Tabetha M. Bonacci
Impact in
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
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- Receptor Mechanisms and Signaling
- Protein Kinase Regulation and GTPase Signaling
- Sphingolipid Metabolism and Signaling
- Lipid Membrane Structure and Behavior
Papers in
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- Protein Kinase Regulation and GTPase Signaling 5
- Receptor Mechanisms and Signaling 3
- Metabolism, Diabetes, and Cancer 2
- Glycosylation and Glycoproteins Research 2
- Kruppel-like factors research 1
- Wnt/β-catenin signaling in development and cancer 1
- Oncology 3
- HER2/EGFR in Cancer Research 2
- Cytokine Signaling Pathways and Interactions 1
- Co-authors
- Alan V. Smrcka (5 shared papers)Sundeep Malik (3 shared papers)Jean M. Bidlack (1 shared paper)Jennifer Mathews (1 shared paper)Chujun Yuan (1 shared paper)David M. Lehmann (1 shared paper)Jose L. Font (1 shared paper)Dianqing Wu (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Molecular Cancer Therapeutics (1 paper)Science (1 paper)Journal of Proteome Research (1 paper)Biochemistry (1 paper)
- Partner nations
- United States
In The Last Decade
Tabetha M. Bonacci
9 papers receiving 566 citations
Peers
Comparison fields: 5 of 69
- Biochemistry 78
- Molecular Biology 466
- Cellular and Molecular Neuroscience 113
- Immunology and Allergy 25
- Cell Biology 64
Countries citing papers authored by Tabetha M. Bonacci
This map shows the geographic impact of Tabetha M. Bonacci'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 Tabetha M. Bonacci with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tabetha M. Bonacci more than expected).
Fields of papers citing papers by Tabetha M. Bonacci
This network shows the impact of papers produced by Tabetha M. Bonacci. 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 Tabetha M. Bonacci. The network helps show where Tabetha M. Bonacci may publish in the future.
Co-authors
The 25 scholars most cited alongside Tabetha M. Bonacci, 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 | 189 | |
| 2 | 2008 | 159 | |
| 3 | 2005 | 65 | |
| 4 | 2004 | 45 | |
| 5 | 2005 | 41 | |
| 6 | 2005 | 29 | |
| 7 | 2011 | 21 | |
| 8 | 2009 | 13 | |
| 9 | 2012 | 10 |
About Tabetha M. Bonacci
Tabetha M. Bonacci is a scholar working on Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism, Physiology and Genetics, having authored 9 papers that have together received 572 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Receptor Mechanisms and Signaling (3 papers), Metabolism, Diabetes, and Cancer (2 papers), HER2/EGFR in Cancer Research (2 papers), Glycosylation and Glycoproteins Research (2 papers), Kruppel-like factors research (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Biochemistry (78 citations), Molecular Biology (466 citations), Cellular and Molecular Neuroscience (113 citations), Immunology and Allergy (25 citations) and Cell Biology (64 citations). Tabetha M. Bonacci has collaborated with scholars based in United States. Frequent co-authors include Alan V. Smrcka, Sundeep Malik, Jean M. Bidlack, Jennifer Mathews, Chujun Yuan, David M. Lehmann, Jose L. Font, Dianqing Wu, Mousumi Ghosh and Stephen R. Sprang. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cancer Therapeutics, Science, Journal of Proteome Research 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.