Daniel Cox
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Otorhinolaryngology top 5%
- Sinusitis and nasal conditions
Papers in
- Surgery 11
- Organ Transplantation Techniques and Outcomes 3
- Diverticular Disease and Complications 2
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- Sinusitis and nasal conditions 5
- Co-authors
- Roy M. Anderson (1 shared paper)LM Ho (1 shared paper)Christophe Fraser (1 shared paper)Azra C. Ghani (1 shared paper)A J Hedley (1 shared paper)Christl A. Donnelly (1 shared paper)Wai‐Sum Chan (1 shared paper)TH Lam (1 shared paper)
- Journals
- ANZ Journal of Surgery (3 papers)International Forum of Allergy & Rhinology (3 papers)Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture (2 papers)American Journal of Epidemiology (1 paper)Otolaryngologic Clinics of North America (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Daniel Cox
33 papers receiving 406 citations
Peers
Comparison fields: 5 of 100
- Modeling and Simulation 95
- Otorhinolaryngology 73
- Transplantation 23
- Infectious Diseases 69
- Immunology and Allergy 14
Countries citing papers authored by Daniel Cox
This map shows the geographic impact of Daniel Cox'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 Cox with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Cox more than expected).
Fields of papers citing papers by Daniel Cox
This network shows the impact of papers produced by Daniel Cox. 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 Cox. The network helps show where Daniel Cox may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Cox, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 156 | |
| 2 | 2015 | 43 | |
| 3 | 2018 | 37 | |
| 4 | 2016 | 28 | |
| 5 | 2020 | 19 | |
| 6 | 2021 | 16 | |
| 7 | 2019 | 14 | |
| 8 | 2010 | 13 | |
| 9 | 2021 | 11 | |
| 10 | 2018 | 8 | |
| 11 | 1993 | 8 | |
| 12 | 2020 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2018 | 6 | |
| 15 | 1997 | 6 | |
| 16 | 2021 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2021 | 3 |
About Daniel Cox
Daniel Cox is a scholar working on Surgery, Otorhinolaryngology, Cancer Research, Oncology and Transplantation, having authored 36 papers that have together received 419 indexed citations. Recurring topics across this work include Sinusitis and nasal conditions (5 papers), Cancer Genomics and Diagnostics (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Allergic Rhinitis and Sensitization (2 papers), Manufacturing Process and Optimization (2 papers), Diverticular Disease and Complications (2 papers) and Clinical Nutrition and Gastroenterology (1 paper). The work is most often cited by research in Modeling and Simulation (95 citations), Otorhinolaryngology (73 citations), Transplantation (23 citations), Infectious Diseases (69 citations) and Immunology and Allergy (14 citations). Daniel Cox has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Roy M. Anderson, LM Ho, Christophe Fraser, Azra C. Ghani, A J Hedley, Christl A. Donnelly, Wai‐Sum Chan, TH Lam, Jamie T. Griffin and GM Leung. Their work appears in journals such as ANZ Journal of Surgery, International Forum of Allergy & Rhinology, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, American Journal of Epidemiology and Otolaryngologic Clinics of North America.
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.