Daniel Sharpe
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Acute Myeloid Leukemia Research
Papers in
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- Complex Network Analysis Techniques 6
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- Gene Regulatory Network Analysis 4
- Protein Structure and Dynamics 3
- TGF-β signaling in diseases 2
- Epigenetics and DNA Methylation 2
- Co-authors
- David J. Wales (11 shared papers)Will Gersch (1 shared paper)Thomas D. Swinburne (3 shared papers)Fiona M. Furlong (2 shared papers)Malcolm Kell (1 shared paper)Sinéad Lindsay (1 shared paper)Amanda H McCann (1 shared paper)Luke Gubbins (1 shared paper)
- Journals
- The Journal of Chemical Physics (5 papers)Physical review. E (3 papers)Oncotarget (3 papers)International Journal of Gynecological Cancer (1 paper)The Journal of Physical Chemistry B (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Daniel Sharpe
26 papers receiving 501 citations
Peers
Comparison fields: 5 of 103
- Cancer Research 118
- Hematology 50
- Molecular Biology 292
- Statistical and Nonlinear Physics 44
- Statistics and Probability 22
Countries citing papers authored by Daniel Sharpe
This map shows the geographic impact of Daniel Sharpe'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 Daniel Sharpe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Sharpe more than expected).
Fields of papers citing papers by Daniel Sharpe
This network shows the impact of papers produced by Daniel Sharpe. 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 Daniel Sharpe. The network helps show where Daniel Sharpe may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Sharpe, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 141 | |
| 2 | 1973 | 68 | |
| 3 | 2014 | 42 | |
| 4 | 2012 | 33 | |
| 5 | 2013 | 29 | |
| 6 | 2020 | 21 | |
| 7 | 2013 | 19 | |
| 8 | 2021 | 18 | |
| 9 | 2013 | 17 | |
| 10 | 2019 | 17 | |
| 11 | 2020 | 16 | |
| 12 | 2019 | 14 | |
| 13 | 2020 | 13 | |
| 14 | 2023 | 10 | |
| 15 | On Slaty Cleavage | 2009 | 10 |
| 16 | 2018 | 8 | |
| 17 | 2017 | 7 | |
| 18 | 2018 | 7 | |
| 19 | 2021 | 7 | |
| 20 | 2015 | 5 |
About Daniel Sharpe
Daniel Sharpe is a scholar working on Statistical and Nonlinear Physics, Molecular Biology, Statistics and Probability, Cancer Research and Ecology, having authored 27 papers that have together received 521 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (6 papers), Gene Regulatory Network Analysis (4 papers), Protein Structure and Dynamics (3 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Markov Chains and Monte Carlo Methods (3 papers), TGF-β signaling in diseases (2 papers), Epigenetics and DNA Methylation (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Cancer Research (118 citations), Hematology (50 citations), Molecular Biology (292 citations), Statistical and Nonlinear Physics (44 citations) and Statistics and Probability (22 citations). Daniel Sharpe has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include David J. Wales, Will Gersch, Thomas D. Swinburne, Fiona M. Furlong, Malcolm Kell, Sinéad Lindsay, Amanda H McCann, Luke Gubbins, Stephen F. Madden and Jacintha N O'Sullivan. Their work appears in journals such as The Journal of Chemical Physics, Physical review. E, Oncotarget, International Journal of Gynecological Cancer and The Journal of Physical Chemistry B.
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.