Daniel Oliver
Impact in
Papers in ⓘ
-
- Brain Metastases and Treatment 28
- Lung Cancer Treatments and Mutations 12
- Oncology 28
- Lung Cancer Research Studies 14
- Cancer Immunotherapy and Biomarkers 6
- Cutaneous Melanoma Detection and Management 5
- Co-authors
- Kamran A. Ahmed (25 shared papers)Mohammad K. Khan (6 shared papers)Kirtesh R. Patel (6 shared papers)David H. Lawson (3 shared papers)G.Q. Yang (5 shared papers)Sana Shoukat (1 shared paper)Monica Rizzo (1 shared paper)Yuan Liu (1 shared paper)
- Journals
- Journal of Neuro-Oncology (5 papers)Neuro-Oncology (4 papers)International Journal of Radiation Oncology*Biology*Physics (4 papers)Journal of Clinical Oncology (4 papers)European Journal of Cancer (2 papers)
- Partner nations
- United StatesAustraliaSouth Korea
In The Last Decade
Daniel Oliver
47 papers receiving 878 citations
Peers
Comparison fields: 5 of 66
- Genetics 201
- Oncology 511
- Pulmonary and Respiratory Medicine 523
- Cancer Research 118
- Radiation 55
Countries citing papers authored by Daniel Oliver
This map shows the geographic impact of Daniel Oliver'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 Oliver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Oliver more than expected).
Fields of papers citing papers by Daniel Oliver
This network shows the impact of papers produced by Daniel Oliver. 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 Oliver. The network helps show where Daniel Oliver may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Oliver, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 151 | |
| 2 | 2021 | 90 | |
| 3 | 2014 | 66 | |
| 4 | 2018 | 62 | |
| 5 | 2019 | 61 | |
| 6 | 2015 | 52 | |
| 7 | 2019 | 49 | |
| 8 | 2017 | 42 | |
| 9 | 2018 | 42 | |
| 10 | 2018 | 37 | |
| 11 | 2018 | 28 | |
| 12 | 2017 | 24 | |
| 13 | 2015 | 18 | |
| 14 | 2022 | 16 | |
| 15 | 2019 | 12 | |
| 16 | 2020 | 11 | |
| 17 | 2023 | 9 | |
| 18 | 2020 | 9 | |
| 19 | 2022 | 9 | |
| 20 | 2021 | 8 |
About Daniel Oliver
Daniel Oliver is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Genetics and Epidemiology, having authored 50 papers that have together received 887 indexed citations. Recurring topics across this work include Brain Metastases and Treatment (28 papers), Lung Cancer Research Studies (14 papers), Lung Cancer Treatments and Mutations (12 papers), Glioma Diagnosis and Treatment (9 papers), Radiopharmaceutical Chemistry and Applications (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), Cutaneous Melanoma Detection and Management (5 papers) and Advanced Radiotherapy Techniques (5 papers). The work is most often cited by research in Genetics (201 citations), Oncology (511 citations), Pulmonary and Respiratory Medicine (523 citations), Cancer Research (118 citations) and Radiation (55 citations). Daniel Oliver has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Kamran A. Ahmed, Mohammad K. Khan, Kirtesh R. Patel, David H. Lawson, G.Q. Yang, Sana Shoukat, Monica Rizzo, Yuan Liu, Faisal Khosa and Mudit Chowdhary. Their work appears in journals such as Journal of Neuro-Oncology, Neuro-Oncology, International Journal of Radiation Oncology*Biology*Physics, Journal of Clinical Oncology and European Journal of Cancer.
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.