James Yates

5.9k total citations · 1 hit paper
152 papers, 3.6k citations indexed

About

James Yates is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, James Yates has authored 152 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 30 papers in Oncology and 20 papers in Pharmacology. Recurrent topics in James Yates's work include Pharmacogenetics and Drug Metabolism (19 papers), Mathematical Biology Tumor Growth (17 papers) and Cancer Genomics and Diagnostics (14 papers). James Yates is often cited by papers focused on Pharmacogenetics and Drug Metabolism (19 papers), Mathematical Biology Tumor Growth (17 papers) and Cancer Genomics and Diagnostics (14 papers). James Yates collaborates with scholars based in United Kingdom, United States and Singapore. James Yates's 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 and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

James Yates

146 papers receiving 3.4k citations

Hit Papers

Preclinical Comparison of Osimertinib with Other EGFR-TKI... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers

James Yates
Comparison fields: 5 of 167
  • Oncology 1.1k
  • Molecular Biology 926
  • Pulmonary and Respiratory Medicine 767
  • Pharmacology 448
  • Orthopedics and Sports Medicine 412
Replace Chao Xu with:
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Dawei Ye China
Hans C. Lee United States
Kálmán Tóth Hungary
Seongho Kim United States
Mitsuhiro Nakamura Japan
Jeannine S. McCune United States
Yong Wang China
Xiang Xie China
Olga Golubnitschaja Germany
Chao Xu United States View profile →
Citations per field, relative to James Yates
James Yates · 1×
Citations per year, relative to James Yates
James Yates · 1×

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-authorship network of co-authors of James Yates

This figure shows the co-authorship network connecting the top 25 collaborators of James Yates. A scholar is included among the top collaborators of James Yates based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James Yates. James Yates is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 2
3 3
4 19
5 1
6 6
7 2
8 1
9 7
10 1
11 2
12 79
13
Preclinical Comparison of Osimertinib with Other EGFR-TKIs in EGFR-Mutant NSCLC Brain Metastases Models, and Early Evidence of Clinical Brain Metastases Activity breakdown →
523
14 34
15 103
16 42
17 8
18 3
19 32
20 18

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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