James Smith
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Gene expression and cancer classification
Papers in
-
- Genomics and Phylogenetic Studies 2
- CRISPR and Genetic Engineering 2
- RNA and protein synthesis mechanisms 1
- Genetics 6
- BRCA gene mutations in cancer 3
- Co-authors
- Howard Lightfoot (1 shared paper)Ultan McDermott (1 shared paper)Daniel A. Haber (1 shared paper)P. Andrew Futreal (1 shared paper)I. Richard Thompson (1 shared paper)Cyril H. Benes (1 shared paper)Elena J. Edelman (1 shared paper)Mathew J. Garnett (1 shared paper)
- Journals
- Nature Genetics (2 papers)Foreign Affairs (1 paper)AI & Society (1 paper)Genome Research (1 paper)History of Education Quarterly (1 paper)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
James Smith
16 papers receiving 3.8k citations
James Smith's Hit Papers
Peers
Comparison fields: 5 of 162
- Cancer Research 704
- Molecular Biology 1.9k
- Computational Theory and Mathematics 451
- Pulmonary and Respiratory Medicine 687
- Oncology 537
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 | 2725 |
| 2 | 2003 | 381 | |
| 3 | 1991 | 184 | |
| 4 | 2004 | 106 | |
| 5 | 2010 | 95 | |
| 6 | 2004 | 91 | |
| 7 | 2019 | 73 | |
| 8 | 1991 | 68 | |
| 9 | 2018 | 53 | |
| 10 | 2005 | 52 | |
| 11 | 2019 | 25 | |
| 12 | 1989 | 21 | |
| 13 | 2021 | 14 | |
| 14 | 2016 | 9 | |
| 15 | 2006 | 7 | |
| 16 | 2010 | 1 | |
| 17 | Big Data and High-Performance Computing in Global Seismology | 2014 | 0 |
About James Smith
James Smith is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Sociology and Political Science and Strategy and Management, having authored 17 papers that have together received 3.9k 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), Genomics and Phylogenetic Studies (2 papers), CRISPR and Genetic Engineering (2 papers), Climate Change Communication and Perception (2 papers), Neuroethics, Human Enhancement, Biomedical Innovations (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Cancer Research (704 citations), Molecular Biology (1.9k citations), Computational Theory and Mathematics (451 citations), Pulmonary and Respiratory Medicine (687 citations) and Oncology (537 citations). James Smith has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Howard Lightfoot, Ultan McDermott, Daniel A. Haber, P. Andrew Futreal, I. Richard Thompson, Cyril H. Benes, Elena J. Edelman, Mathew J. Garnett, Patricia Greninger and Jorge Soares. Their work appears in journals such as Nature Genetics, Foreign Affairs, AI & Society, Genome Research and History of Education Quarterly.
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.