James Yates

147 papers receiving 3.5k 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 · 534 citations
5340+3+6Years since publication100200300400500

Peers

James Yates
Comparison fields: 5 of 166
  • Pharmacology 418
  • Orthopedics and Sports Medicine 365
  • Occupational Therapy 172
  • Oncology 834
  • Rehabilitation 146
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
Moray J. Campbell United States
Cees Neef Netherlands
Seongho Kim United States
Dawei Ye China
James Yates relative to Chao Xu China Chao Xu's profile →
Citations per field
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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 155 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 →
2016534
2 2018237
3 2011150
4 2011132
5 2002113
6 2011107
7 2015104
8 2019103
9 201586
10 201881
11 201267
12 202265
13 198657
14 198057
15 201149
16 201347
17 201146
18 201945
19 201145
20 201542

About James Yates

James Yates is a scholar working on Molecular Biology, Oncology, Orthopedics and Sports Medicine, Pharmacology and Biomedical Engineering, having authored 155 papers that have together received 3.6k 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 (418 citations), Orthopedics and Sports Medicine (365 citations), Occupational Therapy (172 citations), Oncology (834 citations) and Rehabilitation (146 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, David R. Gater, E. Kamon, Pasi A. Jänne, Peter Johnström, Mireille Cantarini and James Chih‐Hsin Yang. 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 Computer Methods and Programs in Biomedicine.

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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