Daniel J. Murphy
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Oncology top 5%
- Cancer-related Molecular Pathways
Papers in
-
- Ubiquitin and proteasome pathways 5
- Metabolism, Diabetes, and Cancer 5
- Mitochondrial Function and Pathology 4
- Oncology 14
- Cancer-related Molecular Pathways 8
- Co-authors
- Gérard I. Evan (8 shared papers)Lamorna Brown Swigart (4 shared papers)Anthony N. Karnezis (2 shared papers)Carla P. Martins (3 shared papers)Andrew J. Finch (2 shared papers)Jonathan R. Whitfield (1 shared paper)Laura Soucek (1 shared paper)Nicole M. Sodir (1 shared paper)
- Journals
- Molecular and Cellular Biology (3 papers)Oncogene (3 papers)Molecular Cell (2 papers)Nature (2 papers)Cell Death and Disease (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Daniel J. Murphy
43 papers receiving 3.0k citations
Daniel J. Murphy's Hit Papers
Peers
Comparison fields: 5 of 119
- Cancer Research 589
- Oncology 759
- Molecular Biology 2.1k
- Immunology 308
- Aging 26
Countries citing papers authored by Daniel J. Murphy
This map shows the geographic impact of Daniel J. Murphy'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 J. Murphy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Murphy more than expected).
Fields of papers citing papers by Daniel J. Murphy
This network shows the impact of papers produced by Daniel J. Murphy. 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 J. Murphy. The network helps show where Daniel J. Murphy may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Murphy, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Modelling Myc inhibition as a cancer therapy Hit paper breakdown → | 2008 | 650 |
| 2 | 2015 | 349 | |
| 3 | 2008 | 344 | |
| 4 | 2012 | 211 | |
| 5 | 2015 | 198 | |
| 6 | 2001 | 157 | |
| 7 | 2009 | 156 | |
| 8 | 1999 | 117 | |
| 9 | 2015 | 78 | |
| 10 | 2018 | 75 | |
| 11 | 2018 | 71 | |
| 12 | 2017 | 68 | |
| 13 | 2015 | 58 | |
| 14 | 2014 | 57 | |
| 15 | 2004 | 53 | |
| 16 | 2012 | 43 | |
| 17 | 2010 | 41 | |
| 18 | 2016 | 37 | |
| 19 | 2008 | 33 | |
| 20 | 2017 | 27 |
About Daniel J. Murphy
Daniel J. Murphy is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (8 papers), Ubiquitin and proteasome pathways (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), Occupational and environmental lung diseases (4 papers), Mitochondrial Function and Pathology (4 papers), Cancer Research and Treatments (4 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Cancer Research (589 citations), Oncology (759 citations), Molecular Biology (2.1k citations), Immunology (308 citations) and Aging (26 citations). Daniel J. Murphy has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Gérard I. Evan, Lamorna Brown Swigart, Anthony N. Karnezis, Carla P. Martins, Andrew J. Finch, Jonathan R. Whitfield, Laura Soucek, Nicole M. Sodir, Sergio Nasi and Nathiya Muthalagu. Their work appears in journals such as Molecular and Cellular Biology, Oncogene, Molecular Cell, Nature and Cell Death and Disease.
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.