Harry Jubb
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Epigenetics and DNA Methylation
Papers in
-
- Protein Structure and Dynamics 6
- Bioinformatics and Genomic Networks 4
- Genetics, Bioinformatics, and Biomedical Research 2
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- Computational Drug Discovery Methods 4
- Co-authors
- Tom L. Blundell (10 shared papers)Alícia P. Higueruelo (6 shared papers)David B. Ascher (4 shared papers)Simon Forbes (4 shared papers)Tisham De (2 shared papers)Sally Bamford (2 shared papers)Chai Yin Kok (2 shared papers)Bhavana Harsha (2 shared papers)
- Journals
- Progress in Biophysics and Molecular Biology (3 papers)Trends in Pharmacological Sciences (1 paper)Current Protocols in Human Genetics (1 paper)Current Opinion in Pharmacology (1 paper)Database (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Harry Jubb
13 papers receiving 2.4k citations
Harry Jubb's Hit Papers
Peers
Comparison fields: 5 of 108
- Cancer Research 499
- Molecular Biology 1.6k
- Computational Theory and Mathematics 302
- Oncology 337
- Genetics 252
Countries citing papers authored by Harry Jubb
This map shows the geographic impact of Harry Jubb'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 Harry Jubb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harry Jubb more than expected).
Fields of papers citing papers by Harry Jubb
This network shows the impact of papers produced by Harry Jubb. 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 Harry Jubb. The network helps show where Harry Jubb may publish in the future.
Co-authors
The 25 scholars most cited alongside Harry Jubb, 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 | COSMIC: somatic cancer genetics at high-resolution Hit paper breakdown → | 2016 | 1338 |
| 2 | 2016 | 330 | |
| 3 | 2012 | 148 | |
| 4 | 2016 | 120 | |
| 5 | 2015 | 118 | |
| 6 | 2016 | 112 | |
| 7 | 2013 | 102 | |
| 8 | 2013 | 71 | |
| 9 | 2015 | 30 | |
| 10 | 2019 | 16 | |
| 11 | 2015 | 12 | |
| 12 | 2017 | 1 | |
| 13 | 2013 | 1 |
About Harry Jubb
Harry Jubb is a scholar working on Molecular Biology, Computational Theory and Mathematics, Radiology, Nuclear Medicine and Imaging, Genetics and Cancer Research, having authored 13 papers that have together received 2.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Bioinformatics and Genomic Networks (4 papers), Computational Drug Discovery Methods (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Genomics and Rare Diseases (3 papers), Cancer Genomics and Diagnostics (3 papers), Enzyme Structure and Function (2 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). The work is most often cited by research in Cancer Research (499 citations), Molecular Biology (1.6k citations), Computational Theory and Mathematics (302 citations), Oncology (337 citations) and Genetics (252 citations). Harry Jubb has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Tom L. Blundell, Alícia P. Higueruelo, David B. Ascher, Simon Forbes, Tisham De, Sally Bamford, Chai Yin Kok, Bhavana Harsha, Laura Ponting and Zbysław Sońdka. Their work appears in journals such as Progress in Biophysics and Molecular Biology, Trends in Pharmacological Sciences, Current Protocols in Human Genetics, Current Opinion in Pharmacology and Database.
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.