Jay Gibbons
- Hematology top 5%
- Cancer Research top 10%
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer 6
- Cell death mechanisms and regulation 1
- Genetics top 10%
- Oncology top 10%
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- Cancer Mechanisms and Therapy 3
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- Renal cell carcinoma treatment 2
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- Quinazolinone synthesis and applications 2
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- Rheumatoid Arthritis Research and Therapies 2
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- Fungal Plant Pathogen Control 1
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- Viral Infections and Immunology Research 1
- Co-authors
- Allan J. PantuckArie S. BelldegrunRobert A. FiglinTimothy E. O’TooleDavid B. SeligsonJohn T. LeppertRamon ParsonsKatrina Podsypanina
- Journals
- Journal of Clinical Oncology (2 papers)Journal of Medicinal Chemistry (2 papers)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Jay Gibbons
14 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 79
- Hematology 193
- Cancer Research 243
- Molecular Biology 1.1k
- Genetics 156
- Oncology 358
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-authorship network
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 | 2014 | 28 | |
| 2 | 2012 | 6 | |
| 3 | 2010 | 52 | |
| 4 | 2009 | 23 | |
| 5 | 2009 | 66 | |
| 6 | 2007 | 271 | |
| 7 | 2006 | 54 | |
| 8 | 2005 | 8 | |
| 9 | 2004 | 74 | |
| 10 | 2004 | 48 | |
| 11 | 2004 | 155 | |
| 12 | 2001 | 179 | |
| 13 | 2001 | 494 | |
| 14 | 1961 | 7 |
About Jay Gibbons
Jay Gibbons is a scholar working on Pathology and Forensic Medicine, Hematology, Clinical Biochemistry, Small Animals and Cancer Research, 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), Renal cell carcinoma treatment (2 papers), Quinazolinone synthesis and applications (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Fungal Plant Pathogen Control (1 paper), Viral Infections and Immunology Research (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Hematology (193 citations), Cancer Research (243 citations), Molecular Biology (1.1k citations), Genetics (156 citations) and Oncology (358 citations). Jay Gibbons has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Allan J. Pantuck, Arie S. Belldegrun, Robert A. Figlin, Timothy E. O’Toole, David B. Seligson, John T. Leppert, Ramon Parsons, Katrina Podsypanina, Valley Dreisbach and Laurence Moore. Their work appears in journals such as Journal of Clinical Oncology, Journal of Medicinal Chemistry, Molecular Cancer Therapeutics, Journal of Pharmacology and Experimental Therapeutics and Cancer.
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.