James Yates

147 papers receiving 3.6k citations

James Yates's Hit Papers

Preclinical Comparison of Osimertinib with Other EGFR-TKIs in EGFR-Mutant NSCLC Brain Metastases Models, and Early Evidence of Clinical Brain Metastases Activity 2016 · 544 citations
5440+3+6Years since publication100200300400500

Peers

James Yates
Comparison fields: 5 of 168
  • Pharmacology 444
  • Orthopedics and Sports Medicine 374
  • Occupational Therapy 173
  • Oncology 863
  • Rehabilitation 149
Replace Chao Xu with:
Chao Xu China
Rong Xu United States
Weichung Joe Shih United States
Stephen C. Bain United Kingdom
Olga Golubnitschaja Germany
Jeannine S. McCune United States
Seongho Kim United States
Péter Gál Slovakia
Satoshi Miyata Japan
Donald E. Mager United States
James Yates relative to Chao Xu China Chao Xu's profile →
Citations per field
00.5×6.8×
Chao Xu · 1×
Citations per year

Countries citing papers authored by James Yates

Since Specialization
Citations

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

Fields of papers citing papers by James Yates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Yates. 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 James Yates. The network helps show where James Yates may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Preclinical Comparison of Osimertinib with Other EGFR-TKIs in EGFR-Mutant NSCLC Brain Metastases Models, and Early Evidence of Clinical Brain Metastases Activity
Hit paper breakdown →
2016544
2 2018239
3 2011158
4 2011141
5 2002115
6 2011111
7 2015105
8 2019103
9 201586
10 201882
11 201268
12 202266
13 198663
14 198060
15 201153
16 201351
17 201149
18 201147
19 201546
20 201945

About James Yates

James Yates is a scholar working on Molecular Biology, Oncology, Orthopedics and Sports Medicine, Pharmacology and Biomedical Engineering, having authored 156 papers that have together received 3.7k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (16 papers), Mathematical Biology Tumor Growth (15 papers), Sports Performance and Training (14 papers), Analytical Chemistry and Chromatography (13 papers), Statistical Methods in Clinical Trials (12 papers), Sports injuries and prevention (11 papers), Cancer Genomics and Diagnostics (10 papers) and Computational Drug Discovery Methods (10 papers). The work is most often cited by research in Pharmacology (444 citations), Orthopedics and Sports Medicine (374 citations), Occupational Therapy (173 citations), Oncology (863 citations) and Rehabilitation (149 citations). James Yates has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Waldemar Karwowski, Darren A.E. Cross, Mark G. Abel, Peter Ballard, E. Kamon, David R. Gater, James Chih‐Hsin Yang, Pasi A. Jänne, Mireille Cantarini and Peter Johnström. Their work appears in journals such as The Journal of Strength and Conditioning Research, Medicine & Science in Sports & Exercise, CPT Pharmacometrics & Systems Pharmacology, Journal of Pharmaceutical Sciences and Cancer Research.

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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