Stuart E. Pearson

1.1k citations
21 papers · 956 · h-index 13

Impact in

Papers in

Stuart E. Pearson

21 papers receiving 914 citations

Peers

Stuart E. Pearson
Comparison fields: 5 of 58
  • Computational Theory and Mathematics 150
  • Cancer Research 122
  • Organic Chemistry 265
  • Genetics 188
  • Molecular Biology 244
Replace Lyman J. L. Feron with:
Lyman J. L. Feron United Kingdom
Darren Stead United Kingdom
Kevin D. Freeman‐Cook United States
Michael E. Tonge United Kingdom
Ryan D. R. Greenwood United Kingdom
Hua Xiang China
Gordon S. Currie United Kingdom
Zuping Xia United States
Duncan S. Holmes United Kingdom
Eric Leblanc Canada
Stuart E. Pearson relative to Lyman J. L. Feron United Kingdom Lyman J. L. Feron's profile →
Citations per field
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Lyman J. L. Feron · 1×
Citations per year

Countries citing papers authored by Stuart E. Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Stuart E. Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stuart E. Pearson. 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 Stuart E. Pearson. The network helps show where Stuart E. Pearson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013203
2 2016161
3 2015150
4 2012148
5 201856
6 200841
7 200630
8 201527
9 201825
10 200724
11 200520
12 200518
13 200718
14 20208
15 20167
16 20225
17 20184
18 20254
19 20023
20 20242

About Stuart E. Pearson

Stuart E. Pearson is a scholar working on Organic Chemistry, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Computational Theory and Mathematics, having authored 21 papers that have together received 956 indexed citations. Recurring topics across this work include Quinazolinone synthesis and applications (5 papers), Synthesis and biological activity (5 papers), Lung Cancer Treatments and Mutations (3 papers), HER2/EGFR in Cancer Research (3 papers), Synthesis of heterocyclic compounds (2 papers), Catalytic Cross-Coupling Reactions (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Computational Theory and Mathematics (150 citations), Cancer Research (122 citations), Organic Chemistry (265 citations), Genetics (188 citations) and Molecular Biology (244 citations). Stuart E. Pearson has collaborated with scholars based in United Kingdom, Sweden and China. Frequent co-authors include James S. Scott, Santosh Nandan, Ryan D. R. Greenwood, F. Geoffrey N. Cloke, Stephen Caddick, Kevin Hudson, Richard A. Norman, Alessandro T. Caputo, Jonathan M. Wingfield and Martin Vogtherr. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry, Synthesis and MedChemComm.

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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