Sean Humphray
- Cancer Research top 0.5%
- Oncology top 2%
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 4
- CRISPR and Genetic Engineering 4
- Epigenetics and DNA Methylation 3
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- Chromosomal and Genetic Variations 8
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- Genomic variations and chromosomal abnormalities 7
- Animal Genetics and Reproduction 4
- Genetic Associations and Epidemiology 3
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- T-cell and B-cell Immunology 4
- Co-authors
- Carlos CaldasTim ForshewSuet‐Feung ChinNitzan RosenfeldDana W.Y. TsuiDavina GaleMuhammed MurtazaSarah‐Jane Dawson
- Journals
- Nature (1 paper)New England Journal of Medicine (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Sean Humphray
34 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Cancer Research 2.7k
- Oncology 1.4k
- Pathology and Forensic Medicine 791
- Pulmonary and Respiratory Medicine 1.3k
- Molecular Biology 2.5k
Countries citing papers authored by Sean Humphray
This map shows the geographic impact of Sean Humphray'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 Sean Humphray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean Humphray more than expected).
Fields of papers citing papers by Sean Humphray
This network shows the impact of papers produced by Sean Humphray. 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 Sean Humphray. The network helps show where Sean Humphray may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sean Humphray, 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 | 2017 | 19 | |
| 2 | 2016 | 220 | |
| 3 | 2013 | 204 | |
| 4 | Analysis of Circulating Tumor DNA to Monitor Metastatic Breast Cancerbreakdown → | 2013 | 1634 |
| 5 | Non-invasive analysis of acquired resistance to cancer therapy by sequencing of plasma DNAbreakdown → | 2013 | 1219 |
| 6 | 2011 | 4 | |
| 7 | 2009 | 66 | |
| 8 | 2008 | 102 | |
| 9 | 2007 | 38 | |
| 10 | 2007 | 37 | |
| 11 | 2006 | 38 | |
| 12 | 2005 | 67 | |
| 13 | 2005 | 84 | |
| 14 | 2004 | 79 | |
| 15 | 2004 | 88 | |
| 16 | 2003 | 3 | |
| 17 | 2001 | 10 | |
| 18 | 2000 | 10 | |
| 19 | 1998 | 30 | |
| 20 | 1998 | 65 |
About Sean Humphray
Sean Humphray is a scholar working on Genetics, Biotechnology and Molecular Biology, having authored 34 papers that have together received 5.3k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (8 papers), Genomic variations and chromosomal abnormalities (7 papers), Genomics and Phylogenetic Studies (4 papers), CRISPR and Genetic Engineering (4 papers), Animal Genetics and Reproduction (4 papers), T-cell and B-cell Immunology (4 papers), Genetic Associations and Epidemiology (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (2.7k citations), Oncology (1.4k citations) and Pathology and Forensic Medicine (791 citations). Sean Humphray has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Carlos Caldas, Tim Forshew, Suet‐Feung Chin, Nitzan Rosenfeld, Dana W.Y. Tsui, Davina Gale, Muhammed Murtaza, Sarah‐Jane Dawson, David Bentley and Jane Rogers. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.