James Smith

8.8k citations
15 papers · 3.8k · 1 hit paper · h-index 12

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer-related molecular mechanisms research
    • Bioinformatics and Genomic Networks
    • RNA modifications and cancer
    • Gene expression and cancer classification

Papers in

    • BRCA gene mutations in cancer 3
    • CRISPR and Genetic Engineering 2
    • RNA and protein synthesis mechanisms 1

James Smith

14 papers receiving 3.7k citations

James Smith's Hit Papers

Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells 2012 · 2.7k citations
2.7k0+4+9Years since publication50010001.5k2.0k2.5k

Peers

James Smith
Comparison fields: 5 of 161
  • Cancer Research 697
  • Molecular Biology 1.9k
  • Computational Theory and Mathematics 439
  • Pulmonary and Respiratory Medicine 686
  • Oncology 535
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Richard M. Neve United States
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James Smith relative to Seungchan Kim United States Seungchan Kim's profile →
Citations per field
00.5×1.5×2.1×
Seungchan Kim · 1×
Citations per year

Countries citing papers authored by James Smith

Since Specialization
Citations

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

Fields of papers citing papers by James Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells
Hit paper breakdown →
20122692
2 2003374
3 1991156
4 2004103
5 201094
6 200484
7 201966
8 199154
9 200550
10 201850
11 201925
12 202113
13 20169
14 20101
15
Big Data and High-Performance Computing in Global Seismology
20140

About James Smith

James Smith is a scholar working on Genetics, Molecular Biology, Public Health, Environmental and Occupational Health, Sociology and Political Science and Strategy and Management, having authored 15 papers that have together received 3.8k indexed citations. Recurring topics across this work include Ethics in Clinical Research (4 papers), BRCA gene mutations in cancer (3 papers), Political Influence and Corporate Strategies (2 papers), CRISPR and Genetic Engineering (2 papers), Climate Change Communication and Perception (2 papers), Neuroethics, Human Enhancement, Biomedical Innovations (1 paper), RNA and protein synthesis mechanisms (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (697 citations), Molecular Biology (1.9k citations), Computational Theory and Mathematics (439 citations), Pulmonary and Respiratory Medicine (686 citations) and Oncology (535 citations). James Smith has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Jorge Soares, Nidhi Bindal, Howard Lightfoot, Elena J. Edelman, Wanjuan Yang, Michael R. Stratton, I. Richard Thompson, Mathew J. Garnett, Cyril H. Benes and Ultan McDermott. Their work appears in journals such as Nature Genetics, European Journal of Medical Genetics, History of Education Quarterly, Human Genetics and Genes Chromosomes and Cancer.

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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