Jon Burrows

1.4k citations
20 papers · 1.2k · h-index 9

Impact in

  • Hepatology top 1%
    • Liver physiology and pathology
  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Cancer Cells and Metastasis
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Advanced Biosensing Techniques and Applications 3
    • Molecular Biology Techniques and Applications 2
    • HER2/EGFR in Cancer Research 4

Jon Burrows

19 papers receiving 1.2k citations

Peers

Jon Burrows
Comparison fields: 5 of 65
  • Hepatology 495
  • Oncology 358
  • Molecular Biology 600
  • Pathology and Forensic Medicine 134
  • Cancer Research 105
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Citations per field
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Citations per year

Countries citing papers authored by Jon Burrows

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jon Burrows Line = papers co-authored together Jon Burrows links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2004444
2
A selective small molecule inhibitor of c-Met kinase inhibits c-Met-dependent phenotypes in vitro and exhibits cytoreductive antitumor activity in vivo.
2003436
3 201569
4 201251
5 201348
6 201441
7 201635
8 201532
9 201510
10 20136
11 20125
12 20123
13 20141
14 20141
15 20131
16 20141
17 20211
18 20151
19 20141
20 20150

About Jon Burrows

Jon Burrows is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Spectroscopy, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Advanced Proteomics Techniques and Applications (4 papers), HER2/EGFR in Cancer Research (4 papers), Liver physiology and pathology (3 papers), Lung Cancer Treatments and Mutations (3 papers), Advanced Biosensing Techniques and Applications (3 papers), Cancer Genomics and Diagnostics (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Hepatology (495 citations), Oncology (358 citations), Molecular Biology (600 citations), Pathology and Forensic Medicine (134 citations) and Cancer Research (105 citations). Jon Burrows has collaborated with scholars based in United States, Spain and South Korea. Frequent co-authors include James G. Christensen, Ravi Salgia, Jeffrey Chen, Lany Ruslim, Dirk B. Mendel, Phuong Le, Robert A. Blake, Jingrong Jean Cui, Julie M. Cherrington and Steven Do. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Clinical Proteomics, Journal of Molecular Diagnostics and Annals of Oncology.

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.

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