Jonathan P. DiNitto
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
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- Protein Kinase Regulation and GTPase Signaling
- Lipid Membrane Structure and Behavior
- RNA and protein synthesis mechanisms
- PI3K/AKT/mTOR signaling in cancer
- Protein Structure and Dynamics
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 4
- PI3K/AKT/mTOR signaling in cancer 3
- RNA and protein synthesis mechanisms 3
- RNA modifications and cancer 2
- RNA Research and Splicing 2
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- Cellular transport and secretion 3
- Co-authors
- David G. Lambright (5 shared papers)Michael Czech (2 shared papers)Paul W. Huber (2 shared papers)Anna Delprato (1 shared paper)Adı́lson Guilherme (1 shared paper)Joseph C. Wu (2 shared papers)Yan Zhang (1 shared paper)R Coli (1 shared paper)
- Journals
- Biochemistry (2 papers)Nature Communications (1 paper)Molecular Cell (1 paper)BioTechniques (1 paper)The Journal of Biochemistry (1 paper)
- Partner nations
- United States
In The Last Decade
Jonathan P. DiNitto
12 papers receiving 662 citations
Peers
Comparison fields: 5 of 70
- Cell Biology 296
- Molecular Biology 465
- Physiology 31
- Genetics 37
- Immunology 73
Countries citing papers authored by Jonathan P. DiNitto
This map shows the geographic impact of Jonathan P. DiNitto'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 Jonathan P. DiNitto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan P. DiNitto more than expected).
Fields of papers citing papers by Jonathan P. DiNitto
This network shows the impact of papers produced by Jonathan P. DiNitto. 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 Jonathan P. DiNitto. The network helps show where Jonathan P. DiNitto may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan P. DiNitto, 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 | 2003 | 140 | |
| 2 | 2006 | 134 | |
| 3 | 2007 | 133 | |
| 4 | 2004 | 84 | |
| 5 | 2010 | 62 | |
| 6 | 2003 | 35 | |
| 7 | 2017 | 26 | |
| 8 | 2017 | 18 | |
| 9 | 2010 | 11 | |
| 10 | 2011 | 10 | |
| 11 | 2010 | 9 | |
| 12 | 2001 | 8 |
About Jonathan P. DiNitto
Jonathan P. DiNitto is a scholar working on Molecular Biology, Cell Biology, Genetics, Hematology and Immunology, having authored 12 papers that have together received 670 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), Cellular transport and secretion (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), RNA Research and Splicing (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Cell Biology (296 citations), Molecular Biology (465 citations), Physiology (31 citations), Genetics (37 citations) and Immunology (73 citations). Jonathan P. DiNitto has collaborated with scholars based in United States. Frequent co-authors include David G. Lambright, Michael Czech, Paul W. Huber, Anna Delprato, Adı́lson Guilherme, Joseph C. Wu, Yan Zhang, R Coli, Gayatri D. Deshmukh and Wade Diehl. Their work appears in journals such as Biochemistry, Nature Communications, Molecular Cell, BioTechniques and The Journal of 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.