Daniel J. Fazakerley
- Molecular Biology top 5%
- Physiology top 2%
- Epidemiology top 5%
- Surgery top 10%
- Cell Biology top 2%
- Co-authors
- David E. JamesJacqueline StöckliJames R. KrycerPengyi YangSean J. HumphreyJames G. BurchfieldGuang YangBenjamin L. Parker
- Topics
- Metabolism, Diabetes, and Cancer (32 papers)Adipose Tissue and Metabolism (30 papers)Pancreatic function and diabetes (13 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Daniel J. Fazakerley
64 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 2.2k
- Physiology 1.2k
- Epidemiology 528
- Surgery 510
- Cell Biology 481
Countries citing papers authored by Daniel J. Fazakerley
This map shows the geographic impact of Daniel J. Fazakerley'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. Fazakerley 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. Fazakerley more than expected).
Fields of papers citing papers by Daniel J. Fazakerley
This network shows the impact of papers produced by Daniel J. Fazakerley. 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. Fazakerley. The network helps show where Daniel J. Fazakerley may publish in the future.
Co-authorship network of co-authors of Daniel J. Fazakerley
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Fazakerley. A scholar is included among the top collaborators of Daniel J. Fazakerley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel J. Fazakerley. Daniel J. Fazakerley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 17 | |
| 6 | 11 | |
| 7 | 36 | |
| 8 | 13 | |
| 9 | 19 | |
| 10 | 17 | |
| 11 | 11 | |
| 12 | 15 | |
| 13 | 329 | |
| 14 | 11 | |
| 15 | Unravelling signal coordination from large scale phosphorylation kinetic data | 1 |
| 16 | 46 | |
| 17 | 320 | |
| 18 | 8 | |
| 19 | 7 | |
| 20 | 17 |
About Daniel J. Fazakerley
Daniel J. Fazakerley is a scholar working on Physiology, Molecular Biology and Aging, having authored 67 papers that have together received 3.3k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (32 papers), Adipose Tissue and Metabolism (30 papers) and Pancreatic function and diabetes (13 papers). The work is most often cited by research in Physiology (1.2k citations), Molecular Biology (2.2k citations) and Cell Biology (481 citations). Daniel J. Fazakerley has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include David E. James, Jacqueline Stöckli, James R. Krycer, Pengyi Yang, Sean J. Humphrey, James G. Burchfield, Guang Yang, Benjamin L. Parker, Jean Yang and Kristen C. Thomas. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Cell Biology.
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.