Paul Daniel
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Estrogen and related hormone effects
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in ⓘ
- Genetics 14
- Glioma Diagnosis and Treatment 14
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- Cancer Genomics and Diagnostics 3
- MicroRNA in disease regulation 3
- Co-authors
- Bassam Abdulkarim (10 shared papers)Ahmad Chaddad (6 shared papers)Siham Sabri (8 shared papers)Theo Mantamadiotis (7 shared papers)Bertrand J. Jean‐Claude (3 shared papers)Gulay Filiz (6 shared papers)Tamim Niazi (3 shared papers)Brian Meehan (5 shared papers)
- Journals
- Frontiers in Oncology (3 papers)Neuro-Oncology (3 papers)Experimental and Molecular Pathology (1 paper)Clinical Cancer Research (1 paper)Cancer and Metastasis Reviews (1 paper)
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
Paul Daniel
29 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 119
- Genetics 409
- Cancer Research 283
- Radiology, Nuclear Medicine and Imaging 308
- Health Informatics 15
- Oncology 254
Countries citing papers authored by Paul Daniel
This map shows the geographic impact of Paul Daniel'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 Paul Daniel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Daniel more than expected).
Fields of papers citing papers by Paul Daniel
This network shows the impact of papers produced by Paul Daniel. 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 Paul Daniel. The network helps show where Paul Daniel may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Daniel, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 132 | |
| 2 | 2019 | 118 | |
| 3 | 2017 | 107 | |
| 4 | 2017 | 107 | |
| 5 | 1998 | 101 | |
| 6 | 1981 | 88 | |
| 7 | 2014 | 83 | |
| 8 | 2015 | 81 | |
| 9 | 2018 | 67 | |
| 10 | 2010 | 53 | |
| 11 | 2019 | 48 | |
| 12 | 2018 | 40 | |
| 13 | 2009 | 36 | |
| 14 | 2019 | 30 | |
| 15 | 2016 | 28 | |
| 16 | 1998 | 25 | |
| 17 | 2018 | 24 | |
| 18 | 2018 | 23 | |
| 19 | 2021 | 20 | |
| 20 | 2022 | 14 |
About Paul Daniel
Paul Daniel is a scholar working on Genetics, Cancer Research, Oncology, Public Administration and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (14 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Cancer Cells and Metastasis (3 papers), Cancer Genomics and Diagnostics (3 papers), MicroRNA in disease regulation (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Redox biology and oxidative stress (2 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Genetics (409 citations), Cancer Research (283 citations), Radiology, Nuclear Medicine and Imaging (308 citations), Health Informatics (15 citations) and Oncology (254 citations). Paul Daniel has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Bassam Abdulkarim, Ahmad Chaddad, Siham Sabri, Theo Mantamadiotis, Bertrand J. Jean‐Claude, Gulay Filiz, Tamim Niazi, Brian Meehan, Janusz Rak and Daniel V. Brown. Their work appears in journals such as Frontiers in Oncology, Neuro-Oncology, Experimental and Molecular Pathology, Clinical Cancer Research and Cancer and Metastasis Reviews.
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.