J. Jac
Impact in
- Hepatology top 10%
- Liver physiology and pathology
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Renal cell carcinoma treatment 10
- Lung Cancer Treatments and Mutations 3
-
- Renal and related cancers 4
- PI3K/AKT/mTOR signaling in cancer 4
- Co-authors
- Robert J. Amato (8 shared papers)J. P. Willis (7 shared papers)Somyata Saxena (6 shared papers)Joan Hernandez-McClain (6 shared papers)R. J. Amato (9 shared papers)Richard Harrop (4 shared papers)Stuart Naylor (3 shared papers)Francis Payumo (6 shared papers)
- Journals
- Journal of Clinical Oncology (12 papers)Clinical Genitourinary Cancer (2 papers)Journal of Immunotherapy (2 papers)Cancer (1 paper)Drugs (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
J. Jac
25 papers receiving 747 citations
Peers
Comparison fields: 5 of 65
- Hepatology 109
- Cancer Research 206
- Pulmonary and Respiratory Medicine 424
- Oncology 222
- Molecular Biology 423
Countries citing papers authored by J. Jac
This map shows the geographic impact of J. Jac'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 J. Jac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Jac more than expected).
Fields of papers citing papers by J. Jac
This network shows the impact of papers produced by J. Jac. 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 J. Jac. The network helps show where J. Jac may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Jac, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 158 | |
| 2 | 2007 | 67 | |
| 3 | 2007 | 64 | |
| 4 | 2009 | 55 | |
| 5 | 2008 | 44 | |
| 6 | 2008 | 44 | |
| 7 | 2007 | 43 | |
| 8 | 2008 | 42 | |
| 9 | 2014 | 37 | |
| 10 | 2011 | 37 | |
| 11 | 2011 | 30 | |
| 12 | 2010 | 30 | |
| 13 | 2008 | 22 | |
| 14 | 2008 | 21 | |
| 15 | 2018 | 15 | |
| 16 | 2008 | 9 | |
| 17 | 2006 | 7 | |
| 18 | 2006 | 6 | |
| 19 | 2008 | 6 | |
| 20 | 2009 | 6 |
About J. Jac
J. Jac is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research, Oncology and Hepatology, having authored 25 papers that have together received 755 indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (10 papers), Cancer Genomics and Diagnostics (8 papers), Liver physiology and pathology (6 papers), Renal and related cancers (4 papers), Virus-based gene therapy research (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Cancer Research and Treatments (3 papers) and Lung Cancer Treatments and Mutations (3 papers). The work is most often cited by research in Hepatology (109 citations), Cancer Research (206 citations), Pulmonary and Respiratory Medicine (424 citations), Oncology (222 citations) and Molecular Biology (423 citations). J. Jac has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Robert J. Amato, J. P. Willis, Somyata Saxena, Joan Hernandez-McClain, R. J. Amato, Richard Harrop, Stuart Naylor, Francis Payumo, Monette Cotreau and William Shingler. Their work appears in journals such as Journal of Clinical Oncology, Clinical Genitourinary Cancer, Journal of Immunotherapy, Cancer and Drugs.
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.