Jon Burrows
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Pancreatic and Hepatic Oncology Research
Papers in
- Oncology 9
- HER2/EGFR in Cancer Research 5
-
- Monoclonal and Polyclonal Antibodies Research 9
- Co-authors
- James G. Christensen (2 shared papers)Ravi Salgia (1 shared paper)Emily Chan (1 shared paper)Xueyan Wang (1 shared paper)Robert A. Blake (1 shared paper)Julie M. Cherrington (1 shared paper)Lany Ruslim (1 shared paper)Jeffrey Chen (1 shared paper)
- Journals
- Journal of Clinical Oncology (4 papers)Cancer Research (3 papers)Molecular Oncology (1 paper)European Journal of Cancer (1 paper)Gastric Cancer (1 paper)
- Partner nations
- United StatesSpainSouth Korea
In The Last Decade
Jon Burrows
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 67
- Hepatology 503
- Oncology 429
- Molecular Biology 674
- Cancer Research 134
- Pathology and Forensic Medicine 154
Countries citing papers authored by Jon Burrows
This map shows the geographic impact of Jon Burrows'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 Jon Burrows with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Burrows more than expected).
Fields of papers citing papers by Jon Burrows
This network shows the impact of papers produced by Jon Burrows. 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 Jon Burrows. The network helps show where Jon Burrows may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon Burrows, 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 | 2004 | 424 | |
| 2 | A selective small molecule inhibitor of c-Met kinase inhibits c-Met-dependent phenotypes in vitro and exhibits cytoreductive antitumor activity in vivo. | 2003 | 421 |
| 3 | 2015 | 68 | |
| 4 | 2012 | 50 | |
| 5 | 2013 | 48 | |
| 6 | 2014 | 40 | |
| 7 | 2016 | 32 | |
| 8 | 2015 | 31 | |
| 9 | 2015 | 10 | |
| 10 | 2013 | 6 | |
| 11 | 2012 | 5 | |
| 12 | 2012 | 3 | |
| 13 | 2014 | 1 | |
| 14 | 2014 | 1 | |
| 15 | 2014 | 1 | |
| 16 | 2014 | 1 | |
| 17 | 2013 | 1 | |
| 18 | 2021 | 1 | |
| 19 | 2015 | 1 | |
| 20 | 2015 | 0 |
About Jon Burrows
Jon Burrows is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Pulmonary and Respiratory Medicine and Spectroscopy, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), HER2/EGFR in Cancer Research (5 papers), Advanced Proteomics Techniques and Applications (4 papers), Advanced Biosensing Techniques and Applications (4 papers), Cancer Genomics and Diagnostics (3 papers), Lung Cancer Treatments and Mutations (3 papers), Liver physiology and pathology (3 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Hepatology (503 citations), Oncology (429 citations), Molecular Biology (674 citations), Cancer Research (134 citations) and Pathology and Forensic Medicine (154 citations). Jon Burrows has collaborated with scholars based in United States, Spain and South Korea. Frequent co-authors include James G. Christensen, Ravi Salgia, Emily Chan, Xueyan Wang, Robert A. Blake, Julie M. Cherrington, Lany Ruslim, Jeffrey Chen, John Ramphal and Steven Do. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Molecular Oncology, European Journal of Cancer and Gastric 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.