James Smith
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- RNA modifications and cancer
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
Papers in ⓘ
- Genetics 7
- BRCA gene mutations in cancer 3
- Genomic variations and chromosomal abnormalities 2
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- Ethics in Clinical Research 4
- Co-authors
- Wanjuan Yang (1 shared paper)Elena J. Edelman (1 shared paper)Howard Lightfoot (1 shared paper)Daniel A. Haber (1 shared paper)Ultan McDermott (1 shared paper)Nidhi Bindal (1 shared paper)Sridhar Ramaswamy (1 shared paper)Jorge Soares (1 shared paper)
- Journals
- Nature Genetics (2 papers)BMC Genomics (1 paper)European Journal of Human Genetics (1 paper)History of Education Quarterly (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
James Smith
14 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Cancer Research 973
- Molecular Biology 2.3k
- Computational Theory and Mathematics 497
- Pulmonary and Respiratory Medicine 929
- Oncology 718
Countries citing papers authored by James Smith
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells Hit paper breakdown → | 2012 | 2597 |
| 2 | 2003 | 373 | |
| 3 | 1991 | 156 | |
| 4 | 2004 | 103 | |
| 5 | 2010 | 94 | |
| 6 | 2004 | 84 | |
| 7 | 2019 | 65 | |
| 8 | 1991 | 54 | |
| 9 | 2018 | 50 | |
| 10 | 2005 | 50 | |
| 11 | 2019 | 24 | |
| 12 | 2021 | 13 | |
| 13 | 2016 | 9 | |
| 14 | 2010 | 1 | |
| 15 | Big Data and High-Performance Computing in Global Seismology | 2014 | 0 |
About James Smith
James Smith is a scholar working on Genetics, Public Health, Environmental and Occupational Health, Strategy and Management, Safety Research and Computer Networks and Communications, having authored 15 papers that have together received 3.7k indexed citations. Recurring topics across this work include Ethics in Clinical Research (4 papers), BRCA gene mutations in cancer (3 papers), Genomics and Phylogenetic Studies (2 papers), CRISPR and Genetic Engineering (2 papers), Political Influence and Corporate Strategies (2 papers), Climate Change Communication and Perception (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Caching and Content Delivery (1 paper). The work is most often cited by research in Cancer Research (973 citations), Molecular Biology (2.3k citations), Computational Theory and Mathematics (497 citations), Pulmonary and Respiratory Medicine (929 citations) and Oncology (718 citations). James Smith has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Wanjuan Yang, Elena J. Edelman, Howard Lightfoot, Daniel A. Haber, Ultan McDermott, Nidhi Bindal, Sridhar Ramaswamy, Jorge Soares, P. Andrew Futreal and Simon Forbes. Their work appears in journals such as Nature Genetics, BMC Genomics, European Journal of Human Genetics, History of Education Quarterly and BMC Bioinformatics.
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.