Jonathan R. Dry
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Colorectal Cancer Treatments and Studies
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Melanoma and MAPK Pathways 5
- CRISPR and Genetic Engineering 4
- DNA Repair Mechanisms 4
- Bioinformatics and Genomic Networks 4
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- Cancer Genomics and Diagnostics 11
- Co-authors
- Robert McEwen (5 shared papers)J. Carl Barrett (5 shared papers)Zhongwu Lai (5 shared papers)Brian Dougherty (4 shared papers)Miika Ahdesmäki (2 shared papers)Aleksandra Markovets (1 shared paper)Brad Chapman (1 shared paper)Oliver Hofmann (1 shared paper)
- Journals
- Clinical Cancer Research (3 papers)Cancer Research (3 papers)Nature Communications (3 papers)Oncotarget (3 papers)BMC Cancer (2 papers)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Jonathan R. Dry
33 papers receiving 1.4k citations
Jonathan R. Dry's Hit Papers
Peers
Comparison fields: 5 of 104
- Cancer Research 473
- Oncology 474
- Pathology and Forensic Medicine 228
- Molecular Biology 818
- Physiology 49
Countries citing papers authored by Jonathan R. Dry
This map shows the geographic impact of Jonathan R. Dry'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 Jonathan R. Dry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan R. Dry more than expected).
Fields of papers citing papers by Jonathan R. Dry
This network shows the impact of papers produced by Jonathan R. Dry. 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 Jonathan R. Dry. The network helps show where Jonathan R. Dry may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan R. Dry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | VarDict: a novel and versatile variant caller for next-generation sequencing in cancer research Hit paper breakdown → | 2016 | 497 |
| 2 | 2011 | 161 | |
| 3 | 2016 | 77 | |
| 4 | 2020 | 68 | |
| 5 | 2019 | 51 | |
| 6 | 2022 | 48 | |
| 7 | 2020 | 41 | |
| 8 | 2019 | 41 | |
| 9 | 2011 | 34 | |
| 10 | 2013 | 30 | |
| 11 | 2022 | 28 | |
| 12 | 2022 | 28 | |
| 13 | 2011 | 28 | |
| 14 | 2016 | 26 | |
| 15 | 2016 | 25 | |
| 16 | 2021 | 25 | |
| 17 | 2019 | 25 | |
| 18 | 2013 | 24 | |
| 19 | 2022 | 22 | |
| 20 | 2016 | 18 |
About Jonathan R. Dry
Jonathan R. Dry is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Melanoma and MAPK Pathways (5 papers), Lung Cancer Treatments and Mutations (5 papers), Computational Drug Discovery Methods (4 papers), PARP inhibition in cancer therapy (4 papers), CRISPR and Genetic Engineering (4 papers), DNA Repair Mechanisms (4 papers) and Bioinformatics and Genomic Networks (4 papers). The work is most often cited by research in Cancer Research (473 citations), Oncology (474 citations), Pathology and Forensic Medicine (228 citations), Molecular Biology (818 citations) and Physiology (49 citations). Jonathan R. Dry has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Robert McEwen, J. Carl Barrett, Zhongwu Lai, Brian Dougherty, Miika Ahdesmäki, Aleksandra Markovets, Brad Chapman, Oliver Hofmann, Paul D. Smith and Simon J. Cook. Their work appears in journals such as Clinical Cancer Research, Cancer Research, Nature Communications, Oncotarget and BMC 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.