Geoffrey R. Oxnard

28.8k citations
299 papers · 15.2k indexed · 11 hit papers · h-index 58

Geoffrey R. Oxnard

287 papers receiving 15.0k citations

Hit Papers

Osimertinib plus savolitinib in...29520102026201520202505007501000

Peers

Geoffrey R. Oxnard
Comparison fields: 5 of 127
  • Cancer Research 6.3k
  • Pulmonary and Respiratory Medicine 11.1k
  • Oncology 8.5k
  • Pathology and Forensic Medicine 1.7k
  • Molecular Biology 4.9k
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Maria E. Arcila United States
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Geoffrey R. Oxnard relative to Maria E. Arcila United States Maria E. Arcila's profile →
Citations per field
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Maria E. Arcila · 1×
Citations per year

Countries citing papers authored by Geoffrey R. Oxnard

Since Specialization
Citations

This map shows the geographic impact of Geoffrey R. Oxnard'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 Geoffrey R. Oxnard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Geoffrey R. Oxnard more than expected).

Fields of papers citing papers by Geoffrey R. Oxnard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geoffrey R. Oxnard. 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 Geoffrey R. Oxnard. The network helps show where Geoffrey R. Oxnard may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Geoffrey R. Oxnard, 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 Geoffrey R. Oxnard Line = papers co-authored together Geoffrey R. Oxnard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202179
2 202071
3 202031
4 201851
5 2018290
6 201763
7 201723
8 2016114
9 201692
10 2015177
11 201586
12 201530
13
Noninvasive Detection of Response and Resistance in EGFR -Mutant Lung Cancer Using Quantitative Next-Generation Genotyping of Cell-Free Plasma DNAbreakdown →
2014590
14 2012289
15 2011109
16 2011118
17 201150
18
Rebiopsy of Lung Cancer Patients with Acquired Resistance to EGFR Inhibitors and Enhanced Detection of the T790M Mutation Using a Locked Nucleic Acid-Based Assaybreakdown →
2011476
19
Acquired Resistance to EGFR Tyrosine Kinase Inhibitors in EGFR-Mutant Lung Cancer: Distinct Natural History of Patients with Tumors Harboring the T790M Mutationbreakdown →
2010485
20 201082

About Geoffrey R. Oxnard

Geoffrey R. Oxnard is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 299 papers that have together received 15.2k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (199 papers), Cancer Genomics and Diagnostics (155 papers), Colorectal Cancer Treatments and Studies (53 papers), Lung Cancer Research Studies (47 papers), Lung Cancer Diagnosis and Treatment (34 papers), Genetic factors in colorectal cancer (32 papers), Cancer Immunotherapy and Biomarkers (29 papers) and Gastric Cancer Management and Outcomes (19 papers). The work is most often cited by research in Cancer Research (6.3k citations), Pulmonary and Respiratory Medicine (11.1k citations) and Oncology (8.5k citations). Geoffrey R. Oxnard has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Pasi A. Jänne, Cloud P. Paweletz, Mark G. Kris, Vincent A. Miller, Suzanne E. Dahlberg, Marc Ladanyi, William Pao, Kenneth S. Thress, Maria E. Arcila and David M. Jackman.

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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