Jay Gibbons
Impact in
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
- Cancer Research top 10%
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 6
- Angiogenesis and VEGF in Cancer 1
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- Cancer Mechanisms and Therapy 3
- Co-authors
- Allan J. Pantuck (2 shared papers)Zbigniew Gaciong (1 shared paper)John Blenis (1 shared paper)David B. Seligson (2 shared papers)Peter Fisher (1 shared paper)Richard Lee (1 shared paper)Ramon Parsons (1 shared paper)Timothy E. O’Toole (2 shared papers)
- Journals
- Journal of Clinical Oncology (2 papers)Journal of Medicinal Chemistry (2 papers)Molecular Cancer Therapeutics (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Blood (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Jay Gibbons
14 papers receiving 1.5k citations
Jay Gibbons's Hit Papers
Peers
Comparison fields: 5 of 77
- Hematology 189
- Cancer Research 213
- Genetics 145
- Molecular Biology 999
- Oncology 330
Countries citing papers authored by Jay Gibbons
This map shows the geographic impact of Jay Gibbons'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 Jay Gibbons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Gibbons more than expected).
Fields of papers citing papers by Jay Gibbons
This network shows the impact of papers produced by Jay Gibbons. 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 Jay Gibbons. The network helps show where Jay Gibbons may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Gibbons, 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 | An inhibitor of mTOR reduces neoplasia and normalizes p70/S6 kinase activity in Pten +/− mice Hit paper breakdown → | 2001 | 513 |
| 2 | 2007 | 283 | |
| 3 | 2001 | 191 | |
| 4 | 2004 | 159 | |
| 5 | 2004 | 82 | |
| 6 | 2009 | 69 | |
| 7 | 2006 | 59 | |
| 8 | 2010 | 54 | |
| 9 | 2004 | 48 | |
| 10 | 2014 | 30 | |
| 11 | 2009 | 25 | |
| 12 | 2005 | 8 | |
| 13 | 2012 | 7 | |
| 14 | 1961 | 7 |
About Jay Gibbons
Jay Gibbons is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Organic Chemistry, Pulmonary and Respiratory Medicine and Oncology, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (6 papers), Cancer Mechanisms and Therapy (3 papers), Quinazolinone synthesis and applications (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Angiogenesis and VEGF in Cancer (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Renal cell carcinoma treatment (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Hematology (189 citations), Cancer Research (213 citations), Genetics (145 citations), Molecular Biology (999 citations) and Oncology (330 citations). Jay Gibbons has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Allan J. Pantuck, Zbigniew Gaciong, John Blenis, David B. Seligson, Peter Fisher, Richard Lee, Ramon Parsons, Timothy E. O’Toole, Valley Dreisbach and Lin Yang. Their work appears in journals such as Journal of Clinical Oncology, Journal of Medicinal Chemistry, Molecular Cancer Therapeutics, Bioorganic & Medicinal Chemistry Letters and Blood.
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.