Paula J. Hurley
- Molecular Biology top 5%
- Cancer Research top 1%
- Immunology top 5%
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Fred BunzPaul M. HwangJu‐Gyeong KangSatoaki MatobaAndrew WraggManfred BoehmWillmar D. PatinoOksana Gavrilova
- Topics
- Prostate Cancer Treatment and Research (10 papers)Immunotherapy and Immune Responses (6 papers)Cancer Genomics and Diagnostics (6 papers)
- Cited by
- Cancer ResearchImmunologyOncology
- Partner nations
- United StatesCanadaMacao
In The Last Decade
Paula J. Hurley
36 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 1.9k
- Cancer Research 1.5k
- Immunology 863
- Oncology 850
- Pulmonary and Respiratory Medicine 352
Countries citing papers authored by Paula J. Hurley
This map shows the geographic impact of Paula J. Hurley'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 Paula J. Hurley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paula J. Hurley more than expected).
Fields of papers citing papers by Paula J. Hurley
This network shows the impact of papers produced by Paula J. Hurley. 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 Paula J. Hurley. The network helps show where Paula J. Hurley may publish in the future.
Co-authorship network of co-authors of Paula J. Hurley
This figure shows the co-authorship network connecting the top 25 collaborators of Paula J. Hurley. A scholar is included among the top collaborators of Paula J. Hurley 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 Paula J. Hurley. Paula J. Hurley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 11 | |
| 3 | 4 | |
| 4 | 13 | |
| 5 | 3 | |
| 6 | 52 | |
| 7 | 36 | |
| 8 | 37 | |
| 9 | 93 | |
| 10 | 17 | |
| 11 | 9 | |
| 12 | 22 | |
| 13 | 83 | |
| 14 | 65 | |
| 15 | 38 | |
| 16 | 40 | |
| 17 | 14 | |
| 18 | p53 Regulates Mitochondrial Respirationbreakdown → | 1327 |
| 19 | 47 | |
| 20 | The ubiquitin-modifying enzyme A20 is required for termination of Toll-like receptor responsesbreakdown → | 889 |
About Paula J. Hurley
Paula J. Hurley is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 3.3k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (10 papers), Immunotherapy and Immune Responses (6 papers) and Cancer Genomics and Diagnostics (6 papers). The work is most often cited by research in Cancer Research (1.5k citations), Immunology (863 citations) and Oncology (850 citations). Paula J. Hurley has collaborated with scholars based in United States, Canada and Macao. Frequent co-authors include Fred Bunz, Paul M. Hwang, Ju‐Gyeong Kang, Satoaki Matoba, Andrew Wragg, Manfred Boehm, Willmar D. Patino, Oksana Gavrilova, David L. Boone and Sophia Chai. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.
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.