Labutti
10 papers receiving 452 citations
Peers
Comparison fields: 5 of 70
- Hematology 94
- Molecular Biology 346
- Biochemistry 33
- Immunology 68
- Oncology 81
Countries citing papers authored by Jason Labutti
This map shows the geographic impact of Jason Labutti'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 Jason Labutti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason Labutti more than expected).
Fields of papers citing papers by Jason Labutti
This network shows the impact of papers produced by Jason Labutti. 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 Jason Labutti. The network helps show where Jason Labutti may publish in the future.
Co-authors
The 25 scholars most cited alongside Jason Labutti, 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 | 2005 | 116 | |
| 2 | 2007 | 70 | |
| 3 | 2011 | 66 | |
| 4 | 2006 | 57 | |
| 5 | 2006 | 45 | |
| 6 | 2007 | 28 | |
| 7 | 2001 | 25 | |
| 8 | 2008 | 21 | |
| 9 | 1998 | 19 | |
| 10 | 2008 | 17 |
About Jason Labutti
Jason Labutti is a scholar working on Molecular Biology, Immunology, Oncology, Hematology and Infectious Diseases, having authored 10 papers that have together received 464 indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Galectins and Cancer Biology (3 papers), Peptidase Inhibition and Analysis (3 papers), Multiple Myeloma Research and Treatments (2 papers), Redox biology and oxidative stress (2 papers), Ubiquitin and proteasome pathways (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Hematology (94 citations), Molecular Biology (346 citations), Biochemistry (33 citations), Immunology (68 citations) and Oncology (81 citations). Jason Labutti has collaborated with scholars based in United States. Frequent co-authors include Kent S. Gates, Derrick R. Seiner, J. Scott Daniels, Gerald T. Miwa, Liang‐Shang Gan, Ian Parsons, Thomas J. Reilly, Darrell Nix, F. Hsieh and Sanjib Bhattacharya. Their work appears in journals such as Journal of the American Chemical Society, Chemical Research in Toxicology, Bioorganic & Medicinal Chemistry Letters, Drug Metabolism and Disposition and Biochemistry.
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.