Kimberley Pryor
- Rheumatology top 1%
- Immunology top 5%
- Physiology top 5%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Stephen M. MahlerAsne R. BauskinStella M. ValenzuelaMichelle BootcovAnthony G. MooreXiao Yan HeRichard C. NicholsonW. Douglas Fairlie
- Topics
- Ichthyology and Marine Biology (5 papers)Coral and Marine Ecosystems Studies (4 papers)Marine animal studies overview (3 papers)
- Cited by
- RheumatologyImmunologyPhysiology
- Journals
- Proceedings of the National Academy of SciencesBritish Journal of CancerMolecular Pharmacology
- Partner nations
- AustraliaUnited StatesSweden
In The Last Decade
Kimberley Pryor
13 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Rheumatology 803
- Immunology 568
- Physiology 535
- Molecular Biology 251
- Cellular and Molecular Neuroscience 161
Countries citing papers authored by Kimberley Pryor
This map shows the geographic impact of Kimberley Pryor'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 Kimberley Pryor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberley Pryor more than expected).
Fields of papers citing papers by Kimberley Pryor
This network shows the impact of papers produced by Kimberley Pryor. 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 Kimberley Pryor. The network helps show where Kimberley Pryor may publish in the future.
Co-authorship network of co-authors of Kimberley Pryor
This figure shows the co-authorship network connecting the top 25 collaborators of Kimberley Pryor. A scholar is included among the top collaborators of Kimberley Pryor 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 Kimberley Pryor. Kimberley Pryor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 7 | |
| 7 | MIC-1, a novel macrophage inhibitory cytokine, is a divergent member of the TGF-β superfamilybreakdown → | 956 |
| 8 | 27 | |
| 9 | 51 | |
| 10 | 38 | |
| 11 | 52 | |
| 12 | 1 | |
| 13 | 13 |
About Kimberley Pryor
Kimberley Pryor is a scholar working on Nature and Landscape Conservation, Ecology and Immunology and Allergy, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ichthyology and Marine Biology (5 papers), Coral and Marine Ecosystems Studies (4 papers) and Marine animal studies overview (3 papers). The work is most often cited by research in Rheumatology (803 citations), Immunology (568 citations) and Physiology (535 citations). Kimberley Pryor has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Stephen M. Mahler, Asne R. Bauskin, Stella M. Valenzuela, Michelle Bootcov, Anthony G. Moore, Xiao Yan He, Richard C. Nicholson, W. Douglas Fairlie, Bradley J. Walsh and Hong Ping Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, British Journal of Cancer and Molecular Pharmacology.
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.