Dayle Hacking
- Oncology top 10%
- Pulmonary and Respiratory Medicine top 5%
- Molecular Biology
- Surgery
- Pathology and Forensic Medicine
- Co-authors
- Raymond P. AbrattL. GoedhalsW. R. BezwodaGeoffrey FalksonTerence RuggMichael FarrellCormac SmallP. Thirion
- Topics
- Cancer survivorship and care (5 papers)Lung Cancer Treatments and Mutations (5 papers)Cancer Treatment and Pharmacology (4 papers)
- Journals
- Journal of Clinical OncologyBritish Journal of CancerInternational Journal of Radiation Oncology*Biology*Physics
- Partner nations
- IrelandSouth AfricaUnited States
In The Last Decade
Dayle Hacking
18 papers receiving 612 citations
Peers
Comparison fields: 5 of 61
- Oncology 448
- Pulmonary and Respiratory Medicine 390
- Molecular Biology 165
- Surgery 113
- Pathology and Forensic Medicine 59
Countries citing papers authored by Dayle Hacking
This map shows the geographic impact of Dayle Hacking'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 Dayle Hacking with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dayle Hacking more than expected).
Fields of papers citing papers by Dayle Hacking
This network shows the impact of papers produced by Dayle Hacking. 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 Dayle Hacking. The network helps show where Dayle Hacking may publish in the future.
Co-authorship network of co-authors of Dayle Hacking
This figure shows the co-authorship network connecting the top 25 collaborators of Dayle Hacking. A scholar is included among the top collaborators of Dayle Hacking 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 Dayle Hacking. Dayle Hacking 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 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 21 | |
| 6 | 11 | |
| 7 | 27 | |
| 8 | 25 | |
| 9 | 21 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 22 | |
| 13 | 10 | |
| 14 | 6 | |
| 15 | Molecular diagnosis of multiple endocrine neoplasia type 2A. | 2 |
| 16 | 155 | |
| 17 | Weekly gemcitabine and monthly cisplatin for advanced non-small cell lung carcinoma. | 12 |
| 18 | 9 | |
| 19 | 312 |
About Dayle Hacking
Dayle Hacking is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Otorhinolaryngology, having authored 19 papers that have together received 644 indexed citations. Recurring topics across this work include Cancer survivorship and care (5 papers), Lung Cancer Treatments and Mutations (5 papers) and Cancer Treatment and Pharmacology (4 papers). The work is most often cited by research in Oncology (448 citations), Pulmonary and Respiratory Medicine (390 citations) and Hematology (44 citations). Dayle Hacking has collaborated with scholars based in Ireland, South Africa and United States. Frequent co-authors include Raymond P. Abratt, L. Goedhals, W. R. Bezwoda, Geoffrey Falkson, Terence Rugg, Michael Farrell, Cormac Small, P. Thirion, Paul Kelly and M. Moriarty. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Cancer and International Journal of Radiation Oncology*Biology*Physics.
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.